id	sid	tid	token	lemma	pos
ajst-4785	1	1	academic	academic	ADJ
ajst-4785	1	2	journal	journal	NOUN
ajst-4785	1	3	of	of	ADP
ajst-4785	1	4	science	science	NOUN
ajst-4785	1	5	and	and	CCONJ
ajst-4785	1	6	technology	technology	NOUN
ajst-4785	1	7	issn	issn	NOUN
ajst-4785	1	8	:	:	PUNCT
ajst-4785	1	9	2771	2771	NUM
ajst-4785	1	10	-	-	SYM
ajst-4785	1	11	3032	3032	NUM
ajst-4785	1	12	|	|	NOUN
ajst-4785	1	13	vol	vol	NOUN
ajst-4785	1	14	.	.	PROPN
ajst-4785	2	1	4	4	NUM
ajst-4785	2	2	,	,	PUNCT
ajst-4785	2	3	no	no	INTJ
ajst-4785	2	4	.	.	NOUN
ajst-4785	2	5	3	3	NUM
ajst-4785	2	6	,	,	PUNCT
ajst-4785	2	7	2022	2022	NUM
ajst-4785	2	8	51	51	NUM
ajst-4785	2	9	research	research	NOUN
ajst-4785	2	10	on	on	ADP
ajst-4785	2	11	remote	remote	ADJ
ajst-4785	2	12	sensing	sense	VERB
ajst-4785	2	13	retrieval	retrieval	NOUN
ajst-4785	2	14	method	method	NOUN
ajst-4785	2	15	of	of	ADP
ajst-4785	2	16	pm2.5	pm2.5	PROPN
ajst-4785	2	17	based	base	VERB
ajst-4785	2	18	on	on	ADP
ajst-4785	2	19	fy‐4a	fy‐4a	PROPN
ajst-4785	2	20	satellite	satellite	NOUN
ajst-4785	2	21	with	with	ADP
ajst-4785	2	22	multiple	multiple	ADJ
ajst-4785	2	23	machine	machine	NOUN
ajst-4785	2	24	learning	learn	VERB
ajst-4785	2	25	methods	method	NOUN
ajst-4785	2	26	wenwei	wenwei	NOUN
ajst-4785	2	27	li1	li1	NOUN
ajst-4785	2	28	,	,	PUNCT
ajst-4785	2	29	xiaofang	xiaofang	PROPN
ajst-4785	2	30	liu1	liu1	PROPN
ajst-4785	2	31	,	,	PUNCT
ajst-4785	2	32	*	*	PROPN
ajst-4785	2	33	1	1	NUM
ajst-4785	2	34	school	school	NOUN
ajst-4785	2	35	of	of	ADP
ajst-4785	2	36	computer	computer	NOUN
ajst-4785	2	37	science	science	NOUN
ajst-4785	2	38	and	and	CCONJ
ajst-4785	2	39	engineering	engineering	NOUN
ajst-4785	2	40	,	,	PUNCT
ajst-4785	2	41	sichuan	sichuan	PROPN
ajst-4785	2	42	university	university	PROPN
ajst-4785	2	43	of	of	ADP
ajst-4785	2	44	science	science	PROPN
ajst-4785	2	45	&	&	CCONJ
ajst-4785	2	46	engineering	engineering	PROPN
ajst-4785	2	47	,	,	PUNCT
ajst-4785	2	48	yibin	yibin	PROPN
ajst-4785	2	49	,	,	PUNCT
ajst-4785	2	50	644000	644000	NUM
ajst-4785	2	51	,	,	PUNCT
ajst-4785	2	52	china	china	PROPN
ajst-4785	2	53	*	*	PUNCT
ajst-4785	2	54	corresponding	correspond	VERB
ajst-4785	2	55	author	author	NOUN
ajst-4785	2	56	:	:	PUNCT
ajst-4785	2	57	liu	liu	PROPN
ajst-4785	2	58	xiaofang(email	xiaofang(email	PROPN
ajst-4785	2	59	:	:	PUNCT
ajst-4785	3	1	lxf1969@suse.edu.cn	lxf1969@suse.edu.cn	ADJ
ajst-4785	3	2	)	)	PUNCT
ajst-4785	3	3	abstract	abstract	NOUN
ajst-4785	3	4	:	:	PUNCT
ajst-4785	3	5	satellite	satellite	NOUN
ajst-4785	3	6	remote	remote	ADJ
ajst-4785	3	7	sensing	sense	VERB
ajst-4785	3	8	technology	technology	NOUN
ajst-4785	3	9	can	can	AUX
ajst-4785	3	10	see	see	VERB
ajst-4785	3	11	the	the	DET
ajst-4785	3	12	breadth	breadth	NOUN
ajst-4785	3	13	and	and	CCONJ
ajst-4785	3	14	fineness	fineness	NOUN
ajst-4785	3	15	that	that	SCONJ
ajst-4785	3	16	humans	human	NOUN
ajst-4785	3	17	can	can	AUX
ajst-4785	3	18	not	not	PART
ajst-4785	3	19	see	see	VERB
ajst-4785	3	20	,	,	PUNCT
ajst-4785	3	21	and	and	CCONJ
ajst-4785	3	22	can	can	AUX
ajst-4785	3	23	see	see	VERB
ajst-4785	3	24	the	the	DET
ajst-4785	3	25	spatiotemporal	spatiotemporal	ADJ
ajst-4785	3	26	changes	change	NOUN
ajst-4785	3	27	that	that	PRON
ajst-4785	3	28	humans	human	NOUN
ajst-4785	3	29	can	can	AUX
ajst-4785	3	30	not	not	PART
ajst-4785	3	31	see	see	VERB
ajst-4785	3	32	.	.	PUNCT
ajst-4785	4	1	the	the	DET
ajst-4785	4	2	inversion	inversion	NOUN
ajst-4785	4	3	of	of	ADP
ajst-4785	4	4	pm2.5	pm2.5	PROPN
ajst-4785	4	5	based	base	VERB
ajst-4785	4	6	on	on	ADP
ajst-4785	4	7	remote	remote	ADJ
ajst-4785	4	8	sensing	sense	VERB
ajst-4785	4	9	satellite	satellite	NOUN
ajst-4785	4	10	has	have	VERB
ajst-4785	4	11	wide	wide	ADJ
ajst-4785	4	12	spatial	spatial	ADJ
ajst-4785	4	13	coverage	coverage	NOUN
ajst-4785	4	14	and	and	CCONJ
ajst-4785	4	15	relatively	relatively	ADV
ajst-4785	4	16	high	high	ADJ
ajst-4785	4	17	spatial	spatial	ADJ
ajst-4785	4	18	and	and	CCONJ
ajst-4785	4	19	temporal	temporal	ADJ
ajst-4785	4	20	resolution	resolution	NOUN
ajst-4785	4	21	,	,	PUNCT
ajst-4785	4	22	and	and	CCONJ
ajst-4785	4	23	the	the	DET
ajst-4785	4	24	estimation	estimation	NOUN
ajst-4785	4	25	results	result	NOUN
ajst-4785	4	26	are	be	AUX
ajst-4785	4	27	reliable	reliable	ADJ
ajst-4785	4	28	and	and	CCONJ
ajst-4785	4	29	easy	easy	ADJ
ajst-4785	4	30	to	to	PART
ajst-4785	4	31	obtain	obtain	VERB
ajst-4785	4	32	,	,	PUNCT
ajst-4785	4	33	which	which	PRON
ajst-4785	4	34	can	can	AUX
ajst-4785	4	35	provide	provide	VERB
ajst-4785	4	36	the	the	DET
ajst-4785	4	37	data	datum	NOUN
ajst-4785	4	38	basis	basis	NOUN
ajst-4785	4	39	and	and	CCONJ
ajst-4785	4	40	scientific	scientific	ADJ
ajst-4785	4	41	basis	basis	NOUN
ajst-4785	4	42	for	for	ADP
ajst-4785	4	43	managing	manage	VERB
ajst-4785	4	44	pm2.5	pm2.5	DET
ajst-4785	4	45	pollution	pollution	NOUN
ajst-4785	4	46	.	.	PUNCT
ajst-4785	5	1	this	this	DET
ajst-4785	5	2	paper	paper	NOUN
ajst-4785	5	3	summarizes	summarize	VERB
ajst-4785	5	4	2	2	NUM
ajst-4785	5	5	aspects	aspect	NOUN
ajst-4785	5	6	from	from	ADP
ajst-4785	5	7	remote	remote	ADJ
ajst-4785	5	8	sensing	sense	VERB
ajst-4785	5	9	information	information	NOUN
ajst-4785	5	10	processing	processing	NOUN
ajst-4785	5	11	technology	technology	NOUN
ajst-4785	5	12	and	and	CCONJ
ajst-4785	5	13	pm2.5	pm2.5	PRON
ajst-4785	5	14	concentration	concentration	NOUN
ajst-4785	5	15	estimation	estimation	NOUN
ajst-4785	5	16	model	model	NOUN
ajst-4785	5	17	.	.	PUNCT
ajst-4785	6	1	the	the	DET
ajst-4785	6	2	development	development	NOUN
ajst-4785	6	3	trend	trend	NOUN
ajst-4785	6	4	of	of	ADP
ajst-4785	6	5	current	current	ADJ
ajst-4785	6	6	satellite	satellite	NOUN
ajst-4785	6	7	remote	remote	ADJ
ajst-4785	6	8	sensing	sense	VERB
ajst-4785	6	9	technology	technology	NOUN
ajst-4785	6	10	is	be	AUX
ajst-4785	6	11	analyzed	analyze	VERB
ajst-4785	6	12	from	from	ADP
ajst-4785	6	13	the	the	DET
ajst-4785	6	14	perspective	perspective	NOUN
ajst-4785	6	15	of	of	ADP
ajst-4785	6	16	the	the	DET
ajst-4785	6	17	principle	principle	NOUN
ajst-4785	6	18	and	and	CCONJ
ajst-4785	6	19	development	development	NOUN
ajst-4785	6	20	of	of	ADP
ajst-4785	6	21	satellite	satellite	NOUN
ajst-4785	6	22	remote	remote	ADJ
ajst-4785	6	23	sensing	sense	VERB
ajst-4785	6	24	technology	technology	NOUN
ajst-4785	6	25	,	,	PUNCT
ajst-4785	6	26	and	and	CCONJ
ajst-4785	6	27	the	the	DET
ajst-4785	6	28	basic	basic	ADJ
ajst-4785	6	29	analytical	analytical	ADJ
ajst-4785	6	30	thinking	thinking	NOUN
ajst-4785	6	31	and	and	CCONJ
ajst-4785	6	32	analytical	analytical	ADJ
ajst-4785	6	33	steps	step	NOUN
ajst-4785	6	34	of	of	ADP
ajst-4785	6	35	current	current	ADJ
ajst-4785	6	36	remote	remote	ADJ
ajst-4785	6	37	sensing	sense	VERB
ajst-4785	6	38	information	information	NOUN
ajst-4785	6	39	technology	technology	NOUN
ajst-4785	6	40	processing	processing	NOUN
ajst-4785	6	41	are	be	AUX
ajst-4785	6	42	described	describe	VERB
ajst-4785	6	43	from	from	ADP
ajst-4785	6	44	the	the	DET
ajst-4785	6	45	starting	starting	NOUN
ajst-4785	6	46	point	point	NOUN
ajst-4785	6	47	of	of	ADP
ajst-4785	6	48	remote	remote	ADJ
ajst-4785	6	49	sensing	sense	VERB
ajst-4785	6	50	information	information	NOUN
ajst-4785	6	51	acquisition	acquisition	NOUN
ajst-4785	6	52	and	and	CCONJ
ajst-4785	6	53	processing	processing	NOUN
ajst-4785	6	54	technology	technology	NOUN
ajst-4785	6	55	;	;	PUNCT
ajst-4785	6	56	the	the	DET
ajst-4785	6	57	advantages	advantage	NOUN
ajst-4785	6	58	,	,	PUNCT
ajst-4785	6	59	disadvantages	disadvantage	NOUN
ajst-4785	6	60	and	and	CCONJ
ajst-4785	6	61	adaptability	adaptability	NOUN
ajst-4785	6	62	of	of	ADP
ajst-4785	6	63	different	different	ADJ
ajst-4785	6	64	models	model	NOUN
ajst-4785	6	65	are	be	AUX
ajst-4785	6	66	pointed	point	VERB
ajst-4785	6	67	out	out	ADP
ajst-4785	6	68	through	through	ADP
ajst-4785	6	69	the	the	DET
ajst-4785	6	70	comparative	comparative	ADJ
ajst-4785	6	71	analysis	analysis	NOUN
ajst-4785	6	72	of	of	ADP
ajst-4785	6	73	domestic	domestic	ADJ
ajst-4785	6	74	and	and	CCONJ
ajst-4785	6	75	foreign	foreign	ADJ
ajst-4785	6	76	estimation	estimation	NOUN
ajst-4785	6	77	models	model	NOUN
ajst-4785	6	78	of	of	ADP
ajst-4785	6	79	pm2.5	pm2.5	DET
ajst-4785	6	80	concentration	concentration	NOUN
ajst-4785	6	81	.	.	PUNCT
ajst-4785	7	1	the	the	DET
ajst-4785	7	2	study	study	NOUN
ajst-4785	7	3	shows	show	VERB
ajst-4785	7	4	that	that	SCONJ
ajst-4785	7	5	the	the	DET
ajst-4785	7	6	number	number	NOUN
ajst-4785	7	7	of	of	ADP
ajst-4785	7	8	remote	remote	ADJ
ajst-4785	7	9	sensing	sense	VERB
ajst-4785	7	10	satellites	satellite	NOUN
ajst-4785	7	11	in	in	ADP
ajst-4785	7	12	china	china	PROPN
ajst-4785	7	13	is	be	AUX
ajst-4785	7	14	increasing	increase	VERB
ajst-4785	7	15	year	year	NOUN
ajst-4785	7	16	by	by	ADP
ajst-4785	7	17	year	year	NOUN
ajst-4785	7	18	,	,	PUNCT
ajst-4785	7	19	and	and	CCONJ
ajst-4785	7	20	remote	remote	ADJ
ajst-4785	7	21	sensing	sense	VERB
ajst-4785	7	22	data	datum	NOUN
ajst-4785	7	23	and	and	CCONJ
ajst-4785	7	24	estimation	estimation	NOUN
ajst-4785	7	25	models	model	NOUN
ajst-4785	7	26	are	be	AUX
ajst-4785	7	27	being	be	AUX
ajst-4785	7	28	used	use	VERB
ajst-4785	7	29	effectively	effectively	ADV
ajst-4785	7	30	and	and	CCONJ
ajst-4785	7	31	improved	improve	VERB
ajst-4785	7	32	gradually	gradually	ADV
ajst-4785	7	33	.	.	PUNCT
ajst-4785	8	1	keywords	keyword	NOUN
ajst-4785	8	2	:	:	PUNCT
ajst-4785	8	3	satellite	satellite	NOUN
ajst-4785	8	4	remote	remote	ADJ
ajst-4785	8	5	sensing	sensing	NOUN
ajst-4785	8	6	,	,	PUNCT
ajst-4785	8	7	pm2.5	pm2.5	PRON
ajst-4785	8	8	inversion	inversion	NOUN
ajst-4785	8	9	,	,	PUNCT
ajst-4785	8	10	machine	machine	NOUN
ajst-4785	8	11	learning	learning	NOUN
ajst-4785	8	12	,	,	PUNCT
ajst-4785	8	13	remote	remote	ADJ
ajst-4785	8	14	sensing	sense	VERB
ajst-4785	8	15	applications	application	NOUN
ajst-4785	8	16	.	.	PUNCT
ajst-4785	9	1	1	1	X
ajst-4785	9	2	.	.	X
ajst-4785	9	3	introduction	introduction	NOUN
ajst-4785	9	4	with	with	ADP
ajst-4785	9	5	rapid	rapid	ADJ
ajst-4785	9	6	global	global	ADJ
ajst-4785	9	7	urbanization	urbanization	NOUN
ajst-4785	9	8	and	and	CCONJ
ajst-4785	9	9	industrialization	industrialization	NOUN
ajst-4785	9	10	,	,	PUNCT
ajst-4785	9	11	anthropogenic	anthropogenic	ADJ
ajst-4785	9	12	emissions	emission	NOUN
ajst-4785	9	13	of	of	ADP
ajst-4785	9	14	air	air	NOUN
ajst-4785	9	15	pollutants	pollutant	NOUN
ajst-4785	9	16	remain	remain	VERB
ajst-4785	9	17	high	high	ADJ
ajst-4785	9	18	,	,	PUNCT
ajst-4785	9	19	with	with	ADP
ajst-4785	9	20	pm2.5	pm2.5	PROPN
ajst-4785	9	21	(	(	PUNCT
ajst-4785	9	22	fine	fine	ADJ
ajst-4785	9	23	particles	particle	NOUN
ajst-4785	9	24	≤2.5	≤2.5	CCONJ
ajst-4785	9	25	μm	μm	INTJ
ajst-4785	9	26	in	in	ADP
ajst-4785	9	27	size	size	NOUN
ajst-4785	9	28	)	)	PUNCT
ajst-4785	9	29	becoming	become	VERB
ajst-4785	9	30	one	one	NUM
ajst-4785	9	31	of	of	ADP
ajst-4785	9	32	the	the	DET
ajst-4785	9	33	most	most	ADV
ajst-4785	9	34	serious	serious	ADJ
ajst-4785	9	35	air	air	NOUN
ajst-4785	9	36	pollution	pollution	NOUN
ajst-4785	9	37	pollutants	pollutant	NOUN
ajst-4785	9	38	.	.	PUNCT
ajst-4785	10	1	studies	study	NOUN
ajst-4785	10	2	[	[	X
ajst-4785	10	3	1	1	NUM
ajst-4785	10	4	-	-	SYM
ajst-4785	10	5	3	3	NUM
ajst-4785	10	6	]	]	PUNCT
ajst-4785	10	7	have	have	AUX
ajst-4785	10	8	shown	show	VERB
ajst-4785	10	9	that	that	SCONJ
ajst-4785	10	10	short	short	ADJ
ajst-4785	10	11	-	-	PUNCT
ajst-4785	10	12	term	term	NOUN
ajst-4785	10	13	or	or	CCONJ
ajst-4785	10	14	long	long	ADJ
ajst-4785	10	15	-	-	PUNCT
ajst-4785	10	16	term	term	NOUN
ajst-4785	10	17	exposure	exposure	NOUN
ajst-4785	10	18	to	to	ADP
ajst-4785	10	19	pm2.5	pm2.5	PROPN
ajst-4785	10	20	can	can	AUX
ajst-4785	10	21	have	have	VERB
ajst-4785	10	22	adverse	adverse	ADJ
ajst-4785	10	23	effects	effect	NOUN
ajst-4785	10	24	on	on	ADP
ajst-4785	10	25	human	human	ADJ
ajst-4785	10	26	health	health	NOUN
ajst-4785	10	27	,	,	PUNCT
ajst-4785	10	28	leading	lead	VERB
ajst-4785	10	29	to	to	ADP
ajst-4785	10	30	increased	increase	VERB
ajst-4785	10	31	morbidity	morbidity	NOUN
ajst-4785	10	32	and	and	CCONJ
ajst-4785	10	33	mortality	mortality	NOUN
ajst-4785	10	34	from	from	ADP
ajst-4785	10	35	diseases	disease	NOUN
ajst-4785	10	36	such	such	ADJ
ajst-4785	10	37	as	as	ADP
ajst-4785	10	38	chronic	chronic	ADJ
ajst-4785	10	39	obstructive	obstructive	ADJ
ajst-4785	10	40	pneumonia	pneumonia	NOUN
ajst-4785	10	41	,	,	PUNCT
ajst-4785	10	42	heart	heart	NOUN
ajst-4785	10	43	disease	disease	NOUN
ajst-4785	10	44	,	,	PUNCT
ajst-4785	10	45	and	and	CCONJ
ajst-4785	10	46	cancer	cancer	NOUN
ajst-4785	10	47	.	.	PUNCT
ajst-4785	11	1	relevant	relevant	ADJ
ajst-4785	11	2	data	datum	NOUN
ajst-4785	11	3	from	from	ADP
ajst-4785	11	4	the	the	DET
ajst-4785	11	5	world	world	PROPN
ajst-4785	11	6	health	health	NOUN
ajst-4785	11	7	organization	organization	NOUN
ajst-4785	11	8	(	(	PUNCT
ajst-4785	11	9	who	who	PRON
ajst-4785	11	10	)	)	PUNCT
ajst-4785	12	1	[	[	X
ajst-4785	12	2	4	4	X
ajst-4785	12	3	]	]	PUNCT
ajst-4785	12	4	indicate	indicate	VERB
ajst-4785	12	5	that	that	SCONJ
ajst-4785	12	6	approximately	approximately	ADV
ajst-4785	12	7	4.2	4.2	NUM
ajst-4785	12	8	million	million	NUM
ajst-4785	12	9	and	and	CCONJ
ajst-4785	12	10	7	7	NUM
ajst-4785	12	11	million	million	NUM
ajst-4785	12	12	people	people	NOUN
ajst-4785	12	13	die	die	VERB
ajst-4785	12	14	each	each	DET
ajst-4785	12	15	year	year	NOUN
ajst-4785	12	16	from	from	ADP
ajst-4785	12	17	ambient	ambient	ADJ
ajst-4785	12	18	air	air	NOUN
ajst-4785	12	19	pollution	pollution	NOUN
ajst-4785	12	20	and	and	CCONJ
ajst-4785	12	21	particulate	particulate	NOUN
ajst-4785	12	22	air	air	NOUN
ajst-4785	12	23	pollution	pollution	NOUN
ajst-4785	12	24	.	.	PUNCT
ajst-4785	13	1	in	in	ADP
ajst-4785	13	2	china	china	PROPN
ajst-4785	13	3	,	,	PUNCT
ajst-4785	13	4	especially	especially	ADV
ajst-4785	13	5	in	in	ADP
ajst-4785	13	6	some	some	DET
ajst-4785	13	7	high	high	ADJ
ajst-4785	13	8	population	population	NOUN
ajst-4785	13	9	density	density	NOUN
ajst-4785	13	10	and	and	CCONJ
ajst-4785	13	11	high	high	ADJ
ajst-4785	13	12	pollution	pollution	NOUN
ajst-4785	13	13	areas	area	NOUN
ajst-4785	13	14	(	(	PUNCT
ajst-4785	13	15	e.g.	e.g.	ADV
ajst-4785	13	16	,	,	PUNCT
ajst-4785	13	17	beijing	beijing	PROPN
ajst-4785	13	18	-	-	PUNCT
ajst-4785	13	19	tianjin	tianjin	PROPN
ajst-4785	13	20	-	-	PUNCT
ajst-4785	13	21	hebei	hebei	PROPN
ajst-4785	13	22	region	region	NOUN
ajst-4785	13	23	[	[	X
ajst-4785	13	24	5	5	NUM
ajst-4785	13	25	]	]	PUNCT
ajst-4785	13	26	and	and	CCONJ
ajst-4785	13	27	yangtze	yangtze	PROPN
ajst-4785	13	28	river	river	PROPN
ajst-4785	13	29	delta	delta	PROPN
ajst-4785	13	30	region	region	NOUN
ajst-4785	14	1	[	[	X
ajst-4785	14	2	6	6	NUM
ajst-4785	14	3	-	-	SYM
ajst-4785	14	4	7	7	NUM
ajst-4785	14	5	]	]	NUM
ajst-4785	14	6	)	)	PUNCT
ajst-4785	14	7	,	,	PUNCT
ajst-4785	14	8	pm2.5	pm2.5	DET
ajst-4785	14	9	pollution	pollution	NOUN
ajst-4785	14	10	is	be	AUX
ajst-4785	14	11	one	one	NUM
ajst-4785	14	12	of	of	ADP
ajst-4785	14	13	the	the	DET
ajst-4785	14	14	major	major	ADJ
ajst-4785	14	15	risk	risk	NOUN
ajst-4785	14	16	factors	factor	NOUN
ajst-4785	14	17	for	for	ADP
ajst-4785	14	18	premature	premature	ADJ
ajst-4785	14	19	mortality	mortality	NOUN
ajst-4785	14	20	in	in	ADP
ajst-4785	14	21	the	the	DET
ajst-4785	14	22	population	population	NOUN
ajst-4785	15	1	[	[	X
ajst-4785	15	2	8	8	NUM
ajst-4785	15	3	]	]	PUNCT
ajst-4785	15	4	.	.	PUNCT
ajst-4785	16	1	currently	currently	ADV
ajst-4785	16	2	,	,	PUNCT
ajst-4785	16	3	pm2.5	pm2.5	DET
ajst-4785	16	4	pollution	pollution	NOUN
ajst-4785	16	5	has	have	AUX
ajst-4785	16	6	become	become	VERB
ajst-4785	16	7	a	a	DET
ajst-4785	16	8	focal	focal	ADJ
ajst-4785	16	9	point	point	NOUN
ajst-4785	16	10	of	of	ADP
ajst-4785	16	11	concern	concern	NOUN
ajst-4785	16	12	for	for	ADP
ajst-4785	16	13	the	the	DET
ajst-4785	16	14	public	public	NOUN
ajst-4785	16	15	,	,	PUNCT
ajst-4785	16	16	researchers	researcher	NOUN
ajst-4785	16	17	and	and	CCONJ
ajst-4785	16	18	policy	policy	NOUN
ajst-4785	16	19	makers	maker	NOUN
ajst-4785	16	20	.	.	PUNCT
ajst-4785	17	1	2	2	X
ajst-4785	17	2	.	.	X
ajst-4785	17	3	satellite	satellite	NOUN
ajst-4785	17	4	remote	remote	ADJ
ajst-4785	17	5	sensing	sense	VERB
ajst-4785	17	6	technology	technology	NOUN
ajst-4785	17	7	satellite	satellite	NOUN
ajst-4785	17	8	remote	remote	ADJ
ajst-4785	17	9	sensing	sensing	NOUN
ajst-4785	17	10	is	be	AUX
ajst-4785	17	11	an	an	DET
ajst-4785	17	12	important	important	ADJ
ajst-4785	17	13	technical	technical	ADJ
ajst-4785	17	14	means	mean	NOUN
ajst-4785	17	15	to	to	PART
ajst-4785	17	16	collect	collect	VERB
ajst-4785	17	17	data	datum	NOUN
ajst-4785	17	18	information	information	NOUN
ajst-4785	17	19	of	of	ADP
ajst-4785	17	20	the	the	DET
ajst-4785	17	21	earth	earth	NOUN
ajst-4785	17	22	,	,	PUNCT
ajst-4785	17	23	which	which	PRON
ajst-4785	17	24	has	have	VERB
ajst-4785	17	25	many	many	ADJ
ajst-4785	17	26	characteristics	characteristic	NOUN
ajst-4785	17	27	such	such	ADJ
ajst-4785	17	28	as	as	ADP
ajst-4785	17	29	no	no	DET
ajst-4785	17	30	national	national	ADJ
ajst-4785	17	31	boundary	boundary	ADJ
ajst-4785	17	32	limitation	limitation	NOUN
ajst-4785	17	33	,	,	PUNCT
ajst-4785	17	34	wide	wide	ADJ
ajst-4785	17	35	coverage	coverage	NOUN
ajst-4785	17	36	area	area	NOUN
ajst-4785	17	37	,	,	PUNCT
ajst-4785	17	38	periodicity	periodicity	NOUN
ajst-4785	17	39	of	of	ADP
ajst-4785	17	40	observation	observation	NOUN
ajst-4785	17	41	,	,	PUNCT
ajst-4785	17	42	and	and	CCONJ
ajst-4785	17	43	objective	objective	ADJ
ajst-4785	17	44	data	datum	NOUN
ajst-4785	17	45	[	[	X
ajst-4785	17	46	9	9	NUM
ajst-4785	17	47	]	]	PUNCT
ajst-4785	17	48	.	.	PUNCT
ajst-4785	18	1	it	it	PRON
ajst-4785	18	2	can	can	AUX
ajst-4785	18	3	see	see	VERB
ajst-4785	18	4	the	the	DET
ajst-4785	18	5	breadth	breadth	NOUN
ajst-4785	18	6	and	and	CCONJ
ajst-4785	18	7	fineness	fineness	NOUN
ajst-4785	18	8	that	that	SCONJ
ajst-4785	18	9	humans	human	NOUN
ajst-4785	18	10	can	can	AUX
ajst-4785	18	11	not	not	PART
ajst-4785	18	12	see	see	VERB
ajst-4785	18	13	,	,	PUNCT
ajst-4785	18	14	and	and	CCONJ
ajst-4785	18	15	can	can	AUX
ajst-4785	18	16	see	see	VERB
ajst-4785	18	17	the	the	DET
ajst-4785	18	18	spatial	spatial	ADJ
ajst-4785	18	19	and	and	CCONJ
ajst-4785	18	20	temporal	temporal	ADJ
ajst-4785	18	21	changes	change	NOUN
ajst-4785	18	22	that	that	PRON
ajst-4785	18	23	humans	human	NOUN
ajst-4785	18	24	can	can	AUX
ajst-4785	18	25	not	not	PART
ajst-4785	18	26	see	see	VERB
ajst-4785	18	27	.	.	PUNCT
ajst-4785	19	1	according	accord	VERB
ajst-4785	19	2	to	to	ADP
ajst-4785	19	3	the	the	DET
ajst-4785	19	4	field	field	NOUN
ajst-4785	19	5	of	of	ADP
ajst-4785	19	6	earth	earth	NOUN
ajst-4785	19	7	observation	observation	NOUN
ajst-4785	19	8	,	,	PUNCT
ajst-4785	19	9	it	it	PRON
ajst-4785	19	10	is	be	AUX
ajst-4785	19	11	mainly	mainly	ADV
ajst-4785	19	12	divided	divide	VERB
ajst-4785	19	13	into	into	ADP
ajst-4785	19	14	three	three	NUM
ajst-4785	19	15	major	major	ADJ
ajst-4785	19	16	types	type	NOUN
ajst-4785	19	17	of	of	ADP
ajst-4785	19	18	land	land	NOUN
ajst-4785	19	19	satellites	satellite	NOUN
ajst-4785	19	20	,	,	PUNCT
ajst-4785	19	21	ocean	ocean	NOUN
ajst-4785	19	22	satellites	satellite	NOUN
ajst-4785	19	23	and	and	CCONJ
ajst-4785	19	24	meteorological	meteorological	ADJ
ajst-4785	19	25	satellites	satellite	NOUN
ajst-4785	19	26	.	.	PUNCT
ajst-4785	20	1	from	from	ADP
ajst-4785	20	2	the	the	DET
ajst-4785	20	3	stages	stage	NOUN
ajst-4785	20	4	of	of	ADP
ajst-4785	20	5	development	development	NOUN
ajst-4785	20	6	of	of	ADP
ajst-4785	20	7	remote	remote	ADJ
ajst-4785	20	8	sensing	sense	VERB
ajst-4785	20	9	technology	technology	NOUN
ajst-4785	20	10	,	,	PUNCT
ajst-4785	20	11	we	we	PRON
ajst-4785	20	12	can	can	AUX
ajst-4785	20	13	find	find	VERB
ajst-4785	20	14	a	a	DET
ajst-4785	20	15	common	common	ADJ
ajst-4785	20	16	feature	feature	NOUN
ajst-4785	20	17	is	be	AUX
ajst-4785	20	18	non	non	ADJ
ajst-4785	20	19	-	-	ADJ
ajst-4785	20	20	contact	contact	ADJ
ajst-4785	20	21	remote	remote	ADJ
ajst-4785	20	22	observation	observation	NOUN
ajst-4785	20	23	.	.	PUNCT
ajst-4785	21	1	therefore	therefore	ADV
ajst-4785	21	2	,	,	PUNCT
ajst-4785	21	3	we	we	PRON
ajst-4785	21	4	also	also	ADV
ajst-4785	21	5	often	often	ADV
ajst-4785	21	6	define	define	VERB
ajst-4785	21	7	remote	remote	ADJ
ajst-4785	21	8	sensing	sensing	NOUN
ajst-4785	21	9	as	as	ADP
ajst-4785	21	10	remote	remote	ADJ
ajst-4785	21	11	sensing	sensing	NOUN
ajst-4785	21	12	,	,	PUNCT
ajst-4785	21	13	which	which	PRON
ajst-4785	21	14	is	be	AUX
ajst-4785	21	15	a	a	DET
ajst-4785	21	16	general	general	ADJ
ajst-4785	21	17	reference	reference	NOUN
ajst-4785	21	18	to	to	ADP
ajst-4785	21	19	all	all	DET
ajst-4785	21	20	non	non	ADJ
ajst-4785	21	21	-	-	NOUN
ajst-4785	21	22	contact	contact	ADJ
ajst-4785	21	23	,	,	PUNCT
ajst-4785	21	24	long	long	ADJ
ajst-4785	21	25	-	-	PUNCT
ajst-4785	21	26	distance	distance	NOUN
ajst-4785	21	27	detection	detection	NOUN
ajst-4785	21	28	.	.	PUNCT
ajst-4785	22	1	at	at	ADP
ajst-4785	22	2	present	present	ADJ
ajst-4785	22	3	,	,	PUNCT
ajst-4785	22	4	the	the	DET
ajst-4785	22	5	remote	remote	ADJ
ajst-4785	22	6	sensing	sensing	NOUN
ajst-4785	22	7	technology	technology	NOUN
ajst-4785	22	8	we	we	PRON
ajst-4785	22	9	are	be	AUX
ajst-4785	22	10	talking	talk	VERB
ajst-4785	22	11	about	about	ADP
ajst-4785	22	12	mainly	mainly	ADV
ajst-4785	22	13	refers	refer	VERB
ajst-4785	22	14	to	to	ADP
ajst-4785	22	15	the	the	DET
ajst-4785	22	16	application	application	NOUN
ajst-4785	22	17	of	of	ADP
ajst-4785	22	18	detection	detection	NOUN
ajst-4785	22	19	instruments	instrument	NOUN
ajst-4785	22	20	to	to	PART
ajst-4785	22	21	detect	detect	VERB
ajst-4785	22	22	,	,	PUNCT
ajst-4785	22	23	without	without	ADP
ajst-4785	22	24	contact	contact	NOUN
ajst-4785	22	25	with	with	ADP
ajst-4785	22	26	the	the	DET
ajst-4785	22	27	detection	detection	NOUN
ajst-4785	22	28	target	target	NOUN
ajst-4785	22	29	,	,	PUNCT
ajst-4785	22	30	the	the	DET
ajst-4785	22	31	electromagnetic	electromagnetic	ADJ
ajst-4785	22	32	wave	wave	NOUN
ajst-4785	22	33	characteristics	characteristic	NOUN
ajst-4785	22	34	of	of	ADP
ajst-4785	22	35	the	the	DET
ajst-4785	22	36	target	target	NOUN
ajst-4785	22	37	from	from	ADP
ajst-4785	22	38	a	a	DET
ajst-4785	22	39	distance	distance	NOUN
ajst-4785	22	40	to	to	PART
ajst-4785	22	41	record	record	VERB
ajst-4785	22	42	,	,	PUNCT
ajst-4785	22	43	through	through	ADP
ajst-4785	22	44	analysis	analysis	NOUN
ajst-4785	22	45	,	,	PUNCT
ajst-4785	22	46	to	to	PART
ajst-4785	22	47	reveal	reveal	VERB
ajst-4785	22	48	the	the	DET
ajst-4785	22	49	characteristics	characteristic	NOUN
ajst-4785	22	50	of	of	ADP
ajst-4785	22	51	the	the	DET
ajst-4785	22	52	object	object	NOUN
ajst-4785	22	53	properties	property	NOUN
ajst-4785	22	54	and	and	CCONJ
ajst-4785	22	55	its	its	PRON
ajst-4785	22	56	changes	change	NOUN
ajst-4785	22	57	in	in	ADP
ajst-4785	22	58	a	a	DET
ajst-4785	22	59	space	space	NOUN
ajst-4785	22	60	detection	detection	NOUN
ajst-4785	22	61	technology	technology	NOUN
ajst-4785	22	62	.	.	PUNCT
ajst-4785	23	1	satellite	satellite	NOUN
ajst-4785	23	2	remote	remote	ADJ
ajst-4785	23	3	sensing	sensing	NOUN
ajst-4785	23	4	takes	take	VERB
ajst-4785	23	5	artificial	artificial	ADJ
ajst-4785	23	6	earth	earth	NOUN
ajst-4785	23	7	satellite	satellite	NOUN
ajst-4785	23	8	as	as	ADP
ajst-4785	23	9	the	the	DET
ajst-4785	23	10	remote	remote	ADJ
ajst-4785	23	11	sensing	sense	VERB
ajst-4785	23	12	platform	platform	NOUN
ajst-4785	23	13	,	,	PUNCT
ajst-4785	23	14	mainly	mainly	ADV
ajst-4785	23	15	using	use	VERB
ajst-4785	23	16	radio	radio	NOUN
ajst-4785	23	17	and	and	CCONJ
ajst-4785	23	18	radar	radar	NOUN
ajst-4785	23	19	and	and	CCONJ
ajst-4785	23	20	other	other	ADJ
ajst-4785	23	21	technical	technical	ADJ
ajst-4785	23	22	means	mean	NOUN
ajst-4785	23	23	to	to	PART
ajst-4785	23	24	observe	observe	VERB
ajst-4785	23	25	and	and	CCONJ
ajst-4785	23	26	sense	sense	VERB
ajst-4785	23	27	the	the	DET
ajst-4785	23	28	surface	surface	NOUN
ajst-4785	23	29	target	target	NOUN
ajst-4785	23	30	directly	directly	ADV
ajst-4785	23	31	from	from	ADP
ajst-4785	23	32	space	space	NOUN
ajst-4785	23	33	.	.	PUNCT
ajst-4785	24	1	at	at	ADP
ajst-4785	24	2	present	present	ADJ
ajst-4785	24	3	,	,	PUNCT
ajst-4785	24	4	satellite	satellite	NOUN
ajst-4785	24	5	remote	remote	ADJ
ajst-4785	24	6	sensing	sense	VERB
ajst-4785	24	7	technology	technology	NOUN
ajst-4785	24	8	has	have	AUX
ajst-4785	24	9	been	be	AUX
ajst-4785	24	10	widely	widely	ADV
ajst-4785	24	11	used	use	VERB
ajst-4785	24	12	in	in	ADP
ajst-4785	24	13	various	various	ADJ
ajst-4785	24	14	fields	field	NOUN
ajst-4785	24	15	such	such	ADJ
ajst-4785	24	16	as	as	ADP
ajst-4785	24	17	agriculture	agriculture	NOUN
ajst-4785	24	18	,	,	PUNCT
ajst-4785	24	19	forestry	forestry	NOUN
ajst-4785	24	20	,	,	PUNCT
ajst-4785	24	21	geology	geology	NOUN
ajst-4785	24	22	,	,	PUNCT
ajst-4785	24	23	ocean	ocean	NOUN
ajst-4785	24	24	,	,	PUNCT
ajst-4785	24	25	military	military	ADJ
ajst-4785	24	26	and	and	CCONJ
ajst-4785	24	27	environmental	environmental	ADJ
ajst-4785	24	28	protection	protection	NOUN
ajst-4785	24	29	.	.	PUNCT
ajst-4785	25	1	through	through	ADP
ajst-4785	25	2	the	the	DET
ajst-4785	25	3	observation	observation	NOUN
ajst-4785	25	4	of	of	ADP
ajst-4785	25	5	remote	remote	ADJ
ajst-4785	25	6	sensing	sense	VERB
ajst-4785	25	7	satellites	satellite	NOUN
ajst-4785	25	8	,	,	PUNCT
ajst-4785	25	9	it	it	PRON
ajst-4785	25	10	can	can	AUX
ajst-4785	25	11	obtain	obtain	VERB
ajst-4785	25	12	a	a	DET
ajst-4785	25	13	large	large	ADJ
ajst-4785	25	14	range	range	NOUN
ajst-4785	25	15	of	of	ADP
ajst-4785	25	16	data	datum	NOUN
ajst-4785	25	17	image	image	NOUN
ajst-4785	25	18	information	information	NOUN
ajst-4785	25	19	,	,	PUNCT
ajst-4785	25	20	and	and	CCONJ
ajst-4785	25	21	its	its	PRON
ajst-4785	25	22	speed	speed	NOUN
ajst-4785	25	23	of	of	ADP
ajst-4785	25	24	information	information	NOUN
ajst-4785	25	25	acquisition	acquisition	NOUN
ajst-4785	25	26	and	and	CCONJ
ajst-4785	25	27	short	short	ADJ
ajst-4785	25	28	cycle	cycle	NOUN
ajst-4785	25	29	time	time	NOUN
ajst-4785	25	30	are	be	AUX
ajst-4785	25	31	incomparable	incomparable	ADJ
ajst-4785	25	32	to	to	ADP
ajst-4785	25	33	manual	manual	ADJ
ajst-4785	25	34	field	field	NOUN
ajst-4785	25	35	measurement	measurement	NOUN
ajst-4785	25	36	and	and	CCONJ
ajst-4785	25	37	aerial	aerial	ADJ
ajst-4785	25	38	photogrammetry	photogrammetry	NOUN
ajst-4785	25	39	.	.	PUNCT
ajst-4785	26	1	moreover	moreover	ADV
ajst-4785	26	2	,	,	PUNCT
ajst-4785	26	3	the	the	DET
ajst-4785	26	4	access	access	NOUN
ajst-4785	26	5	to	to	ADP
ajst-4785	26	6	information	information	NOUN
ajst-4785	26	7	is	be	AUX
ajst-4785	26	8	less	less	ADV
ajst-4785	26	9	restricted	restrict	VERB
ajst-4785	26	10	by	by	ADP
ajst-4785	26	11	conditions	condition	NOUN
ajst-4785	26	12	.	.	PUNCT
ajst-4785	27	1	in	in	ADP
ajst-4785	27	2	deserts	desert	NOUN
ajst-4785	27	3	,	,	PUNCT
ajst-4785	27	4	swamps	swamp	NOUN
ajst-4785	27	5	,	,	PUNCT
ajst-4785	27	6	high	high	ADJ
ajst-4785	27	7	mountains	mountain	NOUN
ajst-4785	27	8	,	,	PUNCT
ajst-4785	27	9	and	and	CCONJ
ajst-4785	27	10	water	water	NOUN
ajst-4785	27	11	bodies	body	NOUN
ajst-4785	27	12	under	under	ADP
ajst-4785	27	13	the	the	DET
ajst-4785	27	14	ice	ice	NOUN
ajst-4785	27	15	layer	layer	NOUN
ajst-4785	27	16	,	,	PUNCT
ajst-4785	27	17	which	which	PRON
ajst-4785	27	18	are	be	AUX
ajst-4785	27	19	difficult	difficult	ADJ
ajst-4785	27	20	to	to	PART
ajst-4785	27	21	be	be	AUX
ajst-4785	27	22	reached	reach	VERB
ajst-4785	27	23	by	by	ADP
ajst-4785	27	24	human	human	ADJ
ajst-4785	27	25	beings	being	NOUN
ajst-4785	27	26	,	,	PUNCT
ajst-4785	27	27	various	various	ADJ
ajst-4785	27	28	valuable	valuable	ADJ
ajst-4785	27	29	information	information	NOUN
ajst-4785	27	30	can	can	AUX
ajst-4785	27	31	be	be	AUX
ajst-4785	27	32	obtained	obtain	VERB
ajst-4785	27	33	timely	timely	ADV
ajst-4785	27	34	through	through	ADP
ajst-4785	27	35	remote	remote	ADJ
ajst-4785	27	36	sensing	sense	VERB
ajst-4785	27	37	satellites	satellite	NOUN
ajst-4785	27	38	.	.	PUNCT
ajst-4785	28	1	fewer	few	ADJ
ajst-4785	28	2	foreign	foreign	ADJ
ajst-4785	28	3	remote	remote	ADJ
ajst-4785	28	4	sensing	sense	VERB
ajst-4785	28	5	satellites	satellite	NOUN
ajst-4785	28	6	will	will	AUX
ajst-4785	28	7	be	be	AUX
ajst-4785	28	8	launched	launch	VERB
ajst-4785	28	9	in	in	ADP
ajst-4785	28	10	2020	2020	NUM
ajst-4785	28	11	,	,	PUNCT
ajst-4785	28	12	and	and	CCONJ
ajst-4785	28	13	the	the	DET
ajst-4785	28	14	total	total	ADJ
ajst-4785	28	15	number	number	NOUN
ajst-4785	28	16	of	of	ADP
ajst-4785	28	17	launches	launch	NOUN
ajst-4785	28	18	of	of	ADP
ajst-4785	28	19	other	other	ADJ
ajst-4785	28	20	countries	country	NOUN
ajst-4785	28	21	is	be	AUX
ajst-4785	28	22	about	about	ADV
ajst-4785	28	23	one	one	NUM
ajst-4785	28	24	-	-	PUNCT
ajst-4785	28	25	half	half	NOUN
ajst-4785	28	26	of	of	ADP
ajst-4785	28	27	china	china	PROPN
ajst-4785	28	28	's	's	PART
ajst-4785	28	29	launches	launch	NOUN
ajst-4785	28	30	(	(	PUNCT
ajst-4785	28	31	13/27	13/27	NUM
ajst-4785	28	32	)	)	PUNCT
ajst-4785	28	33	.	.	PUNCT
ajst-4785	29	1	164	164	NUM
ajst-4785	29	2	global	global	ADJ
ajst-4785	29	3	remote	remote	ADJ
ajst-4785	29	4	sensing	sense	VERB
ajst-4785	29	5	satellites	satellite	NOUN
ajst-4785	29	6	were	be	AUX
ajst-4785	29	7	launched	launch	VERB
ajst-4785	29	8	in	in	ADP
ajst-4785	29	9	2018	2018	NUM
ajst-4785	29	10	,	,	PUNCT
ajst-4785	29	11	82	82	NUM
ajst-4785	29	12	in	in	ADP
ajst-4785	29	13	2019	2019	NUM
ajst-4785	29	14	,	,	PUNCT
ajst-4785	29	15	and	and	CCONJ
ajst-4785	29	16	40	40	NUM
ajst-4785	29	17	in	in	ADP
ajst-4785	29	18	2020	2020	NUM
ajst-4785	29	19	so	so	ADV
ajst-4785	29	20	far	far	ADV
ajst-4785	29	21	,	,	PUNCT
ajst-4785	29	22	and	and	CCONJ
ajst-4785	29	23	the	the	DET
ajst-4785	29	24	number	number	NOUN
ajst-4785	29	25	of	of	ADP
ajst-4785	29	26	global	global	ADJ
ajst-4785	29	27	remote	remote	ADJ
ajst-4785	29	28	sensing	sense	VERB
ajst-4785	29	29	satellite	satellite	NOUN
ajst-4785	29	30	launches	launch	NOUN
ajst-4785	29	31	has	have	AUX
ajst-4785	29	32	declined	decline	VERB
ajst-4785	29	33	in	in	ADP
ajst-4785	29	34	the	the	DET
ajst-4785	29	35	past	past	ADJ
ajst-4785	29	36	three	three	NUM
ajst-4785	29	37	years	year	NOUN
ajst-4785	29	38	.	.	PUNCT
ajst-4785	30	1	combined	combine	VERB
ajst-4785	30	2	with	with	ADP
ajst-4785	30	3	the	the	DET
ajst-4785	30	4	china	china	PROPN
ajst-4785	30	5	remote	remote	ADJ
ajst-4785	30	6	sensing	sense	VERB
ajst-4785	30	7	industry	industry	NOUN
ajst-4785	30	8	market	market	NOUN
ajst-4785	30	9	foresight	foresight	NOUN
ajst-4785	30	10	and	and	CCONJ
ajst-4785	30	11	investment	investment	NOUN
ajst-4785	30	12	strategic	strategic	ADJ
ajst-4785	30	13	planning	planning	NOUN
ajst-4785	30	14	analysis	analysis	NOUN
ajst-4785	30	15	report	report	NOUN
ajst-4785	30	16	[	[	X
ajst-4785	30	17	10	10	NUM
ajst-4785	30	18	]	]	PUNCT
ajst-4785	30	19	,	,	PUNCT
ajst-4785	30	20	there	there	PRON
ajst-4785	30	21	are	be	VERB
ajst-4785	30	22	three	three	NUM
ajst-4785	30	23	overall	overall	ADJ
ajst-4785	30	24	trends	trend	NOUN
ajst-4785	30	25	:	:	PUNCT
ajst-4785	30	26	1	1	X
ajst-4785	30	27	)	)	PUNCT
ajst-4785	30	28	optical	optical	ADJ
ajst-4785	30	29	imaging	imaging	NOUN
ajst-4785	30	30	satellites	satellite	NOUN
ajst-4785	30	31	account	account	VERB
ajst-4785	30	32	for	for	ADP
ajst-4785	30	33	more	more	ADJ
ajst-4785	30	34	than	than	ADP
ajst-4785	30	35	half	half	NOUN
ajst-4785	30	36	of	of	ADP
ajst-4785	30	37	the	the	DET
ajst-4785	30	38	total	total	NOUN
ajst-4785	30	39	;	;	PUNCT
ajst-4785	30	40	2	2	X
ajst-4785	30	41	)	)	PUNCT
ajst-4785	30	42	near	near	ADP
ajst-4785	30	43	-	-	PUNCT
ajst-4785	30	44	earth	earth	NOUN
ajst-4785	30	45	orbit	orbit	NOUN
ajst-4785	30	46	satellites	satellite	NOUN
ajst-4785	30	47	account	account	VERB
ajst-4785	30	48	for	for	ADP
ajst-4785	30	49	the	the	DET
ajst-4785	30	50	vast	vast	ADJ
ajst-4785	30	51	majority	majority	NOUN
ajst-4785	30	52	;	;	PUNCT
ajst-4785	30	53	and	and	CCONJ
ajst-4785	30	54	3	3	X
ajst-4785	30	55	)	)	PUNCT
ajst-4785	30	56	the	the	DET
ajst-4785	30	57	number	number	NOUN
ajst-4785	30	58	of	of	ADP
ajst-4785	30	59	commercial	commercial	ADJ
ajst-4785	30	60	remote	remote	ADJ
ajst-4785	30	61	sensing	sense	VERB
ajst-4785	30	62	satellites	satellite	NOUN
ajst-4785	30	63	accounts	account	VERB
ajst-4785	30	64	for	for	ADP
ajst-4785	30	65	a	a	DET
ajst-4785	30	66	rising	rise	VERB
ajst-4785	30	67	proportion	proportion	NOUN
ajst-4785	30	68	.	.	PUNCT
ajst-4785	31	1	52	52	NUM
ajst-4785	31	2	today	today	NOUN
ajst-4785	31	3	,	,	PUNCT
ajst-4785	31	4	china	china	PROPN
ajst-4785	31	5	's	's	PART
ajst-4785	31	6	satellite	satellite	NOUN
ajst-4785	31	7	development	development	NOUN
ajst-4785	31	8	has	have	AUX
ajst-4785	31	9	now	now	ADV
ajst-4785	31	10	gone	go	VERB
ajst-4785	31	11	through	through	ADP
ajst-4785	31	12	more	more	ADJ
ajst-4785	31	13	than	than	ADP
ajst-4785	31	14	40	40	NUM
ajst-4785	31	15	years	year	NOUN
ajst-4785	31	16	,	,	PUNCT
ajst-4785	31	17	and	and	CCONJ
ajst-4785	31	18	the	the	DET
ajst-4785	31	19	number	number	NOUN
ajst-4785	31	20	of	of	ADP
ajst-4785	31	21	remote	remote	ADJ
ajst-4785	31	22	sensing	sense	VERB
ajst-4785	31	23	satellites	satellite	NOUN
ajst-4785	31	24	is	be	AUX
ajst-4785	31	25	increasing	increase	VERB
ajst-4785	31	26	,	,	PUNCT
ajst-4785	31	27	showing	show	VERB
ajst-4785	31	28	the	the	DET
ajst-4785	31	29	"	"	PUNCT
ajst-4785	31	30	three	three	NUM
ajst-4785	31	31	high	high	ADJ
ajst-4785	31	32	"	"	PUNCT
ajst-4785	31	33	characteristics	characteristic	NOUN
ajst-4785	31	34	of	of	ADP
ajst-4785	31	35	high	high	ADJ
ajst-4785	31	36	spatial	spatial	ADJ
ajst-4785	31	37	resolution	resolution	NOUN
ajst-4785	31	38	,	,	PUNCT
ajst-4785	31	39	high	high	ADJ
ajst-4785	31	40	spectral	spectral	ADJ
ajst-4785	31	41	resolution	resolution	NOUN
ajst-4785	31	42	and	and	CCONJ
ajst-4785	31	43	high	high	ADJ
ajst-4785	31	44	temporal	temporal	ADJ
ajst-4785	31	45	resolution	resolution	NOUN
ajst-4785	31	46	.	.	PUNCT
ajst-4785	32	1	and	and	CCONJ
ajst-4785	32	2	it	it	PRON
ajst-4785	32	3	is	be	AUX
ajst-4785	32	4	also	also	ADV
ajst-4785	32	5	widely	widely	ADV
ajst-4785	32	6	used	use	VERB
ajst-4785	32	7	in	in	ADP
ajst-4785	32	8	environmental	environmental	ADJ
ajst-4785	32	9	protection	protection	NOUN
ajst-4785	32	10	,	,	PUNCT
ajst-4785	32	11	monitoring	monitoring	NOUN
ajst-4785	32	12	,	,	PUNCT
ajst-4785	32	13	land	land	NOUN
ajst-4785	32	14	,	,	PUNCT
ajst-4785	32	15	planning	planning	NOUN
ajst-4785	32	16	and	and	CCONJ
ajst-4785	32	17	other	other	ADJ
ajst-4785	32	18	industries	industry	NOUN
ajst-4785	32	19	.	.	PUNCT
ajst-4785	33	1	3	3	X
ajst-4785	33	2	.	.	X
ajst-4785	33	3	remote	remote	ADJ
ajst-4785	33	4	sensing	sense	VERB
ajst-4785	33	5	data	datum	NOUN
ajst-4785	33	6	processing	processing	NOUN
ajst-4785	33	7	and	and	CCONJ
ajst-4785	33	8	information	information	NOUN
ajst-4785	33	9	extraction	extraction	NOUN
ajst-4785	33	10	techniques	technique	NOUN
ajst-4785	33	11	remote	remote	ADJ
ajst-4785	33	12	sensing	sense	VERB
ajst-4785	33	13	data	datum	NOUN
ajst-4785	33	14	acquisition	acquisition	NOUN
ajst-4785	33	15	and	and	CCONJ
ajst-4785	33	16	distribution	distribution	NOUN
ajst-4785	33	17	,	,	PUNCT
ajst-4785	33	18	data	datum	NOUN
ajst-4785	33	19	processing	processing	NOUN
ajst-4785	33	20	and	and	CCONJ
ajst-4785	33	21	information	information	NOUN
ajst-4785	33	22	extraction	extraction	NOUN
ajst-4785	33	23	are	be	AUX
ajst-4785	33	24	the	the	DET
ajst-4785	33	25	two	two	NUM
ajst-4785	33	26	basic	basic	ADJ
ajst-4785	33	27	steps	step	NOUN
ajst-4785	33	28	of	of	ADP
ajst-4785	33	29	satellite	satellite	NOUN
ajst-4785	33	30	remote	remote	ADJ
ajst-4785	33	31	sensing	sense	VERB
ajst-4785	33	32	application	application	NOUN
ajst-4785	33	33	.	.	PUNCT
ajst-4785	34	1	thanks	thank	NOUN
ajst-4785	34	2	to	to	ADP
ajst-4785	34	3	the	the	DET
ajst-4785	34	4	overall	overall	ADJ
ajst-4785	34	5	progress	progress	NOUN
ajst-4785	34	6	of	of	ADP
ajst-4785	34	7	china	china	PROPN
ajst-4785	34	8	's	's	PART
ajst-4785	34	9	satellite	satellite	NOUN
ajst-4785	34	10	remote	remote	ADJ
ajst-4785	34	11	sensing	sense	VERB
ajst-4785	34	12	technology	technology	NOUN
ajst-4785	34	13	and	and	CCONJ
ajst-4785	34	14	the	the	DET
ajst-4785	34	15	drive	drive	NOUN
ajst-4785	34	16	of	of	ADP
ajst-4785	34	17	open	open	ADJ
ajst-4785	34	18	source	source	NOUN
ajst-4785	34	19	thinking	thinking	NOUN
ajst-4785	34	20	,	,	PUNCT
ajst-4785	34	21	china	china	PROPN
ajst-4785	34	22	has	have	AUX
ajst-4785	34	23	made	make	VERB
ajst-4785	34	24	great	great	ADJ
ajst-4785	34	25	progress	progress	NOUN
ajst-4785	34	26	in	in	ADP
ajst-4785	34	27	remote	remote	ADJ
ajst-4785	34	28	sensing	sense	VERB
ajst-4785	34	29	data	datum	NOUN
ajst-4785	34	30	processing	processing	NOUN
ajst-4785	34	31	and	and	CCONJ
ajst-4785	34	32	information	information	NOUN
ajst-4785	34	33	extraction	extraction	NOUN
ajst-4785	34	34	technology	technology	NOUN
ajst-4785	34	35	,	,	PUNCT
ajst-4785	34	36	and	and	CCONJ
ajst-4785	34	37	the	the	DET
ajst-4785	34	38	technical	technical	ADJ
ajst-4785	34	39	capability	capability	NOUN
ajst-4785	34	40	is	be	AUX
ajst-4785	34	41	changing	change	VERB
ajst-4785	34	42	from	from	ADP
ajst-4785	34	43	catching	catch	VERB
ajst-4785	34	44	up	up	ADP
ajst-4785	34	45	with	with	ADP
ajst-4785	34	46	the	the	DET
ajst-4785	34	47	world	world	NOUN
ajst-4785	34	48	's	's	PART
ajst-4785	34	49	advanced	advanced	ADJ
ajst-4785	34	50	technology	technology	NOUN
ajst-4785	34	51	mainly	mainly	ADV
ajst-4785	34	52	to	to	ADP
ajst-4785	34	53	independent	independent	ADJ
ajst-4785	34	54	innovation	innovation	NOUN
ajst-4785	34	55	mainly	mainly	ADV
ajst-4785	34	56	.	.	PUNCT
ajst-4785	35	1	3.1	3.1	NUM
ajst-4785	35	2	.	.	PUNCT
ajst-4785	35	3	quantification	quantification	NOUN
ajst-4785	35	4	of	of	ADP
ajst-4785	35	5	remote	remote	ADJ
ajst-4785	35	6	sensing	sense	VERB
ajst-4785	35	7	data	datum	NOUN
ajst-4785	35	8	from	from	ADP
ajst-4785	35	9	the	the	DET
ajst-4785	35	10	perspective	perspective	NOUN
ajst-4785	35	11	of	of	ADP
ajst-4785	35	12	quantification	quantification	NOUN
ajst-4785	35	13	of	of	ADP
ajst-4785	35	14	remote	remote	ADJ
ajst-4785	35	15	sensing	sense	VERB
ajst-4785	35	16	data	datum	NOUN
ajst-4785	35	17	,	,	PUNCT
ajst-4785	35	18	the	the	DET
ajst-4785	35	19	remote	remote	ADJ
ajst-4785	35	20	sensing	sense	VERB
ajst-4785	35	21	data	datum	NOUN
ajst-4785	35	22	currently	currently	ADV
ajst-4785	35	23	released	release	VERB
ajst-4785	35	24	in	in	ADP
ajst-4785	35	25	china	china	PROPN
ajst-4785	35	26	are	be	AUX
ajst-4785	35	27	mainly	mainly	ADV
ajst-4785	35	28	level	level	NOUN
ajst-4785	35	29	1	1	NUM
ajst-4785	35	30	relative	relative	ADJ
ajst-4785	35	31	radiation	radiation	NOUN
ajst-4785	35	32	correction	correction	NOUN
ajst-4785	35	33	products	product	NOUN
ajst-4785	35	34	,	,	PUNCT
ajst-4785	35	35	which	which	PRON
ajst-4785	35	36	require	require	VERB
ajst-4785	35	37	users	user	NOUN
ajst-4785	35	38	to	to	PART
ajst-4785	35	39	produce	produce	VERB
ajst-4785	35	40	their	their	PRON
ajst-4785	35	41	own	own	ADJ
ajst-4785	35	42	standard	standard	ADJ
ajst-4785	35	43	products	product	NOUN
ajst-4785	35	44	,	,	PUNCT
ajst-4785	35	45	making	make	VERB
ajst-4785	35	46	differences	difference	NOUN
ajst-4785	35	47	in	in	ADP
ajst-4785	35	48	quantitative	quantitative	ADJ
ajst-4785	35	49	parameters	parameter	NOUN
ajst-4785	35	50	such	such	ADJ
ajst-4785	35	51	as	as	ADP
ajst-4785	35	52	reflectance	reflectance	NOUN
ajst-4785	35	53	and	and	CCONJ
ajst-4785	35	54	temperature	temperature	NOUN
ajst-4785	35	55	in	in	ADP
ajst-4785	35	56	the	the	DET
ajst-4785	35	57	inversions	inversion	NOUN
ajst-4785	35	58	of	of	ADP
ajst-4785	35	59	different	different	ADJ
ajst-4785	35	60	users	user	NOUN
ajst-4785	35	61	.	.	PUNCT
ajst-4785	36	1	3.2	3.2	NUM
ajst-4785	36	2	.	.	PUNCT
ajst-4785	37	1	remote	remote	ADJ
ajst-4785	37	2	sensing	sense	VERB
ajst-4785	37	3	data	datum	NOUN
ajst-4785	37	4	information	information	NOUN
ajst-4785	37	5	extraction	extraction	NOUN
ajst-4785	37	6	from	from	ADP
ajst-4785	37	7	the	the	DET
ajst-4785	37	8	perspective	perspective	NOUN
ajst-4785	37	9	of	of	ADP
ajst-4785	37	10	remote	remote	ADJ
ajst-4785	37	11	sensing	sense	VERB
ajst-4785	37	12	data	datum	NOUN
ajst-4785	37	13	information	information	NOUN
ajst-4785	37	14	extraction	extraction	NOUN
ajst-4785	37	15	,	,	PUNCT
ajst-4785	37	16	domestic	domestic	ADJ
ajst-4785	37	17	remote	remote	ADJ
ajst-4785	37	18	sensing	sense	VERB
ajst-4785	37	19	information	information	NOUN
ajst-4785	37	20	extraction	extraction	NOUN
ajst-4785	37	21	technology	technology	NOUN
ajst-4785	37	22	has	have	AUX
ajst-4785	37	23	changed	change	VERB
ajst-4785	37	24	from	from	ADP
ajst-4785	37	25	traditional	traditional	ADJ
ajst-4785	37	26	statistical	statistical	ADJ
ajst-4785	37	27	methods	method	NOUN
ajst-4785	37	28	to	to	ADP
ajst-4785	37	29	data	data	NOUN
ajst-4785	37	30	-	-	PUNCT
ajst-4785	37	31	driven	drive	VERB
ajst-4785	37	32	and	and	CCONJ
ajst-4785	37	33	artificial	artificial	ADJ
ajst-4785	37	34	intelligence	intelligence	NOUN
ajst-4785	37	35	methods	method	NOUN
ajst-4785	37	36	,	,	PUNCT
ajst-4785	37	37	but	but	CCONJ
ajst-4785	37	38	on	on	ADP
ajst-4785	37	39	the	the	DET
ajst-4785	37	40	whole	whole	NOUN
ajst-4785	37	41	,	,	PUNCT
ajst-4785	37	42	the	the	DET
ajst-4785	37	43	application	application	NOUN
ajst-4785	37	44	of	of	ADP
ajst-4785	37	45	industry	industry	NOUN
ajst-4785	37	46	a	a	DET
ajst-4785	37	47	priori	priori	ADJ
ajst-4785	37	48	knowledge	knowledge	NOUN
ajst-4785	37	49	is	be	AUX
ajst-4785	37	50	still	still	ADV
ajst-4785	37	51	insufficient	insufficient	ADJ
ajst-4785	37	52	,	,	PUNCT
ajst-4785	37	53	and	and	CCONJ
ajst-4785	37	54	the	the	DET
ajst-4785	37	55	integration	integration	NOUN
ajst-4785	37	56	of	of	ADP
ajst-4785	37	57	data	data	NOUN
ajst-4785	37	58	-	-	PUNCT
ajst-4785	37	59	driven	drive	VERB
ajst-4785	37	60	and	and	CCONJ
ajst-4785	37	61	knowledge	knowledge	NOUN
ajst-4785	37	62	-	-	PUNCT
ajst-4785	37	63	driven	drive	VERB
ajst-4785	37	64	methodologies	methodology	NOUN
ajst-4785	37	65	will	will	AUX
ajst-4785	37	66	be	be	AUX
ajst-4785	37	67	one	one	NUM
ajst-4785	37	68	of	of	ADP
ajst-4785	37	69	the	the	DET
ajst-4785	37	70	key	key	ADJ
ajst-4785	37	71	issues	issue	NOUN
ajst-4785	37	72	in	in	ADP
ajst-4785	37	73	the	the	DET
ajst-4785	37	74	industrialization	industrialization	NOUN
ajst-4785	37	75	of	of	ADP
ajst-4785	37	76	the	the	DET
ajst-4785	37	77	technology	technology	NOUN
ajst-4785	37	78	.	.	PUNCT
ajst-4785	38	1	(	(	PUNCT
ajst-4785	38	2	1	1	X
ajst-4785	38	3	)	)	PUNCT
ajst-4785	38	4	remote	remote	ADJ
ajst-4785	38	5	sensing	sense	VERB
ajst-4785	38	6	data	datum	NOUN
ajst-4785	38	7	analysis	analysis	NOUN
ajst-4785	38	8	thinking	think	VERB
ajst-4785	38	9	algorithmic	algorithmic	ADJ
ajst-4785	38	10	thinking	thinking	NOUN
ajst-4785	38	11	is	be	AUX
ajst-4785	38	12	based	base	VERB
ajst-4785	38	13	on	on	ADP
ajst-4785	38	14	the	the	DET
ajst-4785	38	15	remote	remote	ADJ
ajst-4785	38	16	sensing	sense	VERB
ajst-4785	38	17	data	datum	NOUN
ajst-4785	38	18	level	level	NOUN
ajst-4785	38	19	,	,	PUNCT
ajst-4785	38	20	using	use	VERB
ajst-4785	38	21	image	image	NOUN
ajst-4785	38	22	spectral	spectral	ADJ
ajst-4785	38	23	,	,	PUNCT
ajst-4785	38	24	texture	texture	ADJ
ajst-4785	38	25	,	,	PUNCT
ajst-4785	38	26	shape	shape	NOUN
ajst-4785	38	27	features	feature	NOUN
ajst-4785	38	28	,	,	PUNCT
ajst-4785	38	29	and	and	CCONJ
ajst-4785	38	30	even	even	ADV
ajst-4785	38	31	dem	dem	ADJ
ajst-4785	38	32	or	or	CCONJ
ajst-4785	38	33	spatial	spatial	ADJ
ajst-4785	38	34	and	and	CCONJ
ajst-4785	38	35	temporal	temporal	ADJ
ajst-4785	38	36	high	high	ADJ
ajst-4785	38	37	-	-	PUNCT
ajst-4785	38	38	dimensional	dimensional	ADJ
ajst-4785	38	39	feature	feature	NOUN
ajst-4785	38	40	expansion	expansion	NOUN
ajst-4785	38	41	as	as	ADV
ajst-4785	38	42	much	much	ADV
ajst-4785	38	43	as	as	ADP
ajst-4785	38	44	possible	possible	ADJ
ajst-4785	38	45	,	,	PUNCT
ajst-4785	38	46	and	and	CCONJ
ajst-4785	38	47	the	the	DET
ajst-4785	38	48	process	process	NOUN
ajst-4785	38	49	of	of	ADP
ajst-4785	38	50	obtaining	obtain	VERB
ajst-4785	38	51	remote	remote	ADJ
ajst-4785	38	52	sensing	sense	VERB
ajst-4785	38	53	information	information	NOUN
ajst-4785	38	54	using	use	VERB
ajst-4785	38	55	sample	sample	NOUN
ajst-4785	38	56	learning	learning	NOUN
ajst-4785	38	57	based	base	VERB
ajst-4785	38	58	on	on	ADP
ajst-4785	38	59	machine	machine	NOUN
ajst-4785	38	60	learning	learn	VERB
ajst-4785	38	61	algorithms	algorithm	NOUN
ajst-4785	38	62	[	[	X
ajst-4785	38	63	15	15	NUM
ajst-4785	38	64	-	-	SYM
ajst-4785	38	65	16	16	NUM
ajst-4785	38	66	]	]	PUNCT
ajst-4785	38	67	.	.	PUNCT
ajst-4785	39	1	the	the	DET
ajst-4785	39	2	current	current	ADJ
ajst-4785	39	3	widely	widely	ADV
ajst-4785	39	4	focused	focus	VERB
ajst-4785	39	5	deep	deep	ADJ
ajst-4785	39	6	learning	learning	NOUN
ajst-4785	39	7	can	can	AUX
ajst-4785	39	8	also	also	ADV
ajst-4785	39	9	be	be	AUX
ajst-4785	39	10	considered	consider	VERB
ajst-4785	39	11	as	as	ADP
ajst-4785	39	12	a	a	DET
ajst-4785	39	13	class	class	NOUN
ajst-4785	39	14	of	of	ADP
ajst-4785	39	15	algorithmic	algorithmic	ADJ
ajst-4785	39	16	thinking	thinking	NOUN
ajst-4785	39	17	.	.	PUNCT
ajst-4785	40	1	it	it	PRON
ajst-4785	40	2	combines	combine	VERB
ajst-4785	40	3	data	datum	NOUN
ajst-4785	40	4	and	and	CCONJ
ajst-4785	40	5	algorithms	algorithm	NOUN
ajst-4785	40	6	in	in	ADP
ajst-4785	40	7	depth	depth	NOUN
ajst-4785	40	8	based	base	VERB
ajst-4785	40	9	on	on	ADP
ajst-4785	40	10	deep	deep	ADJ
ajst-4785	40	11	convolutional	convolutional	ADJ
ajst-4785	40	12	neural	neural	ADJ
ajst-4785	40	13	networks	network	NOUN
ajst-4785	40	14	to	to	PART
ajst-4785	40	15	directly	directly	ADV
ajst-4785	40	16	fit	fit	VERB
ajst-4785	40	17	the	the	DET
ajst-4785	40	18	mapping	mapping	NOUN
ajst-4785	40	19	relationship	relationship	NOUN
ajst-4785	40	20	between	between	ADP
ajst-4785	40	21	the	the	DET
ajst-4785	40	22	image	image	NOUN
ajst-4785	40	23	space	space	NOUN
ajst-4785	40	24	of	of	ADP
ajst-4785	40	25	remote	remote	ADJ
ajst-4785	40	26	sensing	sensing	NOUN
ajst-4785	40	27	images	image	NOUN
ajst-4785	40	28	and	and	CCONJ
ajst-4785	40	29	the	the	DET
ajst-4785	40	30	target	target	NOUN
ajst-4785	40	31	object	object	NOUN
ajst-4785	40	32	,	,	PUNCT
ajst-4785	40	33	making	make	VERB
ajst-4785	40	34	the	the	DET
ajst-4785	40	35	features	feature	NOUN
ajst-4785	40	36	that	that	PRON
ajst-4785	40	37	need	need	VERB
ajst-4785	40	38	to	to	PART
ajst-4785	40	39	be	be	AUX
ajst-4785	40	40	designed	design	VERB
ajst-4785	40	41	manually	manually	ADV
ajst-4785	40	42	hidden	hide	VERB
ajst-4785	40	43	in	in	ADP
ajst-4785	40	44	the	the	DET
ajst-4785	40	45	linked	link	VERB
ajst-4785	40	46	parameters	parameter	NOUN
ajst-4785	40	47	of	of	ADP
ajst-4785	40	48	the	the	DET
ajst-4785	40	49	automated	automate	VERB
ajst-4785	40	50	fit	fit	NOUN
ajst-4785	40	51	,	,	PUNCT
ajst-4785	40	52	without	without	ADP
ajst-4785	40	53	the	the	DET
ajst-4785	40	54	need	need	NOUN
ajst-4785	40	55	to	to	PART
ajst-4785	40	56	manually	manually	ADV
ajst-4785	40	57	display	display	VERB
ajst-4785	40	58	the	the	DET
ajst-4785	40	59	design	design	NOUN
ajst-4785	40	60	of	of	ADP
ajst-4785	40	61	interpretable	interpretable	ADJ
ajst-4785	40	62	features	feature	NOUN
ajst-4785	40	63	[	[	X
ajst-4785	40	64	17	17	NUM
ajst-4785	40	65	-	-	SYM
ajst-4785	40	66	18	18	NUM
ajst-4785	40	67	]	]	PUNCT
ajst-4785	40	68	.	.	PUNCT
ajst-4785	41	1	a	a	DET
ajst-4785	41	2	constraint	constraint	NOUN
ajst-4785	41	3	for	for	SCONJ
ajst-4785	41	4	it	it	PRON
ajst-4785	41	5	to	to	PART
ajst-4785	41	6	be	be	AUX
ajst-4785	41	7	achieved	achieve	VERB
ajst-4785	41	8	with	with	ADP
ajst-4785	41	9	high	high	ADJ
ajst-4785	41	10	accuracy	accuracy	NOUN
ajst-4785	41	11	is	be	AUX
ajst-4785	41	12	that	that	SCONJ
ajst-4785	41	13	the	the	DET
ajst-4785	41	14	visual	visual	ADJ
ajst-4785	41	15	features	feature	NOUN
ajst-4785	41	16	of	of	ADP
ajst-4785	41	17	the	the	DET
ajst-4785	41	18	sample	sample	NOUN
ajst-4785	41	19	images	image	NOUN
ajst-4785	41	20	are	be	AUX
ajst-4785	41	21	locally	locally	ADV
ajst-4785	41	22	correlated	correlate	VERB
ajst-4785	41	23	or	or	CCONJ
ajst-4785	41	24	local	local	ADJ
ajst-4785	41	25	feature	feature	NOUN
ajst-4785	41	26	features	feature	NOUN
ajst-4785	41	27	do	do	AUX
ajst-4785	41	28	not	not	PART
ajst-4785	41	29	change	change	VERB
ajst-4785	41	30	with	with	ADP
ajst-4785	41	31	position	position	NOUN
ajst-4785	41	32	[	[	X
ajst-4785	41	33	19	19	NUM
ajst-4785	41	34	]	]	PUNCT
ajst-4785	41	35	.	.	PUNCT
ajst-4785	42	1	geological	geological	ADJ
ajst-4785	42	2	thinking	thinking	NOUN
ajst-4785	42	3	is	be	AUX
ajst-4785	42	4	commonly	commonly	ADV
ajst-4785	42	5	proposed	propose	VERB
ajst-4785	42	6	by	by	ADP
ajst-4785	42	7	researchers	researcher	NOUN
ajst-4785	42	8	in	in	ADP
ajst-4785	42	9	the	the	DET
ajst-4785	42	10	field	field	NOUN
ajst-4785	42	11	of	of	ADP
ajst-4785	42	12	geology	geology	NOUN
ajst-4785	43	1	[	[	X
ajst-4785	43	2	16	16	NUM
ajst-4785	43	3	-	-	SYM
ajst-4785	43	4	17,20	17,20	NUM
ajst-4785	43	5	-	-	SYM
ajst-4785	43	6	21	21	NUM
ajst-4785	43	7	]	]	PUNCT
ajst-4785	43	8	,	,	PUNCT
ajst-4785	43	9	which	which	PRON
ajst-4785	43	10	makes	make	VERB
ajst-4785	43	11	full	full	ADJ
ajst-4785	43	12	use	use	NOUN
ajst-4785	43	13	of	of	ADP
ajst-4785	43	14	the	the	DET
ajst-4785	43	15	existing	exist	VERB
ajst-4785	43	16	knowledge	knowledge	NOUN
ajst-4785	43	17	and	and	CCONJ
ajst-4785	43	18	relevant	relevant	ADJ
ajst-4785	43	19	data	datum	NOUN
ajst-4785	43	20	in	in	ADP
ajst-4785	43	21	the	the	DET
ajst-4785	43	22	field	field	NOUN
ajst-4785	43	23	of	of	ADP
ajst-4785	43	24	geology	geology	NOUN
ajst-4785	43	25	and	and	CCONJ
ajst-4785	43	26	simulates	simulate	NOUN
ajst-4785	43	27	the	the	DET
ajst-4785	43	28	way	way	NOUN
ajst-4785	43	29	of	of	ADP
ajst-4785	43	30	thinking	thinking	NOUN
ajst-4785	43	31	of	of	ADP
ajst-4785	43	32	geological	geological	ADJ
ajst-4785	43	33	experts	expert	NOUN
ajst-4785	43	34	in	in	ADP
ajst-4785	43	35	interpretation	interpretation	NOUN
ajst-4785	43	36	[	[	X
ajst-4785	43	37	22	22	NUM
ajst-4785	43	38	-	-	SYM
ajst-4785	43	39	23	23	NUM
ajst-4785	43	40	]	]	PUNCT
ajst-4785	43	41	.	.	PUNCT
ajst-4785	44	1	an	an	DET
ajst-4785	44	2	early	early	ADJ
ajst-4785	44	3	representative	representative	ADJ
ajst-4785	44	4	study	study	NOUN
ajst-4785	44	5	was	be	AUX
ajst-4785	44	6	an	an	DET
ajst-4785	44	7	expert	expert	ADJ
ajst-4785	44	8	intelligent	intelligent	ADJ
ajst-4785	44	9	interpretation	interpretation	NOUN
ajst-4785	44	10	system	system	NOUN
ajst-4785	44	11	based	base	VERB
ajst-4785	44	12	on	on	ADP
ajst-4785	44	13	high	high	ADJ
ajst-4785	44	14	-	-	PUNCT
ajst-4785	44	15	resolution	resolution	NOUN
ajst-4785	44	16	remote	remote	ADJ
ajst-4785	44	17	sensing	sensing	NOUN
ajst-4785	44	18	images	image	NOUN
ajst-4785	44	19	[	[	X
ajst-4785	44	20	24	24	NUM
ajst-4785	44	21	-	-	SYM
ajst-4785	44	22	25	25	NUM
ajst-4785	44	23	]	]	PUNCT
ajst-4785	44	24	.	.	PUNCT
ajst-4785	45	1	after	after	ADP
ajst-4785	45	2	that	that	PRON
ajst-4785	45	3	,	,	PUNCT
ajst-4785	45	4	spatial	spatial	ADJ
ajst-4785	45	5	cognition	cognition	NOUN
ajst-4785	45	6	has	have	AUX
ajst-4785	45	7	received	receive	VERB
ajst-4785	45	8	wide	wide	ADJ
ajst-4785	45	9	attention	attention	NOUN
ajst-4785	45	10	and	and	CCONJ
ajst-4785	45	11	importance	importance	NOUN
ajst-4785	45	12	from	from	ADP
ajst-4785	45	13	the	the	DET
ajst-4785	45	14	geoscientific	geoscientific	PROPN
ajst-4785	45	15	community	community	NOUN
ajst-4785	45	16	,	,	PUNCT
ajst-4785	45	17	and	and	CCONJ
ajst-4785	45	18	the	the	DET
ajst-4785	45	19	research	research	NOUN
ajst-4785	45	20	content	content	NOUN
ajst-4785	45	21	mainly	mainly	ADV
ajst-4785	45	22	focuses	focus	VERB
ajst-4785	45	23	on	on	ADP
ajst-4785	45	24	several	several	ADJ
ajst-4785	45	25	aspects	aspect	NOUN
ajst-4785	45	26	such	such	ADJ
ajst-4785	45	27	as	as	ADP
ajst-4785	45	28	universal	universal	ADJ
ajst-4785	45	29	laws	law	NOUN
ajst-4785	45	30	of	of	ADP
ajst-4785	45	31	spatial	spatial	ADJ
ajst-4785	45	32	cognition	cognition	NOUN
ajst-4785	45	33	,	,	PUNCT
ajst-4785	45	34	mining	mining	NOUN
ajst-4785	45	35	of	of	ADP
ajst-4785	45	36	structured	structured	ADJ
ajst-4785	45	37	geographic	geographic	ADJ
ajst-4785	45	38	information	information	NOUN
ajst-4785	45	39	and	and	CCONJ
ajst-4785	45	40	spatio	spatio	PROPN
ajst-4785	45	41	-	-	PUNCT
ajst-4785	45	42	temporal	temporal	ADJ
ajst-4785	45	43	reasoning	reasoning	NOUN
ajst-4785	45	44	,	,	PUNCT
ajst-4785	45	45	and	and	CCONJ
ajst-4785	45	46	some	some	DET
ajst-4785	45	47	studies	study	NOUN
ajst-4785	45	48	on	on	ADP
ajst-4785	45	49	the	the	DET
ajst-4785	45	50	interface	interface	NOUN
ajst-4785	45	51	between	between	ADP
ajst-4785	45	52	remote	remote	ADJ
ajst-4785	45	53	sensing	sense	VERB
ajst-4785	45	54	information	information	NOUN
ajst-4785	45	55	extraction	extraction	NOUN
ajst-4785	45	56	and	and	CCONJ
ajst-4785	45	57	geoscientific	geoscientific	PROPN
ajst-4785	45	58	knowledge	knowledge	NOUN
ajst-4785	45	59	have	have	AUX
ajst-4785	45	60	been	be	AUX
ajst-4785	45	61	carried	carry	VERB
ajst-4785	45	62	out	out	ADP
ajst-4785	45	63	under	under	ADP
ajst-4785	45	64	the	the	DET
ajst-4785	45	65	impetus	impetus	NOUN
ajst-4785	45	66	of	of	ADP
ajst-4785	45	67	this	this	PRON
ajst-4785	45	68	.	.	PUNCT
ajst-4785	46	1	for	for	ADP
ajst-4785	46	2	example	example	NOUN
ajst-4785	46	3	,	,	PUNCT
ajst-4785	46	4	remote	remote	ADJ
ajst-4785	46	5	sensing	sensing	NOUN
ajst-4785	46	6	-	-	PUNCT
ajst-4785	46	7	based	base	VERB
ajst-4785	46	8	high	high	ADJ
ajst-4785	46	9	-	-	PUNCT
ajst-4785	46	10	precision	precision	NOUN
ajst-4785	46	11	vertical	vertical	ADJ
ajst-4785	46	12	band	band	NOUN
ajst-4785	46	13	mapping	mapping	NOUN
ajst-4785	46	14	of	of	ADP
ajst-4785	46	15	mountains	mountain	NOUN
ajst-4785	46	16	using	use	VERB
ajst-4785	46	17	topography	topography	NOUN
ajst-4785	46	18	and	and	CCONJ
ajst-4785	46	19	existing	exist	VERB
ajst-4785	46	20	small	small	ADJ
ajst-4785	46	21	-	-	PUNCT
ajst-4785	46	22	scale	scale	NOUN
ajst-4785	46	23	vegetation	vegetation	NOUN
ajst-4785	46	24	maps	map	NOUN
ajst-4785	46	25	[	[	X
ajst-4785	46	26	26	26	NUM
ajst-4785	46	27	-	-	SYM
ajst-4785	46	28	29	29	NUM
ajst-4785	46	29	]	]	PUNCT
ajst-4785	46	30	.	.	PUNCT
ajst-4785	47	1	(	(	PUNCT
ajst-4785	47	2	2	2	X
ajst-4785	47	3	)	)	PUNCT
ajst-4785	47	4	remote	remote	ADJ
ajst-4785	47	5	sensing	sense	VERB
ajst-4785	47	6	data	datum	NOUN
ajst-4785	47	7	processing	process	VERB
ajst-4785	47	8	the	the	DET
ajst-4785	47	9	process	process	NOUN
ajst-4785	47	10	of	of	ADP
ajst-4785	47	11	remote	remote	ADJ
ajst-4785	47	12	sensing	sense	VERB
ajst-4785	47	13	data	datum	NOUN
ajst-4785	47	14	processing	processing	NOUN
ajst-4785	47	15	is	be	AUX
ajst-4785	47	16	shown	show	VERB
ajst-4785	47	17	in	in	ADP
ajst-4785	47	18	figure	figure	NOUN
ajst-4785	47	19	1	1	NUM
ajst-4785	47	20	.	.	PUNCT
ajst-4785	47	21	figure	figure	NOUN
ajst-4785	47	22	1	1	NUM
ajst-4785	47	23	.	.	PUNCT
ajst-4785	47	24	system	system	NOUN
ajst-4785	47	25	architecture	architecture	NOUN
ajst-4785	47	26	considering	consider	VERB
ajst-4785	47	27	the	the	DET
ajst-4785	47	28	great	great	ADJ
ajst-4785	47	29	potential	potential	ADJ
ajst-4785	47	30	demand	demand	NOUN
ajst-4785	47	31	for	for	ADP
ajst-4785	47	32	satellite	satellite	NOUN
ajst-4785	47	33	remote	remote	ADJ
ajst-4785	47	34	sensing	sense	VERB
ajst-4785	47	35	data	datum	NOUN
ajst-4785	47	36	in	in	ADP
ajst-4785	47	37	china	china	PROPN
ajst-4785	47	38	's	's	PART
ajst-4785	47	39	national	national	ADJ
ajst-4785	47	40	economic	economic	ADJ
ajst-4785	47	41	construction	construction	NOUN
ajst-4785	47	42	,	,	PUNCT
ajst-4785	47	43	it	it	PRON
ajst-4785	47	44	is	be	AUX
ajst-4785	47	45	necessary	necessary	ADJ
ajst-4785	47	46	to	to	PART
ajst-4785	47	47	establish	establish	VERB
ajst-4785	47	48	a	a	DET
ajst-4785	47	49	product	product	NOUN
ajst-4785	47	50	and	and	CCONJ
ajst-4785	47	51	technology	technology	NOUN
ajst-4785	47	52	system	system	NOUN
ajst-4785	47	53	oriented	orient	VERB
ajst-4785	47	54	to	to	ADP
ajst-4785	47	55	global	global	ADJ
ajst-4785	47	56	standards	standard	NOUN
ajst-4785	47	57	and	and	CCONJ
ajst-4785	47	58	specifications	specification	NOUN
ajst-4785	47	59	based	base	VERB
ajst-4785	47	60	on	on	ADP
ajst-4785	47	61	domestic	domestic	ADJ
ajst-4785	47	62	satellite	satellite	NOUN
ajst-4785	47	63	constellation	constellation	NOUN
ajst-4785	47	64	resources	resource	NOUN
ajst-4785	47	65	,	,	PUNCT
ajst-4785	47	66	fully	fully	ADV
ajst-4785	47	67	integrate	integrate	VERB
ajst-4785	47	68	the	the	DET
ajst-4785	47	69	technical	technical	ADJ
ajst-4785	47	70	achievements	achievement	NOUN
ajst-4785	47	71	in	in	ADP
ajst-4785	47	72	communication	communication	NOUN
ajst-4785	47	73	,	,	PUNCT
ajst-4785	47	74	navigation	navigation	NOUN
ajst-4785	47	75	,	,	PUNCT
ajst-4785	47	76	network	network	NOUN
ajst-4785	47	77	,	,	PUNCT
ajst-4785	47	78	gis	gis	NOUN
ajst-4785	47	79	and	and	CCONJ
ajst-4785	47	80	other	other	ADJ
ajst-4785	47	81	related	related	ADJ
ajst-4785	47	82	fields	field	NOUN
ajst-4785	47	83	,	,	PUNCT
ajst-4785	47	84	build	build	VERB
ajst-4785	47	85	high	high	ADJ
ajst-4785	47	86	-	-	PUNCT
ajst-4785	47	87	performance	performance	NOUN
ajst-4785	47	88	and	and	CCONJ
ajst-4785	47	89	intelligent	intelligent	ADJ
ajst-4785	47	90	practical	practical	ADJ
ajst-4785	47	91	software	software	NOUN
ajst-4785	47	92	tools	tool	NOUN
ajst-4785	47	93	and	and	CCONJ
ajst-4785	47	94	platforms	platform	NOUN
ajst-4785	47	95	,	,	PUNCT
ajst-4785	47	96	provide	provide	VERB
ajst-4785	47	97	broader	broad	ADJ
ajst-4785	47	98	and	and	CCONJ
ajst-4785	47	99	deeper	deep	ADJ
ajst-4785	47	100	business	business	NOUN
ajst-4785	47	101	services	service	NOUN
ajst-4785	47	102	,	,	PUNCT
ajst-4785	47	103	and	and	CCONJ
ajst-4785	47	104	establish	establish	VERB
ajst-4785	47	105	sustainable	sustainable	ADJ
ajst-4785	47	106	industrial	industrial	ADJ
ajst-4785	47	107	development	development	NOUN
ajst-4785	47	108	capability	capability	NOUN
ajst-4785	47	109	through	through	ADP
ajst-4785	47	110	the	the	DET
ajst-4785	47	111	gradual	gradual	ADJ
ajst-4785	47	112	development	development	NOUN
ajst-4785	47	113	and	and	CCONJ
ajst-4785	47	114	improvement	improvement	NOUN
ajst-4785	47	115	of	of	ADP
ajst-4785	47	116	market	market	NOUN
ajst-4785	47	117	mechanism	mechanism	NOUN
ajst-4785	47	118	.	.	PUNCT
ajst-4785	48	1	4	4	X
ajst-4785	48	2	.	.	X
ajst-4785	48	3	pm2.5	pm2.5	CCONJ
ajst-4785	48	4	inversion	inversion	NOUN
ajst-4785	48	5	model	model	NOUN
ajst-4785	48	6	pm2.5	pm2.5	PART
ajst-4785	48	7	concentration	concentration	NOUN
ajst-4785	48	8	estimation	estimation	NOUN
ajst-4785	48	9	methods	method	NOUN
ajst-4785	48	10	are	be	AUX
ajst-4785	48	11	divided	divide	VERB
ajst-4785	48	12	into	into	ADP
ajst-4785	48	13	three	three	NUM
ajst-4785	48	14	main	main	ADJ
ajst-4785	48	15	categories	category	NOUN
ajst-4785	48	16	,	,	PUNCT
ajst-4785	48	17	and	and	CCONJ
ajst-4785	48	18	pm2.5	pm2.5	DET
ajst-4785	48	19	concentration	concentration	NOUN
ajst-4785	48	20	estimation	estimation	NOUN
ajst-4785	48	21	methods	method	NOUN
ajst-4785	48	22	are	be	AUX
ajst-4785	48	23	shown	show	VERB
ajst-4785	48	24	in	in	ADP
ajst-4785	48	25	figure	figure	NOUN
ajst-4785	48	26	2	2	NUM
ajst-4785	48	27	.	.	PUNCT
ajst-4785	49	1	empirical	empirical	ADJ
ajst-4785	49	2	statistical	statistical	ADJ
ajst-4785	49	3	methods	method	NOUN
ajst-4785	49	4	including	include	VERB
ajst-4785	49	5	machine	machine	NOUN
ajst-4785	49	6	learning	learning	NOUN
ajst-4785	49	7	,	,	PUNCT
ajst-4785	49	8	chemical	chemical	NOUN
ajst-4785	49	9	transport	transport	NOUN
ajst-4785	49	10	model	model	NOUN
ajst-4785	49	11	-	-	PUNCT
ajst-4785	49	12	based	base	VERB
ajst-4785	49	13	methods	method	NOUN
ajst-4785	49	14	,	,	PUNCT
ajst-4785	49	15	and	and	CCONJ
ajst-4785	49	16	other	other	ADJ
ajst-4785	49	17	methods	method	NOUN
ajst-4785	49	18	such	such	ADJ
ajst-4785	49	19	as	as	ADP
ajst-4785	49	20	semi	semi	ADJ
ajst-4785	49	21	-	-	ADJ
ajst-4785	49	22	empirical	empirical	ADJ
ajst-4785	49	23	formulations	formulation	NOUN
ajst-4785	49	24	.	.	PUNCT
ajst-4785	50	1	the	the	DET
ajst-4785	50	2	performance	performance	NOUN
ajst-4785	50	3	of	of	ADP
ajst-4785	50	4	each	each	DET
ajst-4785	50	5	method	method	NOUN
ajst-4785	50	6	depends	depend	VERB
ajst-4785	50	7	on	on	ADP
ajst-4785	50	8	the	the	DET
ajst-4785	50	9	study	study	NOUN
ajst-4785	50	10	area	area	NOUN
ajst-4785	50	11	and	and	CCONJ
ajst-4785	50	12	period	period	NOUN
ajst-4785	50	13	as	as	ADV
ajst-4785	50	14	well	well	ADV
ajst-4785	50	15	as	as	ADP
ajst-4785	50	16	the	the	DET
ajst-4785	50	17	spatial	spatial	ADJ
ajst-4785	50	18	and	and	CCONJ
ajst-4785	50	19	temporal	temporal	ADJ
ajst-4785	50	20	resolution	resolution	NOUN
ajst-4785	50	21	of	of	ADP
ajst-4785	50	22	the	the	DET
ajst-4785	50	23	data	datum	NOUN
ajst-4785	50	24	,	,	PUNCT
ajst-4785	50	25	and	and	CCONJ
ajst-4785	50	26	a	a	DET
ajst-4785	50	27	single	single	ADJ
ajst-4785	50	28	method	method	NOUN
ajst-4785	50	29	does	do	AUX
ajst-4785	50	30	not	not	PART
ajst-4785	50	31	always	always	ADV
ajst-4785	50	32	perform	perform	VERB
ajst-4785	50	33	best	good	ADJ
ajst-4785	50	34	in	in	ADP
ajst-4785	50	35	different	different	ADJ
ajst-4785	50	36	applications	application	NOUN
ajst-4785	50	37	[	[	X
ajst-4785	50	38	30	30	NUM
ajst-4785	50	39	]	]	PUNCT
ajst-4785	50	40	.	.	PUNCT
ajst-4785	51	1	53	53	NUM
ajst-4785	51	2	figure	figure	NOUN
ajst-4785	51	3	1	1	NUM
ajst-4785	51	4	.	.	PUNCT
ajst-4785	52	1	pm2.5	pm2.5	PART
ajst-4785	52	2	concentration	concentration	NOUN
ajst-4785	52	3	estimation	estimation	NOUN
ajst-4785	52	4	method	method	NOUN
ajst-4785	52	5	4.1	4.1	NUM
ajst-4785	52	6	.	.	PUNCT
ajst-4785	53	1	statistical	statistical	ADJ
ajst-4785	53	2	regression	regression	NOUN
ajst-4785	53	3	models	model	NOUN
ajst-4785	53	4	previous	previous	ADJ
ajst-4785	53	5	studies	study	NOUN
ajst-4785	53	6	established	establish	VERB
ajst-4785	53	7	linear	linear	ADJ
ajst-4785	53	8	regression	regression	NOUN
ajst-4785	53	9	models	model	NOUN
ajst-4785	53	10	(	(	PUNCT
ajst-4785	53	11	slr	slr	X
ajst-4785	53	12	)	)	PUNCT
ajst-4785	53	13	based	base	VERB
ajst-4785	53	14	on	on	ADP
ajst-4785	53	15	the	the	DET
ajst-4785	53	16	linear	linear	PROPN
ajst-4785	53	17	relationship	relationship	NOUN
ajst-4785	53	18	between	between	ADP
ajst-4785	53	19	aod	aod	NOUN
ajst-4785	53	20	-	-	PUNCT
ajst-4785	53	21	pm2.5	pm2.5	PROPN
ajst-4785	53	22	and	and	CCONJ
ajst-4785	53	23	obtained	obtain	VERB
ajst-4785	53	24	better	well	ADV
ajst-4785	53	25	fitting	fitting	ADJ
ajst-4785	53	26	results	result	NOUN
ajst-4785	53	27	[	[	X
ajst-4785	53	28	31	31	NUM
ajst-4785	53	29	-	-	SYM
ajst-4785	53	30	32	32	NUM
ajst-4785	53	31	]	]	PUNCT
ajst-4785	53	32	.	.	PUNCT
ajst-4785	54	1	however	however	ADV
ajst-4785	54	2	,	,	PUNCT
ajst-4785	54	3	this	this	DET
ajst-4785	54	4	relationship	relationship	NOUN
ajst-4785	54	5	varies	vary	VERB
ajst-4785	54	6	from	from	ADP
ajst-4785	54	7	region	region	NOUN
ajst-4785	54	8	to	to	ADP
ajst-4785	54	9	region	region	NOUN
ajst-4785	54	10	and	and	CCONJ
ajst-4785	54	11	time	time	NOUN
ajst-4785	54	12	to	to	ADP
ajst-4785	54	13	time	time	NOUN
ajst-4785	54	14	due	due	ADP
ajst-4785	54	15	to	to	ADP
ajst-4785	54	16	the	the	DET
ajst-4785	54	17	effects	effect	NOUN
ajst-4785	54	18	of	of	ADP
ajst-4785	54	19	emissions	emission	NOUN
ajst-4785	54	20	and	and	CCONJ
ajst-4785	54	21	changing	change	VERB
ajst-4785	54	22	meteorological	meteorological	ADJ
ajst-4785	54	23	conditions	condition	NOUN
ajst-4785	54	24	.	.	PUNCT
ajst-4785	55	1	more	more	ADJ
ajst-4785	55	2	meteorological	meteorological	ADJ
ajst-4785	55	3	variables	variable	NOUN
ajst-4785	55	4	(	(	PUNCT
ajst-4785	55	5	including	include	VERB
ajst-4785	55	6	relative	relative	ADJ
ajst-4785	55	7	humidity	humidity	NOUN
ajst-4785	55	8	,	,	PUNCT
ajst-4785	55	9	temperature	temperature	NOUN
ajst-4785	55	10	,	,	PUNCT
ajst-4785	55	11	wind	wind	NOUN
ajst-4785	55	12	speed	speed	NOUN
ajst-4785	55	13	,	,	PUNCT
ajst-4785	55	14	and	and	CCONJ
ajst-4785	55	15	planetary	planetary	ADJ
ajst-4785	55	16	boundary	boundary	ADJ
ajst-4785	55	17	layer	layer	NOUN
ajst-4785	55	18	height	height	NOUN
ajst-4785	55	19	,	,	PUNCT
ajst-4785	55	20	etc	etc	X
ajst-4785	55	21	.	.	X
ajst-4785	55	22	)	)	PUNCT
ajst-4785	55	23	need	need	VERB
ajst-4785	55	24	to	to	PART
ajst-4785	55	25	be	be	AUX
ajst-4785	55	26	incorporated	incorporate	VERB
ajst-4785	55	27	,	,	PUNCT
ajst-4785	55	28	and	and	CCONJ
ajst-4785	55	29	multiple	multiple	ADJ
ajst-4785	55	30	linear	linear	ADJ
ajst-4785	55	31	regression	regression	NOUN
ajst-4785	55	32	models	model	NOUN
ajst-4785	55	33	(	(	PUNCT
ajst-4785	55	34	mlr	mlr	NOUN
ajst-4785	55	35	)	)	PUNCT
ajst-4785	55	36	can	can	AUX
ajst-4785	55	37	better	well	ADV
ajst-4785	55	38	represent	represent	VERB
ajst-4785	55	39	the	the	DET
ajst-4785	55	40	aodpm2.5	aodpm2.5	ADJ
ajst-4785	55	41	relationship	relationship	NOUN
ajst-4785	56	1	[	[	X
ajst-4785	56	2	33	33	NUM
ajst-4785	56	3	-	-	SYM
ajst-4785	56	4	34	34	NUM
ajst-4785	56	5	]	]	PUNCT
ajst-4785	56	6	.	.	PUNCT
ajst-4785	57	1	currently	currently	ADV
ajst-4785	57	2	,	,	PUNCT
ajst-4785	57	3	related	related	ADJ
ajst-4785	57	4	studies	study	NOUN
ajst-4785	57	5	usually	usually	ADV
ajst-4785	57	6	use	use	VERB
ajst-4785	57	7	mlr	mlr	NOUN
ajst-4785	57	8	models	model	NOUN
ajst-4785	57	9	as	as	ADP
ajst-4785	57	10	a	a	DET
ajst-4785	57	11	comparison	comparison	NOUN
ajst-4785	57	12	model	model	NOUN
ajst-4785	57	13	to	to	ADP
ajst-4785	57	14	other	other	ADJ
ajst-4785	57	15	models	model	NOUN
ajst-4785	57	16	or	or	CCONJ
ajst-4785	57	17	combine	combine	VERB
ajst-4785	57	18	other	other	ADJ
ajst-4785	57	19	models	model	NOUN
ajst-4785	57	20	to	to	PART
ajst-4785	57	21	better	well	ADV
ajst-4785	57	22	estimate	estimate	VERB
ajst-4785	57	23	pm2.5	pm2.5	DET
ajst-4785	57	24	concentrations	concentration	NOUN
ajst-4785	57	25	.	.	PUNCT
ajst-4785	58	1	for	for	ADP
ajst-4785	58	2	example	example	NOUN
ajst-4785	58	3	,	,	PUNCT
ajst-4785	58	4	li	li	PROPN
ajst-4785	58	5	et	et	PROPN
ajst-4785	58	6	al	al	PROPN
ajst-4785	58	7	[	[	X
ajst-4785	58	8	35	35	NUM
ajst-4785	58	9	]	]	PUNCT
ajst-4785	58	10	developed	develop	VERB
ajst-4785	58	11	a	a	DET
ajst-4785	58	12	generalized	generalized	ADJ
ajst-4785	58	13	regression	regression	NOUN
ajst-4785	58	14	neural	neural	ADJ
ajst-4785	58	15	network	network	NOUN
ajst-4785	58	16	model	model	NOUN
ajst-4785	58	17	(	(	PUNCT
ajst-4785	58	18	grnn	grnn	PROPN
ajst-4785	58	19	)	)	PUNCT
ajst-4785	58	20	to	to	PART
ajst-4785	58	21	estimate	estimate	VERB
ajst-4785	58	22	pm2.5	pm2.5	DET
ajst-4785	58	23	concentrations	concentration	NOUN
ajst-4785	58	24	in	in	ADP
ajst-4785	58	25	china	china	PROPN
ajst-4785	58	26	with	with	ADP
ajst-4785	58	27	a	a	DET
ajst-4785	58	28	cv	cv	PROPN
ajst-4785	58	29	r2	r2	NOUN
ajst-4785	58	30	of	of	ADP
ajst-4785	58	31	0.82	0.82	NUM
ajst-4785	58	32	compared	compare	VERB
ajst-4785	58	33	to	to	ADP
ajst-4785	58	34	the	the	DET
ajst-4785	58	35	mlr	mlr	NOUN
ajst-4785	58	36	model	model	NOUN
ajst-4785	58	37	(	(	PUNCT
ajst-4785	58	38	cv	cv	PROPN
ajst-4785	58	39	r2	r2	PROPN
ajst-4785	58	40	=	=	PROPN
ajst-4785	58	41	0.53	0.53	NUM
ajst-4785	58	42	)	)	PUNCT
ajst-4785	58	43	;	;	PUNCT
ajst-4785	58	44	chelani	chelani	PROPN
ajst-4785	58	45	et	et	PROPN
ajst-4785	58	46	al	al	PROPN
ajst-4785	59	1	[	[	X
ajst-4785	59	2	36	36	NUM
ajst-4785	59	3	]	]	PUNCT
ajst-4785	59	4	estimated	estimate	VERB
ajst-4785	59	5	pm2.5	pm2.5	ADJ
ajst-4785	59	6	concentrations	concentration	NOUN
ajst-4785	59	7	in	in	ADP
ajst-4785	59	8	five	five	NUM
ajst-4785	59	9	indian	indian	ADJ
ajst-4785	59	10	cities	city	NOUN
ajst-4785	59	11	by	by	ADP
ajst-4785	59	12	building	build	VERB
ajst-4785	59	13	a	a	DET
ajst-4785	59	14	combined	combine	VERB
ajst-4785	59	15	model	model	NOUN
ajst-4785	59	16	of	of	ADP
ajst-4785	59	17	mlr	mlr	PROPN
ajst-4785	59	18	model	model	NOUN
ajst-4785	59	19	and	and	CCONJ
ajst-4785	59	20	mlr	mlr	PROPN
ajst-4785	59	21	residual	residual	ADJ
ajst-4785	59	22	model	model	NOUN
ajst-4785	59	23	,	,	PUNCT
ajst-4785	59	24	and	and	CCONJ
ajst-4785	59	25	the	the	DET
ajst-4785	59	26	combined	combined	ADJ
ajst-4785	59	27	model	model	NOUN
ajst-4785	59	28	outperformed	outperformed	PROPN
ajst-4785	59	29	mlr	mlr	PROPN
ajst-4785	59	30	;	;	PUNCT
ajst-4785	59	31	ahmad	ahmad	PROPN
ajst-4785	59	32	et	et	PROPN
ajst-4785	59	33	al	al	PROPN
ajst-4785	60	1	[	[	X
ajst-4785	60	2	37	37	NUM
ajst-4785	60	3	]	]	PUNCT
ajst-4785	60	4	developed	develop	VERB
ajst-4785	60	5	a	a	DET
ajst-4785	60	6	new	new	ADJ
ajst-4785	60	7	method	method	NOUN
ajst-4785	60	8	combining	combine	VERB
ajst-4785	60	9	mlr	mlr	NOUN
ajst-4785	60	10	and	and	CCONJ
ajst-4785	60	11	artificial	artificial	ADJ
ajst-4785	60	12	neural	neural	ADJ
ajst-4785	60	13	network	network	NOUN
ajst-4785	60	14	(	(	PUNCT
ajst-4785	60	15	ann	ann	PROPN
ajst-4785	60	16	)	)	PUNCT
ajst-4785	60	17	to	to	PART
ajst-4785	60	18	estimate	estimate	VERB
ajst-4785	60	19	pm2.5	pm2.5	DET
ajst-4785	60	20	concentrations	concentration	NOUN
ajst-4785	60	21	in	in	ADP
ajst-4785	60	22	karachi	karachi	PROPN
ajst-4785	60	23	(	(	PUNCT
ajst-4785	60	24	a	a	DET
ajst-4785	60	25	city	city	NOUN
ajst-4785	60	26	in	in	ADP
ajst-4785	60	27	pakistan	pakistan	PROPN
ajst-4785	60	28	)	)	PUNCT
ajst-4785	60	29	for	for	ADP
ajst-4785	60	30	2015	2015	NUM
ajst-4785	60	31	-	-	SYM
ajst-4785	60	32	2017	2017	NUM
ajst-4785	60	33	using	use	VERB
ajst-4785	60	34	aod	aod	PROPN
ajst-4785	60	35	,	,	PUNCT
ajst-4785	60	36	land	land	NOUN
ajst-4785	60	37	use	use	NOUN
ajst-4785	60	38	and	and	CCONJ
ajst-4785	60	39	meteorological	meteorological	ADJ
ajst-4785	60	40	parameters	parameter	NOUN
ajst-4785	60	41	with	with	ADP
ajst-4785	60	42	r2	r2	PROPN
ajst-4785	60	43	range	range	NOUN
ajst-4785	60	44	of	of	ADP
ajst-4785	60	45	0.76	0.76	NUM
ajst-4785	60	46	to	to	ADP
ajst-4785	60	47	0.96	0.96	NUM
ajst-4785	60	48	.	.	PUNCT
ajst-4785	61	1	land	land	NOUN
ajst-4785	61	2	use	use	NOUN
ajst-4785	61	3	regression	regression	NOUN
ajst-4785	61	4	model	model	NOUN
ajst-4785	61	5	(	(	PUNCT
ajst-4785	61	6	lur	lur	PROPN
ajst-4785	61	7	)	)	PUNCT
ajst-4785	61	8	was	be	AUX
ajst-4785	61	9	developed	develop	VERB
ajst-4785	61	10	using	use	VERB
ajst-4785	61	11	mlr	mlr	NOUN
ajst-4785	61	12	model	model	NOUN
ajst-4785	61	13	based	base	VERB
ajst-4785	61	14	on	on	ADP
ajst-4785	61	15	land	land	NOUN
ajst-4785	61	16	use	use	NOUN
ajst-4785	61	17	related	relate	VERB
ajst-4785	61	18	variables	variable	NOUN
ajst-4785	61	19	that	that	PRON
ajst-4785	61	20	reflect	reflect	VERB
ajst-4785	61	21	the	the	DET
ajst-4785	61	22	characteristics	characteristic	NOUN
ajst-4785	61	23	of	of	ADP
ajst-4785	61	24	the	the	DET
ajst-4785	61	25	surrounding	surround	VERB
ajst-4785	61	26	environment	environment	NOUN
ajst-4785	61	27	such	such	ADJ
ajst-4785	61	28	as	as	ADP
ajst-4785	61	29	industrial	industrial	ADJ
ajst-4785	61	30	land	land	NOUN
ajst-4785	61	31	area	area	NOUN
ajst-4785	61	32	,	,	PUNCT
ajst-4785	61	33	road	road	NOUN
ajst-4785	61	34	length	length	NOUN
ajst-4785	61	35	,	,	PUNCT
ajst-4785	61	36	traffic	traffic	NOUN
ajst-4785	61	37	volume	volume	NOUN
ajst-4785	61	38	and	and	CCONJ
ajst-4785	61	39	population	population	NOUN
ajst-4785	61	40	density	density	NOUN
ajst-4785	62	1	[	[	X
ajst-4785	62	2	38	38	NUM
ajst-4785	62	3	]	]	PUNCT
ajst-4785	62	4	.	.	PUNCT
ajst-4785	63	1	xu	xu	PROPN
ajst-4785	63	2	gang	gang	PROPN
ajst-4785	63	3	et	et	PROPN
ajst-4785	63	4	al	al	PROPN
ajst-4785	64	1	[	[	X
ajst-4785	64	2	39	39	NUM
ajst-4785	64	3	]	]	PUNCT
ajst-4785	64	4	selected	select	VERB
ajst-4785	64	5	six	six	NUM
ajst-4785	64	6	types	type	NOUN
ajst-4785	64	7	of	of	ADP
ajst-4785	64	8	predictor	predictor	NOUN
ajst-4785	64	9	variables	variable	NOUN
ajst-4785	64	10	for	for	ADP
ajst-4785	64	11	land	land	NOUN
ajst-4785	64	12	use	use	NOUN
ajst-4785	64	13	road	road	NOUN
ajst-4785	64	14	traffic	traffic	NOUN
ajst-4785	64	15	,	,	PUNCT
ajst-4785	64	16	population	population	NOUN
ajst-4785	64	17	density	density	NOUN
ajst-4785	64	18	,	,	PUNCT
ajst-4785	64	19	industrial	industrial	ADJ
ajst-4785	64	20	pollution	pollution	NOUN
ajst-4785	64	21	sources	source	NOUN
ajst-4785	64	22	,	,	PUNCT
ajst-4785	64	23	elevation	elevation	NOUN
ajst-4785	64	24	,	,	PUNCT
ajst-4785	64	25	and	and	CCONJ
ajst-4785	64	26	meteorological	meteorological	ADJ
ajst-4785	64	27	variables	variable	NOUN
ajst-4785	64	28	with	with	ADP
ajst-4785	64	29	pm2.5	pm2.5	PRON
ajst-4785	64	30	to	to	PART
ajst-4785	64	31	develop	develop	VERB
ajst-4785	64	32	a	a	DET
ajst-4785	64	33	lur	lur	NOUN
ajst-4785	64	34	model	model	NOUN
ajst-4785	64	35	to	to	PART
ajst-4785	64	36	simulate	simulate	VERB
ajst-4785	64	37	the	the	DET
ajst-4785	64	38	spatial	spatial	ADJ
ajst-4785	64	39	distribution	distribution	NOUN
ajst-4785	64	40	of	of	ADP
ajst-4785	64	41	pm2.5	pm2.5	DET
ajst-4785	64	42	concentrations	concentration	NOUN
ajst-4785	64	43	in	in	ADP
ajst-4785	64	44	beijing	beijing	PROPN
ajst-4785	64	45	,	,	PUNCT
ajst-4785	64	46	tianjin	tianjin	PROPN
ajst-4785	64	47	,	,	PUNCT
ajst-4785	64	48	and	and	CCONJ
ajst-4785	64	49	hebei	hebei	PROPN
ajst-4785	64	50	in	in	ADP
ajst-4785	64	51	2013	2013	NUM
ajst-4785	64	52	with	with	ADP
ajst-4785	64	53	a	a	DET
ajst-4785	64	54	cv	cv	PROPN
ajst-4785	64	55	r2	r2	NOUN
ajst-4785	64	56	of	of	ADP
ajst-4785	64	57	0.78	0.78	NUM
ajst-4785	64	58	.	.	PUNCT
ajst-4785	65	1	li	li	PROPN
ajst-4785	65	2	et	et	PROPN
ajst-4785	65	3	al	al	PROPN
ajst-4785	66	1	[	[	X
ajst-4785	66	2	40	40	NUM
ajst-4785	66	3	]	]	PUNCT
ajst-4785	66	4	established	establish	VERB
ajst-4785	66	5	the	the	DET
ajst-4785	66	6	relationship	relationship	NOUN
ajst-4785	66	7	between	between	ADP
ajst-4785	66	8	seasonal	seasonal	ADJ
ajst-4785	66	9	maiac	maiac	NOUN
ajst-4785	66	10	aod	aod	PROPN
ajst-4785	66	11	and	and	CCONJ
ajst-4785	66	12	measured	measure	VERB
ajst-4785	66	13	ground	ground	NOUN
ajst-4785	66	14	-	-	PUNCT
ajst-4785	66	15	level	level	NOUN
ajst-4785	66	16	pm2.5	pm2.5	PART
ajst-4785	66	17	concentrations	concentration	NOUN
ajst-4785	66	18	in	in	ADP
ajst-4785	66	19	beijing	beijing	PROPN
ajst-4785	66	20	and	and	CCONJ
ajst-4785	66	21	developed	develop	VERB
ajst-4785	66	22	seasonal	seasonal	ADJ
ajst-4785	66	23	lur	lur	PROPN
ajst-4785	66	24	model	model	NOUN
ajst-4785	66	25	,	,	PUNCT
ajst-4785	66	26	and	and	CCONJ
ajst-4785	66	27	the	the	DET
ajst-4785	66	28	results	result	NOUN
ajst-4785	66	29	showed	show	VERB
ajst-4785	66	30	that	that	SCONJ
ajst-4785	66	31	incorporating	incorporate	VERB
ajst-4785	66	32	aod	aod	NOUN
ajst-4785	66	33	into	into	ADP
ajst-4785	66	34	the	the	DET
ajst-4785	66	35	lur	lur	PROPN
ajst-4785	66	36	model	model	NOUN
ajst-4785	66	37	could	could	AUX
ajst-4785	66	38	improve	improve	VERB
ajst-4785	66	39	the	the	DET
ajst-4785	66	40	performance	performance	NOUN
ajst-4785	66	41	of	of	ADP
ajst-4785	66	42	the	the	DET
ajst-4785	66	43	model	model	NOUN
ajst-4785	66	44	in	in	ADP
ajst-4785	66	45	spring	spring	NOUN
ajst-4785	66	46	and	and	CCONJ
ajst-4785	66	47	provide	provide	VERB
ajst-4785	66	48	more	more	ADV
ajst-4785	66	49	reliable	reliable	ADJ
ajst-4785	66	50	results	result	NOUN
ajst-4785	66	51	during	during	ADP
ajst-4785	66	52	the	the	DET
ajst-4785	66	53	test	test	NOUN
ajst-4785	66	54	.	.	PUNCT
ajst-4785	67	1	the	the	DET
ajst-4785	67	2	above	above	ADJ
ajst-4785	67	3	approach	approach	NOUN
ajst-4785	67	4	neither	neither	PRON
ajst-4785	67	5	takes	take	VERB
ajst-4785	67	6	into	into	ADP
ajst-4785	67	7	account	account	NOUN
ajst-4785	67	8	the	the	DET
ajst-4785	67	9	time	time	NOUN
ajst-4785	67	10	-	-	PUNCT
ajst-4785	67	11	varying	vary	VERB
ajst-4785	67	12	nature	nature	NOUN
ajst-4785	67	13	of	of	ADP
ajst-4785	67	14	the	the	DET
ajst-4785	67	15	predictor	predictor	NOUN
ajst-4785	67	16	variables	variable	NOUN
ajst-4785	67	17	that	that	PRON
ajst-4785	67	18	shadow	shadow	VERB
ajst-4785	67	19	the	the	DET
ajst-4785	67	20	aod	aod	PROPN
ajst-4785	67	21	-	-	PUNCT
ajst-4785	67	22	pm2.5	pm2.5	PART
ajst-4785	67	23	correlation	correlation	NOUN
ajst-4785	67	24	nor	nor	CCONJ
ajst-4785	67	25	the	the	DET
ajst-4785	67	26	spatially	spatially	ADV
ajst-4785	67	27	nonconstant	nonconstant	ADJ
ajst-4785	67	28	nature	nature	NOUN
ajst-4785	67	29	of	of	ADP
ajst-4785	67	30	the	the	DET
ajst-4785	67	31	relationship.the	relationship.the	DET
ajst-4785	67	32	linear	linear	ADJ
ajst-4785	67	33	mixed	mixed	ADJ
ajst-4785	67	34	effects	effect	NOUN
ajst-4785	67	35	(	(	PUNCT
ajst-4785	67	36	lme	lme	NOUN
ajst-4785	67	37	)	)	PUNCT
ajst-4785	67	38	model	model	NOUN
ajst-4785	67	39	proposed	propose	VERB
ajst-4785	67	40	by	by	ADP
ajst-4785	67	41	lee	lee	PROPN
ajst-4785	67	42	et	et	PROPN
ajst-4785	67	43	al	al	PROPN
ajst-4785	68	1	[	[	X
ajst-4785	68	2	41	41	NUM
ajst-4785	68	3	]	]	PUNCT
ajst-4785	68	4	in	in	ADP
ajst-4785	68	5	2011	2011	NUM
ajst-4785	68	6	uses	use	VERB
ajst-4785	68	7	fixed	fix	VERB
ajst-4785	68	8	and	and	CCONJ
ajst-4785	68	9	random	random	ADJ
ajst-4785	68	10	slopes	slope	NOUN
ajst-4785	68	11	and	and	CCONJ
ajst-4785	68	12	intercepts	intercept	NOUN
ajst-4785	68	13	to	to	PART
ajst-4785	68	14	calibrate	calibrate	VERB
ajst-4785	68	15	the	the	DET
ajst-4785	68	16	predictor	predictor	NOUN
ajst-4785	68	17	variables	variable	NOUN
ajst-4785	68	18	to	to	PART
ajst-4785	68	19	establish	establish	VERB
ajst-4785	68	20	the	the	DET
ajst-4785	68	21	aod	aod	PROPN
ajst-4785	68	22	-	-	PUNCT
ajst-4785	68	23	pm2.5	pm2.5	PROPN
ajst-4785	68	24	relationship	relationship	NOUN
ajst-4785	68	25	(	(	PUNCT
ajst-4785	68	26	cv	cv	PROPN
ajst-4785	68	27	r2=0.92	r2=0.92	NOUN
ajst-4785	68	28	)	)	PUNCT
ajst-4785	68	29	.	.	PUNCT
ajst-4785	69	1	among	among	ADP
ajst-4785	69	2	them	they	PRON
ajst-4785	69	3	,	,	PUNCT
ajst-4785	69	4	the	the	DET
ajst-4785	69	5	random	random	ADJ
ajst-4785	69	6	effect	effect	NOUN
ajst-4785	69	7	reflects	reflect	VERB
ajst-4785	69	8	the	the	DET
ajst-4785	69	9	variation	variation	NOUN
ajst-4785	69	10	of	of	ADP
ajst-4785	69	11	the	the	DET
ajst-4785	69	12	variable	variable	NOUN
ajst-4785	69	13	with	with	ADP
ajst-4785	69	14	time	time	NOUN
ajst-4785	69	15	or	or	CCONJ
ajst-4785	69	16	monitoring	monitoring	NOUN
ajst-4785	69	17	stations	station	NOUN
ajst-4785	69	18	,	,	PUNCT
ajst-4785	69	19	and	and	CCONJ
ajst-4785	69	20	the	the	DET
ajst-4785	69	21	fixed	fix	VERB
ajst-4785	69	22	effect	effect	NOUN
ajst-4785	69	23	is	be	AUX
ajst-4785	69	24	the	the	DET
ajst-4785	69	25	average	average	ADJ
ajst-4785	69	26	effect	effect	NOUN
ajst-4785	69	27	of	of	ADP
ajst-4785	69	28	aod	aod	PROPN
ajst-4785	69	29	on	on	ADP
ajst-4785	69	30	pm2.5	pm2.5	PROPN
ajst-4785	69	31	,	,	PUNCT
ajst-4785	69	32	independent	independent	ADJ
ajst-4785	69	33	of	of	ADP
ajst-4785	69	34	the	the	DET
ajst-4785	69	35	variation	variation	NOUN
ajst-4785	69	36	of	of	ADP
ajst-4785	69	37	time	time	NOUN
ajst-4785	69	38	and	and	CCONJ
ajst-4785	69	39	monitoring	monitoring	NOUN
ajst-4785	69	40	stations	station	NOUN
ajst-4785	69	41	[	[	X
ajst-4785	69	42	42	42	NUM
ajst-4785	69	43	]	]	PUNCT
ajst-4785	69	44	.	.	PUNCT
ajst-4785	70	1	on	on	ADP
ajst-4785	70	2	this	this	DET
ajst-4785	70	3	basis	basis	NOUN
ajst-4785	70	4	,	,	PUNCT
ajst-4785	70	5	sun	sun	PROPN
ajst-4785	70	6	cheng	cheng	PROPN
ajst-4785	70	7	et	et	PROPN
ajst-4785	70	8	al	al	PROPN
ajst-4785	70	9	[	[	X
ajst-4785	70	10	43	43	NUM
ajst-4785	70	11	]	]	PUNCT
ajst-4785	70	12	developed	develop	VERB
ajst-4785	70	13	an	an	DET
ajst-4785	70	14	lme	lme	NOUN
ajst-4785	70	15	model	model	NOUN
ajst-4785	70	16	between	between	ADP
ajst-4785	70	17	pm2.5	pm2.5	PROPN
ajst-4785	70	18	data	datum	NOUN
ajst-4785	70	19	and	and	CCONJ
ajst-4785	70	20	modis	modis	PROPN
ajst-4785	70	21	aod	aod	PROPN
ajst-4785	70	22	,	,	PUNCT
ajst-4785	70	23	meteorological	meteorological	ADJ
ajst-4785	70	24	variables	variable	NOUN
ajst-4785	70	25	,	,	PUNCT
ajst-4785	70	26	and	and	CCONJ
ajst-4785	70	27	land	land	NOUN
ajst-4785	70	28	use	use	NOUN
ajst-4785	70	29	variables	variable	NOUN
ajst-4785	70	30	with	with	ADP
ajst-4785	70	31	a	a	DET
ajst-4785	70	32	cv	cv	PROPN
ajst-4785	70	33	r2	r2	NOUN
ajst-4785	70	34	of	of	ADP
ajst-4785	70	35	0.77	0.77	NUM
ajst-4785	70	36	.	.	PUNCT
ajst-4785	71	1	ma	ma	PROPN
ajst-4785	71	2	et	et	PROPN
ajst-4785	71	3	al	al	PROPN
ajst-4785	72	1	[	[	X
ajst-4785	72	2	44	44	NUM
ajst-4785	72	3	]	]	PUNCT
ajst-4785	72	4	proposed	propose	VERB
ajst-4785	72	5	a	a	DET
ajst-4785	72	6	nested	nested	ADJ
ajst-4785	72	7	lme	lme	NOUN
ajst-4785	72	8	model	model	NOUN
ajst-4785	72	9	,	,	PUNCT
ajst-4785	72	10	including	include	VERB
ajst-4785	72	11	nested	nest	VERB
ajst-4785	72	12	monthly	monthly	ADV
ajst-4785	72	13	,	,	PUNCT
ajst-4785	72	14	weekly	weekly	ADJ
ajst-4785	72	15	,	,	PUNCT
ajst-4785	72	16	and	and	CCONJ
ajst-4785	72	17	daily	daily	ADJ
ajst-4785	72	18	specific	specific	ADJ
ajst-4785	72	19	random	random	ADJ
ajst-4785	72	20	effects	effect	NOUN
ajst-4785	72	21	for	for	ADP
ajst-4785	72	22	the	the	DET
ajst-4785	72	23	aod	aod	PROPN
ajst-4785	72	24	-	-	PUNCT
ajst-4785	72	25	pm2.5	pm2.5	PART
ajst-4785	72	26	relationship	relationship	NOUN
ajst-4785	72	27	,	,	PUNCT
ajst-4785	72	28	to	to	PART
ajst-4785	72	29	estimate	estimate	VERB
ajst-4785	72	30	pm2.5	pm2.5	DET
ajst-4785	72	31	concentrations	concentration	NOUN
ajst-4785	72	32	in	in	ADP
ajst-4785	72	33	the	the	DET
ajst-4785	72	34	yangtze	yangtze	PROPN
ajst-4785	72	35	river	river	PROPN
ajst-4785	72	36	delta	delta	PROPN
ajst-4785	72	37	(	(	PUNCT
ajst-4785	72	38	cv	cv	PROPN
ajst-4785	72	39	r2=	r2=	PROPN
ajst-4785	72	40	0.67).kloog	0.67).kloog	X
ajst-4785	72	41	et	et	NOUN
ajst-4785	72	42	al	al	PROPN
ajst-4785	73	1	[	[	X
ajst-4785	73	2	45	45	NUM
ajst-4785	73	3	]	]	PUNCT
ajst-4785	73	4	proposed	propose	VERB
ajst-4785	73	5	a	a	DET
ajst-4785	73	6	three	three	NUM
ajst-4785	73	7	-	-	PUNCT
ajst-4785	73	8	stage	stage	NOUN
ajst-4785	73	9	lme	lme	NOUN
ajst-4785	73	10	model	model	NOUN
ajst-4785	73	11	and	and	CCONJ
ajst-4785	73	12	verified	verify	VERB
ajst-4785	73	13	the	the	DET
ajst-4785	73	14	feasibility	feasibility	NOUN
ajst-4785	73	15	in	in	ADP
ajst-4785	73	16	england	england	PROPN
ajst-4785	73	17	(	(	PUNCT
ajst-4785	73	18	cv	cv	PROPN
ajst-4785	73	19	r2=0.83).wang	r2=0.83).wang	PROPN
ajst-4785	73	20	et	et	PROPN
ajst-4785	73	21	al	al	PROPN
ajst-4785	74	1	[	[	X
ajst-4785	74	2	46	46	NUM
ajst-4785	74	3	]	]	PUNCT
ajst-4785	74	4	constructed	construct	VERB
ajst-4785	74	5	a	a	DET
ajst-4785	74	6	spatio	spatio	PROPN
ajst-4785	74	7	-	-	PUNCT
ajst-4785	74	8	temporal	temporal	ADJ
ajst-4785	74	9	linear	linear	ADJ
ajst-4785	74	10	mixed	mixed	ADJ
ajst-4785	74	11	effects	effect	NOUN
ajst-4785	74	12	(	(	PUNCT
ajst-4785	74	13	stlme	stlme	NOUN
ajst-4785	74	14	)	)	PUNCT
ajst-4785	74	15	model	model	NOUN
ajst-4785	74	16	based	base	VERB
ajst-4785	74	17	on	on	ADP
ajst-4785	74	18	ahiaod	ahiaod	NOUN
ajst-4785	74	19	to	to	PART
ajst-4785	74	20	estimate	estimate	VERB
ajst-4785	74	21	the	the	DET
ajst-4785	74	22	hourly	hourly	ADJ
ajst-4785	74	23	values	value	NOUN
ajst-4785	74	24	of	of	ADP
ajst-4785	74	25	pm2.5	pm2.5	DET
ajst-4785	74	26	concentrations	concentration	NOUN
ajst-4785	74	27	in	in	ADP
ajst-4785	74	28	the	the	DET
ajst-4785	74	29	beijing	beijing	PROPN
ajst-4785	74	30	-	-	PUNCT
ajst-4785	74	31	tianjin	tianjin	PROPN
ajst-4785	74	32	-	-	PUNCT
ajst-4785	74	33	hebei	hebei	PROPN
ajst-4785	74	34	region	region	NOUN
ajst-4785	74	35	in	in	ADP
ajst-4785	74	36	2018	2018	NUM
ajst-4785	74	37	(	(	PUNCT
ajst-4785	74	38	time	time	NOUN
ajst-4785	74	39	-	-	PUNCT
ajst-4785	74	40	dimensional	dimensional	ADJ
ajst-4785	74	41	cv	cv	PROPN
ajst-4785	74	42	r2=0.75	r2=0.75	PROPN
ajst-4785	74	43	,	,	PUNCT
ajst-4785	74	44	spatial	spatial	ADJ
ajst-4785	74	45	dimension	dimension	NOUN
ajst-4785	74	46	cv	cv	PROPN
ajst-4785	74	47	r2=0.83	r2=0.83	PROPN
ajst-4785	74	48	)	)	PUNCT
ajst-4785	74	49	.	.	PUNCT
ajst-4785	75	1	currently	currently	ADV
ajst-4785	75	2	,	,	PUNCT
ajst-4785	75	3	many	many	ADJ
ajst-4785	75	4	studies	study	NOUN
ajst-4785	75	5	still	still	ADV
ajst-4785	75	6	use	use	VERB
ajst-4785	75	7	the	the	DET
ajst-4785	75	8	lme	lme	NOUN
ajst-4785	75	9	model	model	NOUN
ajst-4785	75	10	to	to	PART
ajst-4785	75	11	estimate	estimate	VERB
ajst-4785	75	12	pm2.5	pm2.5	DET
ajst-4785	75	13	concentrations	concentration	NOUN
ajst-4785	75	14	,	,	PUNCT
ajst-4785	75	15	but	but	CCONJ
ajst-4785	75	16	often	often	ADV
ajst-4785	75	17	add	add	VERB
ajst-4785	75	18	the	the	DET
ajst-4785	75	19	aod	aod	PROPN
ajst-4785	75	20	complementary	complementary	ADJ
ajst-4785	75	21	model	model	NOUN
ajst-4785	75	22	or	or	CCONJ
ajst-4785	75	23	more	more	ADJ
ajst-4785	75	24	models	model	NOUN
ajst-4785	75	25	to	to	PART
ajst-4785	75	26	improve	improve	VERB
ajst-4785	75	27	the	the	DET
ajst-4785	75	28	estimation	estimation	NOUN
ajst-4785	75	29	accuracy.brunsdon	accuracy.brunsdon	NUM
ajst-4785	75	30	et	et	NOUN
ajst-4785	75	31	al	al	PROPN
ajst-4785	76	1	[	[	X
ajst-4785	76	2	47	47	NUM
ajst-4785	76	3	]	]	PUNCT
ajst-4785	76	4	based	base	VERB
ajst-4785	76	5	on	on	ADP
ajst-4785	76	6	the	the	DET
ajst-4785	76	7	assumption	assumption	NOUN
ajst-4785	76	8	that	that	SCONJ
ajst-4785	76	9	"	"	PUNCT
ajst-4785	76	10	the	the	DET
ajst-4785	76	11	regression	regression	NOUN
ajst-4785	76	12	coefficients	coefficient	NOUN
ajst-4785	76	13	are	be	AUX
ajst-4785	76	14	a	a	DET
ajst-4785	76	15	function	function	NOUN
ajst-4785	76	16	of	of	ADP
ajst-4785	76	17	the	the	DET
ajst-4785	76	18	spatial	spatial	ADJ
ajst-4785	76	19	location	location	NOUN
ajst-4785	76	20	of	of	ADP
ajst-4785	76	21	the	the	DET
ajst-4785	76	22	observation	observation	NOUN
ajst-4785	76	23	points	point	NOUN
ajst-4785	76	24	in	in	ADP
ajst-4785	76	25	the	the	DET
ajst-4785	76	26	linear	linear	ADJ
ajst-4785	76	27	regression	regression	NOUN
ajst-4785	76	28	"	"	PUNCT
ajst-4785	76	29	and	and	CCONJ
ajst-4785	76	30	assign	assign	VERB
ajst-4785	76	31	spatial	spatial	ADJ
ajst-4785	76	32	weights	weight	NOUN
ajst-4785	76	33	based	base	VERB
ajst-4785	76	34	on	on	ADP
ajst-4785	76	35	the	the	DET
ajst-4785	76	36	distance	distance	NOUN
ajst-4785	76	37	between	between	ADP
ajst-4785	76	38	observation	observation	NOUN
ajst-4785	76	39	points	point	NOUN
ajst-4785	76	40	.	.	PUNCT
ajst-4785	77	1	hu	hu	PROPN
ajst-4785	77	2	et	et	PROPN
ajst-4785	77	3	al	al	PROPN
ajst-4785	77	4	.	.	PUNCT
ajst-4785	78	1	[	[	X
ajst-4785	78	2	48	48	NUM
ajst-4785	78	3	]	]	PUNCT
ajst-4785	78	4	introduced	introduce	VERB
ajst-4785	78	5	aod	aod	PROPN
ajst-4785	78	6	into	into	ADP
ajst-4785	78	7	gwr	gwr	PROPN
ajst-4785	78	8	and	and	CCONJ
ajst-4785	78	9	performed	perform	VERB
ajst-4785	78	10	the	the	DET
ajst-4785	78	11	estimation	estimation	NOUN
ajst-4785	78	12	of	of	ADP
ajst-4785	78	13	pm2.5	pm2.5	DET
ajst-4785	78	14	concentration	concentration	NOUN
ajst-4785	78	15	in	in	ADP
ajst-4785	78	16	the	the	DET
ajst-4785	78	17	united	united	PROPN
ajst-4785	78	18	states	states	PROPN
ajst-4785	78	19	.	.	PUNCT
ajst-4785	79	1	later	later	ADV
ajst-4785	79	2	,	,	PUNCT
ajst-4785	79	3	ma	ma	PROPN
ajst-4785	79	4	et	et	PROPN
ajst-4785	79	5	al	al	PROPN
ajst-4785	80	1	[	[	X
ajst-4785	80	2	49	49	NUM
ajst-4785	80	3	]	]	PUNCT
ajst-4785	80	4	proposed	propose	VERB
ajst-4785	80	5	a	a	DET
ajst-4785	80	6	daily	daily	ADJ
ajst-4785	80	7	gwr	gwr	PROPN
ajst-4785	80	8	model	model	NOUN
ajst-4785	80	9	and	and	CCONJ
ajst-4785	80	10	confirmed	confirm	VERB
ajst-4785	80	11	that	that	SCONJ
ajst-4785	80	12	adding	add	VERB
ajst-4785	80	13	meteorological	meteorological	ADJ
ajst-4785	80	14	and	and	CCONJ
ajst-4785	80	15	land	land	NOUN
ajst-4785	80	16	use	use	NOUN
ajst-4785	80	17	information	information	NOUN
ajst-4785	80	18	to	to	ADP
ajst-4785	80	19	the	the	DET
ajst-4785	80	20	model	model	NOUN
ajst-4785	80	21	could	could	AUX
ajst-4785	80	22	greatly	greatly	ADV
ajst-4785	80	23	improve	improve	VERB
ajst-4785	80	24	the	the	DET
ajst-4785	80	25	model	model	NOUN
ajst-4785	80	26	performance	performance	NOUN
ajst-4785	80	27	.	.	PUNCT
ajst-4785	81	1	based	base	VERB
ajst-4785	81	2	on	on	ADP
ajst-4785	81	3	this	this	PRON
ajst-4785	81	4	,	,	PUNCT
ajst-4785	81	5	to	to	PART
ajst-4785	81	6	better	well	ADV
ajst-4785	81	7	capture	capture	VERB
ajst-4785	81	8	both	both	CCONJ
ajst-4785	81	9	spatial	spatial	ADJ
ajst-4785	81	10	and	and	CCONJ
ajst-4785	81	11	temporal	temporal	ADJ
ajst-4785	81	12	heterogeneity	heterogeneity	NOUN
ajst-4785	81	13	,	,	PUNCT
ajst-4785	81	14	bai	bai	PROPN
ajst-4785	81	15	et	et	PROPN
ajst-4785	81	16	al	al	PROPN
ajst-4785	82	1	[	[	X
ajst-4785	82	2	50	50	NUM
ajst-4785	82	3	]	]	PUNCT
ajst-4785	82	4	proposed	propose	VERB
ajst-4785	82	5	a	a	DET
ajst-4785	82	6	geo	geo	PROPN
ajst-4785	82	7	-	-	PUNCT
ajst-4785	82	8	temporally	temporally	ADV
ajst-4785	82	9	weighted	weight	VERB
ajst-4785	82	10	regression	regression	NOUN
ajst-4785	82	11	model	model	NOUN
ajst-4785	82	12	(	(	PUNCT
ajst-4785	82	13	gtwr	gtwr	PROPN
ajst-4785	82	14	)	)	PUNCT
ajst-4785	82	15	and	and	CCONJ
ajst-4785	82	16	confirmed	confirm	VERB
ajst-4785	82	17	that	that	SCONJ
ajst-4785	82	18	it	it	PRON
ajst-4785	82	19	has	have	VERB
ajst-4785	82	20	better	well	ADJ
ajst-4785	82	21	performance	performance	NOUN
ajst-4785	82	22	than	than	ADP
ajst-4785	82	23	a	a	DET
ajst-4785	82	24	54	54	NUM
ajst-4785	82	25	single	single	ADJ
ajst-4785	82	26	gwr	gwr	PROPN
ajst-4785	82	27	model	model	NOUN
ajst-4785	82	28	.	.	PUNCT
ajst-4785	83	1	to	to	PART
ajst-4785	83	2	better	well	ADV
ajst-4785	83	3	estimate	estimate	VERB
ajst-4785	83	4	pm2.5	pm2.5	DET
ajst-4785	83	5	concentrations	concentration	NOUN
ajst-4785	83	6	in	in	ADP
ajst-4785	83	7	the	the	DET
ajst-4785	83	8	absence	absence	NOUN
ajst-4785	83	9	of	of	ADP
ajst-4785	83	10	aod	aod	PROPN
ajst-4785	83	11	,	,	PUNCT
ajst-4785	83	12	he	he	PRON
ajst-4785	83	13	et	et	VERB
ajst-4785	83	14	al	al	PROPN
ajst-4785	84	1	[	[	X
ajst-4785	84	2	51	51	NUM
ajst-4785	84	3	]	]	PUNCT
ajst-4785	84	4	developed	develop	VERB
ajst-4785	84	5	an	an	DET
ajst-4785	84	6	improved	improved	ADJ
ajst-4785	84	7	geographic	geographic	ADJ
ajst-4785	84	8	and	and	CCONJ
ajst-4785	84	9	time	time	NOUN
ajst-4785	84	10	-	-	PUNCT
ajst-4785	84	11	weighted	weight	VERB
ajst-4785	84	12	regression	regression	NOUN
ajst-4785	84	13	model	model	NOUN
ajst-4785	84	14	(	(	PUNCT
ajst-4785	84	15	igtwr	igtwr	PROPN
ajst-4785	84	16	)	)	PUNCT
ajst-4785	84	17	that	that	PRON
ajst-4785	84	18	incorporates	incorporate	VERB
ajst-4785	84	19	seasonal	seasonal	ADJ
ajst-4785	84	20	features	feature	NOUN
ajst-4785	84	21	in	in	ADP
ajst-4785	84	22	the	the	DET
ajst-4785	84	23	data	datum	NOUN
ajst-4785	84	24	and	and	CCONJ
ajst-4785	84	25	achieves	achieve	VERB
ajst-4785	84	26	comparable	comparable	ADJ
ajst-4785	84	27	performance	performance	NOUN
ajst-4785	84	28	to	to	ADP
ajst-4785	84	29	the	the	DET
ajst-4785	84	30	standard	standard	ADJ
ajst-4785	84	31	gtwr	gtwr	NOUN
ajst-4785	84	32	model	model	NOUN
ajst-4785	84	33	for	for	ADP
ajst-4785	84	34	days	day	NOUN
ajst-4785	84	35	with	with	ADP
ajst-4785	84	36	paired	pair	VERB
ajst-4785	84	37	pm2.5	pm2.5	PROPN
ajst-4785	84	38	-	-	PUNCT
ajst-4785	84	39	aod	aod	NOUN
ajst-4785	84	40	samples	sample	NOUN
ajst-4785	84	41	,	,	PUNCT
ajst-4785	84	42	and	and	CCONJ
ajst-4785	84	43	for	for	ADP
ajst-4785	84	44	days	day	NOUN
ajst-4785	84	45	without	without	ADP
ajst-4785	84	46	pm2.5	pm2.5	PROPN
ajst-4785	84	47	-	-	PUNCT
ajst-4785	84	48	aod	aod	NOUN
ajst-4785	84	49	data	datum	NOUN
ajst-4785	84	50	pairs	pair	NOUN
ajst-4785	84	51	showed	show	VERB
ajst-4785	84	52	better	well	ADJ
ajst-4785	84	53	predictive	predictive	ADJ
ajst-4785	84	54	power	power	NOUN
ajst-4785	84	55	.	.	PUNCT
ajst-4785	85	1	meanwhile	meanwhile	ADV
ajst-4785	85	2	,	,	PUNCT
ajst-4785	85	3	he	he	PRON
ajst-4785	85	4	et	et	VERB
ajst-4785	85	5	al	al	PROPN
ajst-4785	86	1	[	[	X
ajst-4785	86	2	52	52	NUM
ajst-4785	86	3	]	]	PUNCT
ajst-4785	86	4	developed	develop	VERB
ajst-4785	86	5	another	another	DET
ajst-4785	86	6	spatio	spatio	ADJ
ajst-4785	86	7	-	-	PUNCT
ajst-4785	86	8	temporal	temporal	ADJ
ajst-4785	86	9	regression	regression	NOUN
ajst-4785	86	10	model	model	NOUN
ajst-4785	86	11	for	for	ADP
ajst-4785	86	12	estimating	estimate	VERB
ajst-4785	86	13	daily	daily	ADJ
ajst-4785	86	14	pm2.5	pm2.5	ADJ
ajst-4785	86	15	concentrations	concentration	NOUN
ajst-4785	86	16	in	in	ADP
ajst-4785	86	17	combination	combination	NOUN
ajst-4785	86	18	with	with	ADP
ajst-4785	86	19	the	the	DET
ajst-4785	86	20	interior	interior	ADJ
ajst-4785	86	21	point	point	NOUN
ajst-4785	86	22	algorithm	algorithm	NOUN
ajst-4785	86	23	(	(	PUNCT
ajst-4785	86	24	ipa	ipa	PROPN
ajst-4785	86	25	)	)	PUNCT
ajst-4785	86	26	,	,	PUNCT
ajst-4785	86	27	which	which	PRON
ajst-4785	86	28	achieved	achieve	VERB
ajst-4785	86	29	good	good	ADJ
ajst-4785	86	30	validation	validation	NOUN
ajst-4785	86	31	(	(	PUNCT
ajst-4785	86	32	cv	cv	PROPN
ajst-4785	86	33	r2	r2	PROPN
ajst-4785	86	34	=	=	PROPN
ajst-4785	86	35	0.80	0.80	NUM
ajst-4785	86	36	)	)	PUNCT
ajst-4785	86	37	.	.	PUNCT
ajst-4785	87	1	in	in	ADP
ajst-4785	87	2	addition	addition	NOUN
ajst-4785	87	3	,	,	PUNCT
ajst-4785	87	4	adding	add	VERB
ajst-4785	87	5	interaction	interaction	NOUN
ajst-4785	87	6	terms	term	NOUN
ajst-4785	87	7	(	(	PUNCT
ajst-4785	87	8	quadratic	quadratic	ADJ
ajst-4785	87	9	terms	term	NOUN
ajst-4785	87	10	)	)	PUNCT
ajst-4785	87	11	to	to	ADP
ajst-4785	87	12	the	the	DET
ajst-4785	87	13	gtwr	gtwr	NOUN
ajst-4785	87	14	model	model	NOUN
ajst-4785	87	15	can	can	AUX
ajst-4785	87	16	better	well	ADV
ajst-4785	87	17	describe	describe	VERB
ajst-4785	87	18	the	the	DET
ajst-4785	87	19	nonlinear	nonlinear	ADJ
ajst-4785	87	20	effects	effect	NOUN
ajst-4785	87	21	[	[	X
ajst-4785	87	22	53	53	NUM
ajst-4785	87	23	]	]	PUNCT
ajst-4785	87	24	.	.	PUNCT
ajst-4785	88	1	in	in	ADP
ajst-4785	88	2	addition	addition	NOUN
ajst-4785	88	3	to	to	ADP
ajst-4785	88	4	the	the	DET
ajst-4785	88	5	models	model	NOUN
ajst-4785	88	6	mentioned	mention	VERB
ajst-4785	88	7	above	above	ADV
ajst-4785	88	8	,	,	PUNCT
ajst-4785	88	9	other	other	ADJ
ajst-4785	88	10	studies	study	NOUN
ajst-4785	88	11	have	have	AUX
ajst-4785	88	12	used	use	VERB
ajst-4785	88	13	generalized	generalized	ADJ
ajst-4785	88	14	summation	summation	NOUN
ajst-4785	88	15	(	(	PUNCT
ajst-4785	88	16	gam	gam	NOUN
ajst-4785	88	17	)	)	PUNCT
ajst-4785	88	18	models	model	NOUN
ajst-4785	88	19	[	[	X
ajst-4785	88	20	54	54	NUM
ajst-4785	88	21	-	-	SYM
ajst-4785	88	22	55	55	NUM
ajst-4785	88	23	]	]	PUNCT
ajst-4785	88	24	,	,	PUNCT
ajst-4785	88	25	kriging	krige	VERB
ajst-4785	88	26	methods	method	NOUN
ajst-4785	88	27	[	[	X
ajst-4785	88	28	56	56	NUM
ajst-4785	88	29	]	]	PUNCT
ajst-4785	88	30	,	,	PUNCT
ajst-4785	88	31	or	or	CCONJ
ajst-4785	88	32	nonlinear	nonlinear	ADJ
ajst-4785	88	33	regression	regression	NOUN
ajst-4785	88	34	models	model	NOUN
ajst-4785	88	35	.	.	PUNCT
ajst-4785	89	1	all	all	DET
ajst-4785	89	2	these	these	DET
ajst-4785	89	3	pm2.5	pm2.5	ADJ
ajst-4785	89	4	estimation	estimation	NOUN
ajst-4785	89	5	models	model	NOUN
ajst-4785	89	6	use	use	VERB
ajst-4785	89	7	aod	aod	NOUN
ajst-4785	89	8	as	as	ADP
ajst-4785	89	9	the	the	DET
ajst-4785	89	10	main	main	ADJ
ajst-4785	89	11	independent	independent	ADJ
ajst-4785	89	12	variable	variable	NOUN
ajst-4785	89	13	,	,	PUNCT
ajst-4785	89	14	the	the	DET
ajst-4785	89	15	predictability	predictability	NOUN
ajst-4785	89	16	of	of	ADP
ajst-4785	89	17	the	the	DET
ajst-4785	89	18	models	model	NOUN
ajst-4785	89	19	is	be	AUX
ajst-4785	89	20	limited	limited	ADJ
ajst-4785	89	21	,	,	PUNCT
ajst-4785	89	22	their	their	PRON
ajst-4785	89	23	r2	r2	NOUN
ajst-4785	89	24	is	be	AUX
ajst-4785	89	25	generally	generally	ADV
ajst-4785	89	26	low	low	ADJ
ajst-4785	89	27	,	,	PUNCT
ajst-4785	89	28	and	and	CCONJ
ajst-4785	89	29	there	there	PRON
ajst-4785	89	30	are	be	VERB
ajst-4785	89	31	differences	difference	NOUN
ajst-4785	89	32	between	between	ADP
ajst-4785	89	33	regions	region	NOUN
ajst-4785	89	34	.	.	PUNCT
ajst-4785	90	1	however	however	ADV
ajst-4785	90	2	,	,	PUNCT
ajst-4785	90	3	these	these	DET
ajst-4785	90	4	models	model	NOUN
ajst-4785	90	5	have	have	AUX
ajst-4785	90	6	been	be	AUX
ajst-4785	90	7	gradually	gradually	ADV
ajst-4785	90	8	optimized	optimize	VERB
ajst-4785	90	9	or	or	CCONJ
ajst-4785	90	10	integrated	integrate	VERB
ajst-4785	90	11	into	into	ADP
ajst-4785	90	12	other	other	ADJ
ajst-4785	90	13	models	model	NOUN
ajst-4785	90	14	.	.	PUNCT
ajst-4785	91	1	4.2	4.2	NUM
ajst-4785	91	2	.	.	PUNCT
ajst-4785	91	3	machine	machine	NOUN
ajst-4785	91	4	learning	learning	NOUN
ajst-4785	91	5	models	model	NOUN
ajst-4785	91	6	machine	machine	NOUN
ajst-4785	91	7	learning	learning	NOUN
ajst-4785	91	8	models	model	NOUN
ajst-4785	91	9	,	,	PUNCT
ajst-4785	91	10	with	with	ADP
ajst-4785	91	11	their	their	PRON
ajst-4785	91	12	powerful	powerful	ADJ
ajst-4785	91	13	ability	ability	NOUN
ajst-4785	91	14	to	to	PART
ajst-4785	91	15	handle	handle	VERB
ajst-4785	91	16	complex	complex	ADJ
ajst-4785	91	17	nonlinear	nonlinear	ADJ
ajst-4785	91	18	relationships	relationship	NOUN
ajst-4785	91	19	among	among	ADP
ajst-4785	91	20	various	various	ADJ
ajst-4785	91	21	interacting	interact	VERB
ajst-4785	91	22	variables	variable	NOUN
ajst-4785	91	23	and	and	CCONJ
ajst-4785	91	24	to	to	PART
ajst-4785	91	25	accommodate	accommodate	VERB
ajst-4785	91	26	growing	grow	VERB
ajst-4785	91	27	data	datum	NOUN
ajst-4785	91	28	sizes	size	NOUN
ajst-4785	91	29	and	and	CCONJ
ajst-4785	91	30	predictor	predictor	NOUN
ajst-4785	91	31	variables	variable	NOUN
ajst-4785	91	32	[	[	X
ajst-4785	91	33	57	57	NUM
ajst-4785	91	34	-	-	SYM
ajst-4785	91	35	58	58	NUM
ajst-4785	91	36	]	]	PUNCT
ajst-4785	91	37	,	,	PUNCT
ajst-4785	91	38	are	be	AUX
ajst-4785	91	39	widely	widely	ADV
ajst-4785	91	40	applied	apply	VERB
ajst-4785	91	41	to	to	PART
ajst-4785	91	42	estimate	estimate	VERB
ajst-4785	91	43	near	near	ADP
ajst-4785	91	44	-	-	PUNCT
ajst-4785	91	45	ground	ground	NOUN
ajst-4785	91	46	pm2.5	pm2.5	ADJ
ajst-4785	91	47	concentrations	concentration	NOUN
ajst-4785	91	48	.	.	PUNCT
ajst-4785	92	1	there	there	PRON
ajst-4785	92	2	are	be	VERB
ajst-4785	92	3	three	three	NUM
ajst-4785	92	4	main	main	ADJ
ajst-4785	92	5	types	type	NOUN
ajst-4785	92	6	of	of	ADP
ajst-4785	92	7	machine	machine	NOUN
ajst-4785	92	8	learning	learning	NOUN
ajst-4785	92	9	models	model	NOUN
ajst-4785	92	10	,	,	PUNCT
ajst-4785	92	11	which	which	PRON
ajst-4785	92	12	are	be	AUX
ajst-4785	92	13	decision	decision	NOUN
ajst-4785	92	14	treetype	treetype	NOUN
ajst-4785	92	15	models	model	NOUN
ajst-4785	92	16	,	,	PUNCT
ajst-4785	92	17	kernel	kernel	NOUN
ajst-4785	92	18	-	-	PUNCT
ajst-4785	92	19	type	type	NOUN
ajst-4785	92	20	models	model	NOUN
ajst-4785	92	21	,	,	PUNCT
ajst-4785	92	22	and	and	CCONJ
ajst-4785	92	23	neural	neural	ADJ
ajst-4785	92	24	network	network	NOUN
ajst-4785	92	25	-	-	PUNCT
ajst-4785	92	26	type	type	NOUN
ajst-4785	92	27	models	model	NOUN
ajst-4785	92	28	.	.	PUNCT
ajst-4785	93	1	among	among	ADP
ajst-4785	93	2	the	the	DET
ajst-4785	93	3	decision	decision	NOUN
ajst-4785	93	4	tree	tree	NOUN
ajst-4785	93	5	class	class	NOUN
ajst-4785	93	6	models	model	NOUN
ajst-4785	93	7	,	,	PUNCT
ajst-4785	93	8	the	the	DET
ajst-4785	93	9	more	more	ADV
ajst-4785	93	10	popular	popular	ADJ
ajst-4785	93	11	models	model	NOUN
ajst-4785	93	12	:	:	PUNCT
ajst-4785	93	13	random	random	ADJ
ajst-4785	93	14	forest	forest	NOUN
ajst-4785	93	15	(	(	PUNCT
ajst-4785	93	16	rf	rf	NOUN
ajst-4785	93	17	)	)	PUNCT
ajst-4785	93	18	,	,	PUNCT
ajst-4785	93	19	gradient	gradient	NOUN
ajst-4785	93	20	boosting	boost	VERB
ajst-4785	93	21	decision	decision	NOUN
ajst-4785	93	22	tree	tree	NOUN
ajst-4785	93	23	(	(	PUNCT
ajst-4785	93	24	gbdt	gbdt	PROPN
ajst-4785	93	25	)	)	PUNCT
ajst-4785	93	26	,	,	PUNCT
ajst-4785	93	27	gradient	gradient	NOUN
ajst-4785	93	28	boosting	boost	VERB
ajst-4785	93	29	machine	machine	NOUN
ajst-4785	93	30	(	(	PUNCT
ajst-4785	93	31	gbm	gbm	NOUN
ajst-4785	93	32	)	)	PUNCT
ajst-4785	93	33	,	,	PUNCT
ajst-4785	93	34	and	and	CCONJ
ajst-4785	93	35	extreme	extreme	ADJ
ajst-4785	93	36	gradient	gradient	NOUN
ajst-4785	93	37	boosting	boost	VERB
ajst-4785	93	38	(	(	PUNCT
ajst-4785	93	39	xgb).wei	xgb).wei	X
ajst-4785	93	40	et	et	PROPN
ajst-4785	93	41	al	al	PROPN
ajst-4785	94	1	[	[	X
ajst-4785	94	2	59	59	NUM
ajst-4785	94	3	]	]	PUNCT
ajst-4785	94	4	developed	develop	VERB
ajst-4785	94	5	a	a	DET
ajst-4785	94	6	spatiotemporal	spatiotemporal	ADJ
ajst-4785	94	7	random	random	ADJ
ajst-4785	94	8	forest	forest	NOUN
ajst-4785	94	9	(	(	PUNCT
ajst-4785	94	10	strf	strf	NOUN
ajst-4785	94	11	)	)	PUNCT
ajst-4785	94	12	model	model	NOUN
ajst-4785	94	13	to	to	PART
ajst-4785	94	14	estimate	estimate	VERB
ajst-4785	94	15	daily	daily	ADJ
ajst-4785	95	1	pm2.5	pm2.5	ADJ
ajst-4785	95	2	concentrations	concentration	NOUN
ajst-4785	95	3	at	at	ADP
ajst-4785	95	4	1	1	NUM
ajst-4785	95	5	km	km	NOUN
ajst-4785	95	6	resolution	resolution	NOUN
ajst-4785	95	7	in	in	ADP
ajst-4785	95	8	china	china	PROPN
ajst-4785	95	9	in	in	ADP
ajst-4785	95	10	2016	2016	NUM
ajst-4785	96	1	and	and	CCONJ
ajst-4785	96	2	confirmed	confirm	VERB
ajst-4785	96	3	that	that	SCONJ
ajst-4785	96	4	it	it	PRON
ajst-4785	96	5	outperformed	outperform	VERB
ajst-4785	96	6	some	some	DET
ajst-4785	96	7	statistical	statistical	ADJ
ajst-4785	96	8	regression	regression	NOUN
ajst-4785	96	9	models	model	NOUN
ajst-4785	96	10	(	(	PUNCT
ajst-4785	96	11	mlr	mlr	PROPN
ajst-4785	96	12	,	,	PUNCT
ajst-4785	96	13	gwr	gwr	PROPN
ajst-4785	96	14	,	,	PUNCT
ajst-4785	96	15	and	and	CCONJ
ajst-4785	96	16	lme+gwr	lme+gwr	PROPN
ajst-4785	96	17	)	)	PUNCT
ajst-4785	96	18	.	.	PUNCT
ajst-4785	97	1	currently	currently	ADV
ajst-4785	97	2	,	,	PUNCT
ajst-4785	97	3	studies	study	NOUN
ajst-4785	97	4	using	use	VERB
ajst-4785	97	5	rf	rf	ADJ
ajst-4785	97	6	models	model	NOUN
ajst-4785	97	7	and	and	CCONJ
ajst-4785	97	8	improved	improved	ADJ
ajst-4785	97	9	models	model	NOUN
ajst-4785	97	10	for	for	ADP
ajst-4785	97	11	pm2.5	pm2.5	ADJ
ajst-4785	97	12	concentration	concentration	NOUN
ajst-4785	97	13	estimation	estimation	NOUN
ajst-4785	97	14	continue	continue	VERB
ajst-4785	97	15	to	to	PART
ajst-4785	97	16	increase	increase	VERB
ajst-4785	97	17	[	[	X
ajst-4785	97	18	60,6163].gbdt	60,6163].gbdt	NOUN
ajst-4785	97	19	shows	show	VERB
ajst-4785	97	20	greater	great	ADJ
ajst-4785	97	21	robustness	robustness	NOUN
ajst-4785	97	22	and	and	CCONJ
ajst-4785	97	23	generalization	generalization	NOUN
ajst-4785	97	24	ability	ability	NOUN
ajst-4785	97	25	than	than	ADP
ajst-4785	97	26	rf	rf	NOUN
ajst-4785	97	27	models	model	NOUN
ajst-4785	97	28	when	when	SCONJ
ajst-4785	97	29	dealing	deal	VERB
ajst-4785	97	30	with	with	ADP
ajst-4785	97	31	complex	complex	ADJ
ajst-4785	97	32	variables	variable	NOUN
ajst-4785	97	33	of	of	ADP
ajst-4785	97	34	interest	interest	NOUN
ajst-4785	97	35	[	[	X
ajst-4785	97	36	57	57	NUM
ajst-4785	97	37	]	]	PUNCT
ajst-4785	97	38	.	.	PUNCT
ajst-4785	98	1	in	in	ADP
ajst-4785	98	2	addition	addition	NOUN
ajst-4785	98	3	,	,	PUNCT
ajst-4785	98	4	gbm	gbm	PROPN
ajst-4785	98	5	and	and	CCONJ
ajst-4785	98	6	xgb	xgb	NOUN
ajst-4785	98	7	are	be	AUX
ajst-4785	98	8	representative	representative	ADJ
ajst-4785	98	9	boosting	boost	VERB
ajst-4785	98	10	methods	method	NOUN
ajst-4785	98	11	with	with	ADP
ajst-4785	98	12	the	the	DET
ajst-4785	98	13	advantage	advantage	NOUN
ajst-4785	98	14	of	of	ADP
ajst-4785	98	15	reducing	reduce	VERB
ajst-4785	98	16	model	model	NOUN
ajst-4785	98	17	bias	bias	NOUN
ajst-4785	98	18	and	and	CCONJ
ajst-4785	98	19	variance	variance	NOUN
ajst-4785	98	20	,	,	PUNCT
ajst-4785	98	21	but	but	CCONJ
ajst-4785	98	22	both	both	DET
ajst-4785	98	23	methods	method	NOUN
ajst-4785	98	24	suffer	suffer	VERB
ajst-4785	98	25	from	from	ADP
ajst-4785	98	26	overfitting	overfitte	VERB
ajst-4785	98	27	problems	problem	NOUN
ajst-4785	98	28	and	and	CCONJ
ajst-4785	98	29	require	require	VERB
ajst-4785	98	30	adjustment	adjustment	NOUN
ajst-4785	98	31	of	of	ADP
ajst-4785	98	32	model	model	NOUN
ajst-4785	98	33	parameters	parameter	NOUN
ajst-4785	98	34	[	[	X
ajst-4785	98	35	64	64	NUM
ajst-4785	98	36	]	]	PUNCT
ajst-4785	98	37	.	.	PUNCT
ajst-4785	99	1	support	support	NOUN
ajst-4785	99	2	vector	vector	NOUN
ajst-4785	99	3	machines	machine	NOUN
ajst-4785	99	4	(	(	PUNCT
ajst-4785	99	5	svms	svms	NOUN
ajst-4785	99	6	)	)	PUNCT
ajst-4785	99	7	based	base	VERB
ajst-4785	99	8	on	on	ADP
ajst-4785	99	9	machine	machine	NOUN
ajst-4785	99	10	learning	learning	NOUN
ajst-4785	99	11	and	and	CCONJ
ajst-4785	99	12	generalization	generalization	NOUN
ajst-4785	99	13	theory	theory	NOUN
ajst-4785	99	14	are	be	AUX
ajst-4785	99	15	representative	representative	ADJ
ajst-4785	99	16	algorithms	algorithm	NOUN
ajst-4785	99	17	that	that	PRON
ajst-4785	99	18	use	use	VERB
ajst-4785	99	19	kernel	kernel	NOUN
ajst-4785	99	20	class	class	NOUN
ajst-4785	99	21	models	model	NOUN
ajst-4785	99	22	.	.	PUNCT
ajst-4785	100	1	it	it	PRON
ajst-4785	100	2	has	have	VERB
ajst-4785	100	3	better	well	ADJ
ajst-4785	100	4	performance	performance	NOUN
ajst-4785	100	5	compared	compare	VERB
ajst-4785	100	6	to	to	ADP
ajst-4785	100	7	other	other	ADJ
ajst-4785	100	8	machine	machine	NOUN
ajst-4785	100	9	learning	learning	NOUN
ajst-4785	100	10	models	model	NOUN
ajst-4785	100	11	[	[	X
ajst-4785	100	12	6566	6566	NUM
ajst-4785	100	13	]	]	PUNCT
ajst-4785	100	14	.	.	PUNCT
ajst-4785	101	1	in	in	ADP
ajst-4785	101	2	addition	addition	NOUN
ajst-4785	101	3	,	,	PUNCT
ajst-4785	101	4	there	there	PRON
ajst-4785	101	5	are	be	VERB
ajst-4785	101	6	studies	study	NOUN
ajst-4785	101	7	that	that	PRON
ajst-4785	101	8	optimize	optimize	VERB
ajst-4785	101	9	svms	svms	NOUN
ajst-4785	101	10	or	or	CCONJ
ajst-4785	101	11	integrate	integrate	VERB
ajst-4785	101	12	them	they	PRON
ajst-4785	101	13	into	into	ADP
ajst-4785	101	14	other	other	ADJ
ajst-4785	101	15	models	model	NOUN
ajst-4785	101	16	.	.	PUNCT
ajst-4785	102	1	for	for	ADP
ajst-4785	102	2	example	example	NOUN
ajst-4785	102	3	,	,	PUNCT
ajst-4785	102	4	hou	hou	PROPN
ajst-4785	102	5	et	et	PROPN
ajst-4785	102	6	al	al	PROPN
ajst-4785	102	7	[	[	X
ajst-4785	102	8	67	67	NUM
ajst-4785	102	9	]	]	PUNCT
ajst-4785	102	10	developed	develop	VERB
ajst-4785	102	11	a	a	DET
ajst-4785	102	12	continuous	continuous	ADJ
ajst-4785	102	13	super	super	ADJ
ajst-4785	102	14	-	-	ADJ
ajst-4785	102	15	relaxed	relaxed	ADJ
ajst-4785	102	16	support	support	NOUN
ajst-4785	102	17	vector	vector	NOUN
ajst-4785	102	18	regression	regression	NOUN
ajst-4785	102	19	(	(	PUNCT
ajst-4785	102	20	sor	sor	NOUN
ajst-4785	102	21	-	-	PUNCT
ajst-4785	102	22	svr	svr	NOUN
ajst-4785	102	23	)	)	PUNCT
ajst-4785	102	24	model	model	NOUN
ajst-4785	102	25	to	to	PART
ajst-4785	102	26	estimate	estimate	VERB
ajst-4785	102	27	pm2.5	pm2.5	DET
ajst-4785	102	28	concentrations	concentration	NOUN
ajst-4785	102	29	based	base	VERB
ajst-4785	102	30	on	on	ADP
ajst-4785	102	31	aod	aod	PROPN
ajst-4785	102	32	and	and	CCONJ
ajst-4785	102	33	meteorological	meteorological	ADJ
ajst-4785	102	34	parameters	parameter	NOUN
ajst-4785	102	35	with	with	ADP
ajst-4785	102	36	an	an	DET
ajst-4785	102	37	r2	r2	NOUN
ajst-4785	102	38	of	of	ADP
ajst-4785	102	39	0.87	0.87	NUM
ajst-4785	102	40	.	.	PUNCT
ajst-4785	103	1	yang	yang	PROPN
ajst-4785	103	2	et	et	PROPN
ajst-4785	103	3	al	al	PROPN
ajst-4785	104	1	[	[	X
ajst-4785	104	2	68	68	NUM
ajst-4785	104	3	]	]	PUNCT
ajst-4785	104	4	proposed	propose	VERB
ajst-4785	104	5	a	a	DET
ajst-4785	104	6	two	two	NUM
ajst-4785	104	7	-	-	PUNCT
ajst-4785	104	8	stage	stage	NOUN
ajst-4785	104	9	statistical	statistical	ADJ
ajst-4785	104	10	model	model	NOUN
ajst-4785	104	11	combining	combine	VERB
ajst-4785	104	12	lme	lme	NOUN
ajst-4785	104	13	and	and	CCONJ
ajst-4785	104	14	svm	svm	VERB
ajst-4785	104	15	to	to	PART
ajst-4785	104	16	estimate	estimate	VERB
ajst-4785	104	17	pm2.5	pm2.5	DET
ajst-4785	104	18	concentrations	concentration	NOUN
ajst-4785	104	19	near	near	ADP
ajst-4785	104	20	the	the	DET
ajst-4785	104	21	ground	ground	NOUN
ajst-4785	104	22	in	in	ADP
ajst-4785	104	23	fuzhou	fuzhou	PROPN
ajst-4785	104	24	with	with	ADP
ajst-4785	104	25	an	an	DET
ajst-4785	104	26	r2	r2	NOUN
ajst-4785	104	27	of	of	ADP
ajst-4785	104	28	0.81	0.81	NUM
ajst-4785	104	29	.	.	PUNCT
ajst-4785	105	1	neural	neural	ADJ
ajst-4785	105	2	network	network	NOUN
ajst-4785	105	3	algorithms	algorithm	NOUN
ajst-4785	105	4	have	have	AUX
ajst-4785	105	5	been	be	AUX
ajst-4785	105	6	used	use	VERB
ajst-4785	105	7	for	for	ADP
ajst-4785	105	8	pm2.5	pm2.5	DET
ajst-4785	105	9	concentration	concentration	NOUN
ajst-4785	105	10	estimation	estimation	NOUN
ajst-4785	105	11	,	,	PUNCT
ajst-4785	105	12	including	include	VERB
ajst-4785	105	13	artificial	artificial	ADJ
ajst-4785	105	14	neural	neural	ADJ
ajst-4785	105	15	networks	network	NOUN
ajst-4785	105	16	(	(	PUNCT
ajst-4785	105	17	ann	ann	PROPN
ajst-4785	105	18	)	)	PUNCT
ajst-4785	105	19	,	,	PUNCT
ajst-4785	105	20	deep	deep	ADJ
ajst-4785	105	21	neural	neural	ADJ
ajst-4785	105	22	networks	network	NOUN
ajst-4785	105	23	(	(	PUNCT
ajst-4785	105	24	dnn	dnn	PROPN
ajst-4785	105	25	)	)	PUNCT
ajst-4785	105	26	,	,	PUNCT
ajst-4785	105	27	back	back	ADJ
ajst-4785	105	28	propagation	propagation	NOUN
ajst-4785	105	29	neural	neural	ADJ
ajst-4785	105	30	networks	network	NOUN
ajst-4785	105	31	(	(	PUNCT
ajst-4785	105	32	bpnn	bpnn	NOUN
ajst-4785	105	33	)	)	PUNCT
ajst-4785	105	34	,	,	PUNCT
ajst-4785	105	35	generalized	generalize	VERB
ajst-4785	105	36	regression	regression	NOUN
ajst-4785	105	37	neural	neural	ADJ
ajst-4785	105	38	networks	network	NOUN
ajst-4785	105	39	(	(	PUNCT
ajst-4785	105	40	grnn	grnn	PROPN
ajst-4785	105	41	)	)	PUNCT
ajst-4785	105	42	,	,	PUNCT
ajst-4785	105	43	and	and	CCONJ
ajst-4785	105	44	deep	deep	ADJ
ajst-4785	105	45	belief	belief	NOUN
ajst-4785	105	46	networks	network	NOUN
ajst-4785	105	47	(	(	PUNCT
ajst-4785	105	48	dbn	dbn	PROPN
ajst-4785	105	49	)	)	PUNCT
ajst-4785	105	50	.	.	PUNCT
ajst-4785	106	1	currently	currently	ADV
ajst-4785	106	2	,	,	PUNCT
ajst-4785	106	3	various	various	ADJ
ajst-4785	106	4	typical	typical	ADJ
ajst-4785	106	5	neural	neural	ADJ
ajst-4785	106	6	network	network	NOUN
ajst-4785	106	7	models	model	NOUN
ajst-4785	106	8	have	have	AUX
ajst-4785	106	9	been	be	AUX
ajst-4785	106	10	used	use	VERB
ajst-4785	106	11	to	to	PART
ajst-4785	106	12	improve	improve	VERB
ajst-4785	106	13	the	the	DET
ajst-4785	106	14	accuracy	accuracy	NOUN
ajst-4785	106	15	of	of	ADP
ajst-4785	106	16	pm2.5	pm2.5	DET
ajst-4785	106	17	estimation	estimation	NOUN
ajst-4785	106	18	by	by	ADP
ajst-4785	106	19	applying	apply	VERB
ajst-4785	106	20	structural	structural	ADJ
ajst-4785	106	21	deformation	deformation	NOUN
ajst-4785	106	22	.	.	PUNCT
ajst-4785	107	1	for	for	ADP
ajst-4785	107	2	example	example	NOUN
ajst-4785	107	3	,	,	PUNCT
ajst-4785	107	4	li	li	PROPN
ajst-4785	107	5	et	et	PROPN
ajst-4785	107	6	al	al	PROPN
ajst-4785	107	7	[	[	X
ajst-4785	107	8	69	69	NUM
ajst-4785	107	9	]	]	PUNCT
ajst-4785	107	10	developed	develop	VERB
ajst-4785	107	11	a	a	DET
ajst-4785	107	12	geo	geo	PROPN
ajst-4785	107	13	-	-	PUNCT
ajst-4785	107	14	intelligent	intelligent	ADJ
ajst-4785	107	15	deep	deep	ADJ
ajst-4785	107	16	learning	learning	NOUN
ajst-4785	107	17	(	(	PUNCT
ajst-4785	107	18	geoi	geoi	NOUN
ajst-4785	107	19	-	-	PUNCT
ajst-4785	107	20	dbn	dbn	PROPN
ajst-4785	107	21	)	)	PUNCT
ajst-4785	107	22	model	model	NOUN
ajst-4785	107	23	that	that	PRON
ajst-4785	107	24	incorporates	incorporate	VERB
ajst-4785	107	25	geographic	geographic	ADJ
ajst-4785	107	26	correlation	correlation	NOUN
ajst-4785	107	27	into	into	ADP
ajst-4785	107	28	an	an	DET
ajst-4785	107	29	intelligent	intelligent	ADJ
ajst-4785	107	30	deep	deep	ADJ
ajst-4785	107	31	learning	learning	NOUN
ajst-4785	107	32	architecture	architecture	NOUN
ajst-4785	107	33	and	and	CCONJ
ajst-4785	107	34	performs	perform	VERB
ajst-4785	107	35	significantly	significantly	ADV
ajst-4785	107	36	better	well	ADJ
ajst-4785	107	37	than	than	ADP
ajst-4785	107	38	traditional	traditional	ADJ
ajst-4785	107	39	neural	neural	ADJ
ajst-4785	107	40	networks.zang	networks.zang	PROPN
ajst-4785	107	41	et	et	NOUN
ajst-4785	107	42	al	al	PROPN
ajst-4785	108	1	[	[	X
ajst-4785	108	2	70	70	NUM
ajst-4785	108	3	]	]	PUNCT
ajst-4785	108	4	combined	combine	VERB
ajst-4785	108	5	pm10	pm10	PROPN
ajst-4785	108	6	and	and	CCONJ
ajst-4785	108	7	pm2.5	pm2.5	PROPN
ajst-4785	108	8	and	and	CCONJ
ajst-4785	108	9	hourly	hourly	ADV
ajst-4785	108	10	ahiaod	ahiaod	VERB
ajst-4785	108	11	into	into	ADP
ajst-4785	108	12	an	an	DET
ajst-4785	108	13	improved	improved	ADJ
ajst-4785	108	14	generalized	generalize	VERB
ajst-4785	108	15	regression	regression	NOUN
ajst-4785	108	16	neural	neural	ADJ
ajst-4785	108	17	network	network	NOUN
ajst-4785	108	18	model	model	NOUN
ajst-4785	108	19	,	,	PUNCT
ajst-4785	108	20	the	the	DET
ajst-4785	108	21	pcagrnn	pcagrnn	NOUN
ajst-4785	108	22	model	model	NOUN
ajst-4785	108	23	.	.	PUNCT
ajst-4785	109	1	the	the	DET
ajst-4785	109	2	r2	r2	PROPN
ajst-4785	109	3	reached	reach	VERB
ajst-4785	109	4	0.74	0.74	NUM
ajst-4785	109	5	compared	compare	VERB
ajst-4785	109	6	to	to	ADP
ajst-4785	109	7	the	the	DET
ajst-4785	109	8	conventional	conventional	ADJ
ajst-4785	109	9	grnn	grnn	NOUN
ajst-4785	109	10	model	model	NOUN
ajst-4785	109	11	(	(	PUNCT
ajst-4785	109	12	r2	r2	NOUN
ajst-4785	109	13	=	=	PUNCT
ajst-4785	109	14	0.67).chen	0.67).chen	X
ajst-4785	109	15	et	et	NOUN
ajst-4785	109	16	al	al	PROPN
ajst-4785	110	1	[	[	X
ajst-4785	110	2	58	58	NUM
ajst-4785	110	3	]	]	PUNCT
ajst-4785	110	4	combined	combined	PROPN
ajst-4785	110	5	aod	aod	PROPN
ajst-4785	110	6	,	,	PUNCT
ajst-4785	110	7	meteorology	meteorology	NOUN
ajst-4785	110	8	and	and	CCONJ
ajst-4785	110	9	other	other	ADJ
ajst-4785	110	10	auxiliary	auxiliary	ADJ
ajst-4785	110	11	variables	variable	NOUN
ajst-4785	110	12	to	to	PART
ajst-4785	110	13	develop	develop	VERB
ajst-4785	110	14	an	an	DET
ajst-4785	110	15	adaptive	adaptive	ADJ
ajst-4785	110	16	deep	deep	ADJ
ajst-4785	110	17	neural	neural	ADJ
ajst-4785	110	18	network	network	NOUN
ajst-4785	110	19	(	(	PUNCT
ajst-4785	110	20	sadnn	sadnn	NOUN
ajst-4785	110	21	)	)	PUNCT
ajst-4785	110	22	model	model	NOUN
ajst-4785	110	23	to	to	PART
ajst-4785	110	24	estimate	estimate	VERB
ajst-4785	110	25	daily	daily	ADV
ajst-4785	110	26	spatially	spatially	ADV
ajst-4785	110	27	continuous	continuous	ADJ
ajst-4785	110	28	pm2.5	pm2.5	ADJ
ajst-4785	110	29	concentrations	concentration	NOUN
ajst-4785	110	30	for	for	ADP
ajst-4785	110	31	2017	2017	NUM
ajst-4785	110	32	-	-	SYM
ajst-4785	110	33	2018	2018	NUM
ajst-4785	110	34	with	with	ADP
ajst-4785	110	35	an	an	DET
ajst-4785	110	36	r2	r2	NOUN
ajst-4785	110	37	of	of	ADP
ajst-4785	110	38	0.86	0.86	NUM
ajst-4785	110	39	.	.	PUNCT
ajst-4785	111	1	4.3	4.3	NUM
ajst-4785	111	2	.	.	PUNCT
ajst-4785	111	3	combination	combination	NOUN
ajst-4785	111	4	model	model	NOUN
ajst-4785	111	5	to	to	PART
ajst-4785	111	6	reduce	reduce	VERB
ajst-4785	111	7	the	the	DET
ajst-4785	111	8	bias	bias	NOUN
ajst-4785	111	9	associated	associate	VERB
ajst-4785	111	10	with	with	ADP
ajst-4785	111	11	individual	individual	ADJ
ajst-4785	111	12	model	model	NOUN
ajst-4785	111	13	estimates	estimate	NOUN
ajst-4785	111	14	,	,	PUNCT
ajst-4785	111	15	many	many	ADJ
ajst-4785	111	16	studies	study	NOUN
ajst-4785	111	17	have	have	AUX
ajst-4785	111	18	begun	begin	VERB
ajst-4785	111	19	to	to	PART
ajst-4785	111	20	calibrate	calibrate	VERB
ajst-4785	111	21	the	the	DET
ajst-4785	111	22	spatiotemporal	spatiotemporal	ADJ
ajst-4785	111	23	relationships	relationship	NOUN
ajst-4785	111	24	between	between	ADP
ajst-4785	111	25	pm2.5	pm2.5	PROPN
ajst-4785	111	26	,	,	PUNCT
ajst-4785	111	27	aod	aod	NOUN
ajst-4785	111	28	,	,	PUNCT
ajst-4785	111	29	and	and	CCONJ
ajst-4785	111	30	other	other	ADJ
ajst-4785	111	31	auxiliary	auxiliary	ADJ
ajst-4785	111	32	variables	variable	NOUN
ajst-4785	111	33	by	by	ADP
ajst-4785	111	34	combining	combine	VERB
ajst-4785	111	35	2	2	NUM
ajst-4785	111	36	or	or	CCONJ
ajst-4785	111	37	more	more	ADJ
ajst-4785	111	38	models	model	NOUN
ajst-4785	111	39	.	.	PUNCT
ajst-4785	112	1	the	the	DET
ajst-4785	112	2	lme+gwr	lme+gwr	PROPN
ajst-4785	112	3	or	or	CCONJ
ajst-4785	112	4	lme+gam	lme+gam	PROPN
ajst-4785	112	5	model	model	NOUN
ajst-4785	112	6	in	in	ADP
ajst-4785	112	7	figure	figure	NOUN
ajst-4785	112	8	3	3	NUM
ajst-4785	112	9	-	-	SYM
ajst-4785	112	10	1	1	NUM
ajst-4785	112	11	is	be	AUX
ajst-4785	112	12	the	the	DET
ajst-4785	112	13	most	most	ADV
ajst-4785	112	14	commonly	commonly	ADV
ajst-4785	112	15	used	use	VERB
ajst-4785	112	16	combination	combination	NOUN
ajst-4785	112	17	approach	approach	NOUN
ajst-4785	112	18	,	,	PUNCT
ajst-4785	112	19	where	where	SCONJ
ajst-4785	112	20	the	the	DET
ajst-4785	112	21	residuals	residual	NOUN
ajst-4785	112	22	are	be	AUX
ajst-4785	112	23	modeled	model	VERB
ajst-4785	112	24	with	with	ADP
ajst-4785	112	25	aod	aod	NOUN
ajst-4785	112	26	using	use	VERB
ajst-4785	112	27	the	the	DET
ajst-4785	112	28	second	second	ADJ
ajst-4785	112	29	-	-	PUNCT
ajst-4785	112	30	stage	stage	NOUN
ajst-4785	112	31	model	model	NOUN
ajst-4785	112	32	by	by	ADP
ajst-4785	112	33	considering	consider	VERB
ajst-4785	112	34	the	the	DET
ajst-4785	112	35	residuals	residual	NOUN
ajst-4785	112	36	between	between	ADP
ajst-4785	112	37	the	the	DET
ajst-4785	112	38	first	first	ADJ
ajst-4785	112	39	-	-	PUNCT
ajst-4785	112	40	stage	stage	NOUN
ajst-4785	112	41	model	model	NOUN
ajst-4785	112	42	estimation	estimation	NOUN
ajst-4785	112	43	results	result	NOUN
ajst-4785	112	44	and	and	CCONJ
ajst-4785	112	45	the	the	DET
ajst-4785	112	46	original	original	ADJ
ajst-4785	112	47	data	datum	NOUN
ajst-4785	112	48	.	.	PUNCT
ajst-4785	113	1	guo	guo	PROPN
ajst-4785	113	2	et	et	PROPN
ajst-4785	113	3	al	al	PROPN
ajst-4785	114	1	[	[	X
ajst-4785	114	2	71	71	NUM
ajst-4785	114	3	]	]	PUNCT
ajst-4785	114	4	confirmed	confirm	VERB
ajst-4785	114	5	that	that	SCONJ
ajst-4785	114	6	the	the	DET
ajst-4785	114	7	combined	combined	ADJ
ajst-4785	114	8	lme+gwr	lme+gwr	PROPN
ajst-4785	114	9	model	model	NOUN
ajst-4785	114	10	is	be	AUX
ajst-4785	114	11	superior	superior	ADJ
ajst-4785	114	12	to	to	ADP
ajst-4785	114	13	the	the	DET
ajst-4785	114	14	single	single	ADJ
ajst-4785	114	15	lme	lme	NOUN
ajst-4785	114	16	model	model	NOUN
ajst-4785	114	17	;	;	PUNCT
ajst-4785	114	18	ma	ma	PROPN
ajst-4785	114	19	et	et	PROPN
ajst-4785	114	20	al	al	PROPN
ajst-4785	115	1	[	[	X
ajst-4785	115	2	72	72	NUM
ajst-4785	115	3	]	]	PUNCT
ajst-4785	115	4	found	find	VERB
ajst-4785	115	5	that	that	SCONJ
ajst-4785	115	6	the	the	DET
ajst-4785	115	7	lme+gam	lme+gam	PROPN
ajst-4785	115	8	model	model	NOUN
ajst-4785	115	9	is	be	AUX
ajst-4785	115	10	better	well	ADJ
ajst-4785	115	11	at	at	ADP
ajst-4785	115	12	estimating	estimate	VERB
ajst-4785	115	13	daily	daily	ADJ
ajst-4785	115	14	-	-	PUNCT
ajst-4785	115	15	scale	scale	NOUN
ajst-4785	115	16	pm2.5	pm2.5	ADJ
ajst-4785	115	17	concentrations	concentration	NOUN
ajst-4785	115	18	with	with	ADP
ajst-4785	115	19	larger	large	ADJ
ajst-4785	115	20	errors	error	NOUN
ajst-4785	115	21	and	and	CCONJ
ajst-4785	115	22	performed	perform	VERB
ajst-4785	115	23	better	well	ADV
ajst-4785	115	24	at	at	ADP
ajst-4785	115	25	monthly	monthly	ADJ
ajst-4785	115	26	and	and	CCONJ
ajst-4785	115	27	seasonal	seasonal	ADJ
ajst-4785	115	28	levels	level	NOUN
ajst-4785	115	29	;	;	PUNCT
ajst-4785	115	30	zhang	zhang	PROPN
ajst-4785	115	31	et	et	PROPN
ajst-4785	115	32	al	al	PROPN
ajst-4785	116	1	[	[	X
ajst-4785	116	2	73	73	NUM
ajst-4785	116	3	]	]	PUNCT
ajst-4785	116	4	used	use	VERB
ajst-4785	116	5	the	the	DET
ajst-4785	116	6	two	two	NUM
ajst-4785	116	7	combined	combine	VERB
ajst-4785	116	8	models	model	NOUN
ajst-4785	116	9	for	for	ADP
ajst-4785	116	10	comparison	comparison	NOUN
ajst-4785	116	11	and	and	CCONJ
ajst-4785	116	12	found	find	VERB
ajst-4785	116	13	that	that	SCONJ
ajst-4785	116	14	the	the	DET
ajst-4785	116	15	lme+gwr	lme+gwr	PROPN
ajst-4785	116	16	model	model	NOUN
ajst-4785	116	17	outperformed	outperform	VERB
ajst-4785	116	18	the	the	DET
ajst-4785	116	19	lme+gam	lme+gam	PROPN
ajst-4785	116	20	model	model	NOUN
ajst-4785	116	21	.	.	PUNCT
ajst-4785	117	1	in	in	ADP
ajst-4785	117	2	addition	addition	NOUN
ajst-4785	117	3	,	,	PUNCT
ajst-4785	117	4	the	the	DET
ajst-4785	117	5	tefr+gwr	tefr+gwr	PROPN
ajst-4785	117	6	spatial	spatial	ADJ
ajst-4785	117	7	structure	structure	NOUN
ajst-4785	117	8	adaptive	adaptive	ADJ
ajst-4785	117	9	combination	combination	NOUN
ajst-4785	117	10	model	model	NOUN
ajst-4785	117	11	developed	develop	VERB
ajst-4785	117	12	by	by	ADP
ajst-4785	117	13	yao	yao	PROPN
ajst-4785	117	14	et	et	PROPN
ajst-4785	117	15	al	al	PROPN
ajst-4785	118	1	[	[	X
ajst-4785	118	2	74	74	NUM
ajst-4785	118	3	]	]	PUNCT
ajst-4785	118	4	and	and	CCONJ
ajst-4785	118	5	the	the	DET
ajst-4785	118	6	ipw+gamm+ked	ipw+gamm+ked	ADJ
ajst-4785	118	7	three	three	NUM
ajst-4785	118	8	-	-	PUNCT
ajst-4785	118	9	stage	stage	NOUN
ajst-4785	118	10	combination	combination	NOUN
ajst-4785	118	11	model	model	NOUN
ajst-4785	118	12	developed	develop	VERB
ajst-4785	118	13	by	by	ADP
ajst-4785	118	14	liang	liang	PROPN
ajst-4785	118	15	et	et	PROPN
ajst-4785	118	16	al	al	PROPN
ajst-4785	119	1	[	[	X
ajst-4785	119	2	75	75	NUM
ajst-4785	119	3	]	]	PUNCT
ajst-4785	119	4	also	also	ADV
ajst-4785	119	5	achieved	achieve	VERB
ajst-4785	119	6	the	the	DET
ajst-4785	119	7	desired	desire	VERB
ajst-4785	119	8	effect	effect	NOUN
ajst-4785	119	9	of	of	ADP
ajst-4785	119	10	estimation	estimation	NOUN
ajst-4785	119	11	.	.	PUNCT
ajst-4785	120	1	more	more	ADJ
ajst-4785	120	2	and	and	CCONJ
ajst-4785	120	3	more	more	ADJ
ajst-4785	120	4	studies	study	NOUN
ajst-4785	120	5	improve	improve	VERB
ajst-4785	120	6	the	the	DET
ajst-4785	120	7	accuracy	accuracy	NOUN
ajst-4785	120	8	of	of	ADP
ajst-4785	120	9	pm2.5	pm2.5	DET
ajst-4785	120	10	estimation	estimation	NOUN
ajst-4785	120	11	by	by	ADP
ajst-4785	120	12	adding	add	VERB
ajst-4785	120	13	machine	machine	NOUN
ajst-4785	120	14	learning	learning	NOUN
ajst-4785	120	15	models	model	NOUN
ajst-4785	120	16	to	to	ADP
ajst-4785	120	17	the	the	DET
ajst-4785	120	18	combined	combine	VERB
ajst-4785	120	19	models	model	NOUN
ajst-4785	120	20	,	,	PUNCT
ajst-4785	120	21	such	such	ADJ
ajst-4785	120	22	as	as	ADP
ajst-4785	120	23	mlr+ann	mlr+ann	PROPN
ajst-4785	120	24	or	or	CCONJ
ajst-4785	120	25	lme+svm	lme+svm	ADJ
ajst-4785	120	26	combined	combine	VERB
ajst-4785	120	27	models	model	NOUN
ajst-4785	120	28	with	with	ADP
ajst-4785	120	29	cv	cv	PROPN
ajst-4785	120	30	r2	r2	PROPN
ajst-4785	120	31	ranging	range	VERB
ajst-4785	120	32	from	from	ADP
ajst-4785	120	33	0.8	0.8	NUM
ajst-4785	120	34	to	to	ADP
ajst-4785	120	35	0.9	0.9	NUM
ajst-4785	120	36	.	.	PUNCT
ajst-4785	121	1	the	the	DET
ajst-4785	121	2	addition	addition	NOUN
ajst-4785	121	3	of	of	ADP
ajst-4785	121	4	machine	machine	NOUN
ajst-4785	121	5	learning	learning	NOUN
ajst-4785	121	6	models	model	NOUN
ajst-4785	121	7	can	can	AUX
ajst-4785	121	8	effectively	effectively	ADV
ajst-4785	121	9	improve	improve	VERB
ajst-4785	121	10	the	the	DET
ajst-4785	121	11	accuracy	accuracy	NOUN
ajst-4785	121	12	of	of	ADP
ajst-4785	121	13	pm2.5	pm2.5	DET
ajst-4785	121	14	concentration	concentration	NOUN
ajst-4785	121	15	estimation	estimation	NOUN
ajst-4785	121	16	and	and	CCONJ
ajst-4785	121	17	better	well	ADV
ajst-4785	121	18	explain	explain	VERB
ajst-4785	121	19	the	the	DET
ajst-4785	121	20	nonlinear	nonlinear	ADJ
ajst-4785	121	21	relationships	relationship	NOUN
ajst-4785	121	22	between	between	ADP
ajst-4785	121	23	variables	variable	NOUN
ajst-4785	121	24	that	that	PRON
ajst-4785	121	25	can	can	AUX
ajst-4785	121	26	not	not	PART
ajst-4785	121	27	be	be	AUX
ajst-4785	121	28	quantified	quantify	VERB
ajst-4785	121	29	by	by	ADP
ajst-4785	121	30	statistical	statistical	ADJ
ajst-4785	121	31	regression	regression	NOUN
ajst-4785	121	32	models	model	NOUN
ajst-4785	121	33	.	.	PUNCT
ajst-4785	122	1	in	in	ADP
ajst-4785	122	2	summary	summary	NOUN
ajst-4785	122	3	,	,	PUNCT
ajst-4785	122	4	the	the	DET
ajst-4785	122	5	combined	combined	ADJ
ajst-4785	122	6	model	model	NOUN
ajst-4785	122	7	has	have	VERB
ajst-4785	122	8	better	well	ADJ
ajst-4785	122	9	near	near	ADJ
ajst-4785	122	10	-	-	PUNCT
ajst-4785	122	11	ground	ground	NOUN
ajst-4785	122	12	pm2.5	pm2.5	PROPN
ajst-4785	122	13	concentration	concentration	NOUN
ajst-4785	122	14	estimation	estimation	NOUN
ajst-4785	122	15	capability	capability	NOUN
ajst-4785	122	16	than	than	ADP
ajst-4785	122	17	the	the	DET
ajst-4785	122	18	individual	individual	ADJ
ajst-4785	122	19	models	model	NOUN
ajst-4785	122	20	.	.	PUNCT
ajst-4785	123	1	however	however	ADV
ajst-4785	123	2	,	,	PUNCT
ajst-4785	123	3	the	the	DET
ajst-4785	123	4	additional	additional	ADJ
ajst-4785	123	5	steps	step	NOUN
ajst-4785	123	6	may	may	AUX
ajst-4785	123	7	make	make	VERB
ajst-4785	123	8	the	the	DET
ajst-4785	123	9	analysis	analysis	NOUN
ajst-4785	123	10	process	process	NOUN
ajst-4785	123	11	more	more	ADV
ajst-4785	123	12	complicated	complicated	ADJ
ajst-4785	123	13	and	and	CCONJ
ajst-4785	123	14	the	the	DET
ajst-4785	123	15	technical	technical	ADJ
ajst-4785	123	16	details	detail	NOUN
ajst-4785	123	17	may	may	AUX
ajst-4785	123	18	be	be	AUX
ajst-4785	123	19	more	more	ADV
ajst-4785	123	20	confusing	confusing	ADJ
ajst-4785	123	21	.	.	PUNCT
ajst-4785	124	1	4.4	4.4	NUM
ajst-4785	124	2	.	.	PUNCT
ajst-4785	124	3	combination	combination	NOUN
ajst-4785	124	4	model	model	NOUN
ajst-4785	124	5	selection	selection	NOUN
ajst-4785	124	6	of	of	ADP
ajst-4785	124	7	traditional	traditional	ADJ
ajst-4785	124	8	machine	machine	NOUN
ajst-4785	124	9	learning	learning	NOUN
ajst-4785	124	10	models	model	NOUN
ajst-4785	124	11	for	for	ADP
ajst-4785	124	12	pn2.5	pn2.5	ADJ
ajst-4785	124	13	inversion	inversion	NOUN
ajst-4785	124	14	based	base	VERB
ajst-4785	124	15	on	on	ADP
ajst-4785	124	16	data	datum	NOUN
ajst-4785	124	17	from	from	ADP
ajst-4785	124	18	jilin	jilin	PROPN
ajst-4785	124	19	province	province	PROPN
ajst-4785	124	20	in	in	ADP
ajst-4785	124	21	2018.where	2018.where	PROPN
ajst-4785	124	22	dnn	dnn	PROPN
ajst-4785	124	23	is	be	AUX
ajst-4785	124	24	a	a	DET
ajst-4785	124	25	6	6	NUM
ajst-4785	124	26	-	-	PUNCT
ajst-4785	124	27	layer	layer	NOUN
ajst-4785	124	28	structure	structure	NOUN
ajst-4785	124	29	(	(	PUNCT
ajst-4785	124	30	1024	1024	NUM
ajst-4785	124	31	,	,	PUNCT
ajst-4785	124	32	512	512	NUM
ajst-4785	124	33	,	,	PUNCT
ajst-4785	124	34	256	256	NUM
ajst-4785	124	35	,	,	PUNCT
ajst-4785	124	36	128	128	NUM
ajst-4785	124	37	,	,	PUNCT
ajst-4785	124	38	128	128	NUM
ajst-4785	124	39	,	,	PUNCT
ajst-4785	124	40	64	64	NUM
ajst-4785	124	41	)	)	PUNCT
ajst-4785	124	42	.	.	PUNCT
ajst-4785	125	1	table	table	NOUN
ajst-4785	125	2	1	1	NUM
ajst-4785	125	3	.	.	PUNCT
ajst-4785	126	1	algorithm	algorithm	PROPN
ajst-4785	126	2	comparison	comparison	NOUN
ajst-4785	126	3	number	number	NOUN
ajst-4785	126	4	rf	rf	PROPN
ajst-4785	126	5	lr	lr	PROPN
ajst-4785	126	6	catboost	catboost	NOUN
ajst-4785	126	7	mae	mae	PROPN
ajst-4785	126	8	8.38	8.38	NUM
ajst-4785	126	9	18.08	18.08	NUM
ajst-4785	126	10	11.84	11.84	NUM
ajst-4785	126	11	rmse	rmse	NOUN
ajst-4785	126	12	15.08	15.08	NUM
ajst-4785	126	13	27.38	27.38	NUM
ajst-4785	126	14	19.23	19.23	NUM
ajst-4785	126	15	r2	r2	NOUN
ajst-4785	126	16	0.75	0.75	NUM
ajst-4785	126	17	0.17	0.17	NUM
ajst-4785	126	18	0.61	0.61	NUM
ajst-4785	126	19	the	the	DET
ajst-4785	126	20	results	result	NOUN
ajst-4785	126	21	of	of	ADP
ajst-4785	126	22	the	the	DET
ajst-4785	126	23	pm2.5	pm2.5	ADJ
ajst-4785	126	24	inversion	inversion	NOUN
ajst-4785	126	25	model	model	NOUN
ajst-4785	126	26	based	base	VERB
ajst-4785	126	27	on	on	ADP
ajst-4785	126	28	the	the	DET
ajst-4785	126	29	55	55	NUM
ajst-4785	126	30	multi	multi	ADJ
ajst-4785	126	31	-	-	ADJ
ajst-4785	126	32	machine	machine	ADJ
ajst-4785	126	33	learning	learning	NOUN
ajst-4785	126	34	method	method	NOUN
ajst-4785	126	35	in	in	ADP
ajst-4785	126	36	jilin	jilin	PROPN
ajst-4785	126	37	province	province	PROPN
ajst-4785	126	38	are	be	AUX
ajst-4785	126	39	shown	show	VERB
ajst-4785	126	40	below	below	ADV
ajst-4785	126	41	.	.	PUNCT
ajst-4785	127	1	figure	figure	VERB
ajst-4785	127	2	3	3	NUM
ajst-4785	127	3	.	.	NOUN
ajst-4785	127	4	comparison	comparison	NOUN
ajst-4785	127	5	of	of	ADP
ajst-4785	127	6	multiple	multiple	ADJ
ajst-4785	127	7	machine	machine	NOUN
ajst-4785	127	8	learning	learning	NOUN
ajst-4785	127	9	models	model	NOUN
ajst-4785	127	10	5	5	NUM
ajst-4785	127	11	.	.	PUNCT
ajst-4785	127	12	conclusion	conclusion	NOUN
ajst-4785	127	13	the	the	DET
ajst-4785	127	14	manuscript	manuscript	NOUN
ajst-4785	127	15	should	should	AUX
ajst-4785	127	16	include	include	VERB
ajst-4785	127	17	a	a	DET
ajst-4785	127	18	conclusion	conclusion	NOUN
ajst-4785	127	19	.	.	PUNCT
ajst-4785	128	1	in	in	ADP
ajst-4785	128	2	this	this	DET
ajst-4785	128	3	section	section	NOUN
ajst-4785	128	4	,	,	PUNCT
ajst-4785	128	5	summarize	summarize	VERB
ajst-4785	128	6	what	what	PRON
ajst-4785	128	7	was	be	AUX
ajst-4785	128	8	described	describe	VERB
ajst-4785	128	9	in	in	ADP
ajst-4785	128	10	your	your	PRON
ajst-4785	128	11	paper	paper	NOUN
ajst-4785	128	12	.	.	PUNCT
ajst-4785	129	1	future	future	ADJ
ajst-4785	129	2	directions	direction	NOUN
ajst-4785	129	3	may	may	AUX
ajst-4785	129	4	also	also	ADV
ajst-4785	129	5	be	be	AUX
ajst-4785	129	6	included	include	VERB
ajst-4785	129	7	in	in	ADP
ajst-4785	129	8	this	this	DET
ajst-4785	129	9	section	section	NOUN
ajst-4785	129	10	.	.	PUNCT
ajst-4785	130	1	authors	author	NOUN
ajst-4785	130	2	are	be	AUX
ajst-4785	130	3	strongly	strongly	ADV
ajst-4785	130	4	encouraged	encourage	VERB
ajst-4785	130	5	not	not	PART
ajst-4785	130	6	to	to	PART
ajst-4785	130	7	reference	reference	VERB
ajst-4785	130	8	multiple	multiple	ADJ
ajst-4785	130	9	figures	figure	NOUN
ajst-4785	130	10	or	or	CCONJ
ajst-4785	130	11	tables	table	NOUN
ajst-4785	130	12	in	in	ADP
ajst-4785	130	13	the	the	DET
ajst-4785	130	14	conclusion	conclusion	NOUN
ajst-4785	130	15	;	;	PUNCT
ajst-4785	130	16	these	these	PRON
ajst-4785	130	17	should	should	AUX
ajst-4785	130	18	be	be	AUX
ajst-4785	130	19	referenced	reference	VERB
ajst-4785	130	20	in	in	ADP
ajst-4785	130	21	the	the	DET
ajst-4785	130	22	body	body	NOUN
ajst-4785	130	23	of	of	ADP
ajst-4785	130	24	the	the	DET
ajst-4785	130	25	paper	paper	NOUN
ajst-4785	130	26	.	.	PUNCT
ajst-4785	131	1	references	reference	NOUN
ajst-4785	131	2	[	[	X
ajst-4785	131	3	1	1	X
ajst-4785	131	4	]	]	PUNCT
ajst-4785	131	5	lim	lim	PROPN
ajst-4785	131	6	s	s	PART
ajst-4785	131	7	s	s	PROPN
ajst-4785	131	8	,	,	PUNCT
ajst-4785	131	9	vos	vos	PROPN
ajst-4785	131	10	t	t	PROPN
ajst-4785	131	11	,	,	PUNCT
ajst-4785	131	12	flaxman	flaxman	VERB
ajst-4785	131	13	a	a	PROPN
ajst-4785	131	14	d	d	NOUN
ajst-4785	131	15	,	,	PUNCT
ajst-4785	131	16	et	et	PROPN
ajst-4785	131	17	al	al	PROPN
ajst-4785	131	18	.	.	PUNCT
ajst-4785	132	1	a	a	DET
ajst-4785	132	2	comparative	comparative	ADJ
ajst-4785	132	3	risk	risk	NOUN
ajst-4785	132	4	assessment	assessment	NOUN
ajst-4785	132	5	of	of	ADP
ajst-4785	132	6	burden	burden	NOUN
ajst-4785	132	7	of	of	ADP
ajst-4785	132	8	disease	disease	NOUN
ajst-4785	132	9	and	and	CCONJ
ajst-4785	132	10	injury	injury	NOUN
ajst-4785	132	11	attributable	attributable	ADJ
ajst-4785	132	12	to	to	ADP
ajst-4785	132	13	67	67	NUM
ajst-4785	132	14	risk	risk	NOUN
ajst-4785	132	15	factors	factor	NOUN
ajst-4785	132	16	and	and	CCONJ
ajst-4785	132	17	risk	risk	NOUN
ajst-4785	132	18	factor	factor	NOUN
ajst-4785	132	19	clusters	cluster	NOUN
ajst-4785	132	20	in	in	ADP
ajst-4785	132	21	21	21	NUM
ajst-4785	132	22	regions	region	NOUN
ajst-4785	132	23	,	,	PUNCT
ajst-4785	132	24	1990	1990	NUM
ajst-4785	132	25	-	-	SYM
ajst-4785	132	26	2010	2010	NUM
ajst-4785	132	27	:	:	PUNCT
ajst-4785	132	28	a	a	DET
ajst-4785	132	29	systematic	systematic	ADJ
ajst-4785	132	30	analysis	analysis	NOUN
ajst-4785	132	31	for	for	ADP
ajst-4785	132	32	the	the	DET
ajst-4785	132	33	global	global	ADJ
ajst-4785	132	34	burden	burden	NOUN
ajst-4785	132	35	of	of	ADP
ajst-4785	132	36	disease	disease	NOUN
ajst-4785	132	37	study	study	NOUN
ajst-4785	132	38	2010[j	2010[j	NUM
ajst-4785	132	39	]	]	X
ajst-4785	132	40	.	.	PUNCT
ajst-4785	133	1	the	the	DET
ajst-4785	133	2	lancet	lancet	NOUN
ajst-4785	133	3	,	,	PUNCT
ajst-4785	133	4	2012	2012	NUM
ajst-4785	133	5	,	,	PUNCT
ajst-4785	133	6	380(9859	380(9859	NUM
ajst-4785	133	7	):	):	PUNCT
ajst-4785	133	8	2224	2224	NUM
ajst-4785	133	9	-	-	SYM
ajst-4785	133	10	2260	2260	NUM
ajst-4785	133	11	.	.	PUNCT
ajst-4785	134	1	[	[	X
ajst-4785	134	2	2	2	NUM
ajst-4785	134	3	]	]	X
ajst-4785	134	4	cohen	cohen	NOUN
ajst-4785	134	5	a	a	PROPN
ajst-4785	134	6	j	j	PROPN
ajst-4785	134	7	,	,	PUNCT
ajst-4785	134	8	brauer	brauer	PROPN
ajst-4785	134	9	m	m	PROPN
ajst-4785	134	10	,	,	PUNCT
ajst-4785	134	11	burnett	burnett	PROPN
ajst-4785	134	12	r	r	PROPN
ajst-4785	134	13	,	,	PUNCT
ajst-4785	134	14	et	et	PROPN
ajst-4785	134	15	al	al	PROPN
ajst-4785	134	16	.	.	PROPN
ajst-4785	134	17	estimates	estimate	NOUN
ajst-4785	134	18	and	and	CCONJ
ajst-4785	134	19	25	25	NUM
ajst-4785	134	20	-	-	PUNCT
ajst-4785	134	21	year	year	NOUN
ajst-4785	134	22	trends	trend	NOUN
ajst-4785	134	23	of	of	ADP
ajst-4785	134	24	the	the	DET
ajst-4785	134	25	global	global	ADJ
ajst-4785	134	26	burden	burden	NOUN
ajst-4785	134	27	of	of	ADP
ajst-4785	134	28	disease	disease	NOUN
ajst-4785	134	29	attributable	attributable	ADJ
ajst-4785	134	30	to	to	ADP
ajst-4785	134	31	ambient	ambient	ADJ
ajst-4785	134	32	air	air	NOUN
ajst-4785	134	33	pollution	pollution	NOUN
ajst-4785	134	34	:	:	PUNCT
ajst-4785	134	35	an	an	DET
ajst-4785	134	36	analysis	analysis	NOUN
ajst-4785	134	37	of	of	ADP
ajst-4785	134	38	data	datum	NOUN
ajst-4785	134	39	from	from	ADP
ajst-4785	134	40	the	the	DET
ajst-4785	134	41	global	global	ADJ
ajst-4785	134	42	burden	burden	NOUN
ajst-4785	134	43	of	of	ADP
ajst-4785	134	44	diseases	disease	NOUN
ajst-4785	134	45	study	study	VERB
ajst-4785	134	46	2015[j	2015[j	NOUN
ajst-4785	134	47	]	]	PUNCT
ajst-4785	134	48	.	.	PUNCT
ajst-4785	135	1	the	the	DET
ajst-4785	135	2	lancet	lancet	NOUN
ajst-4785	135	3	,	,	PUNCT
ajst-4785	135	4	2017	2017	NUM
ajst-4785	135	5	,	,	PUNCT
ajst-4785	135	6	389(10082	389(10082	NUM
ajst-4785	135	7	):	):	PUNCT
ajst-4785	135	8	19071918	19071918	NUM
ajst-4785	135	9	.	.	PUNCT
ajst-4785	136	1	[	[	X
ajst-4785	136	2	3	3	X
ajst-4785	136	3	]	]	X
ajst-4785	136	4	gu	gu	NOUN
ajst-4785	136	5	y	y	PROPN
ajst-4785	136	6	,	,	PUNCT
ajst-4785	136	7	wong	wong	PROPN
ajst-4785	136	8	t	t	PROPN
ajst-4785	136	9	w	w	PROPN
ajst-4785	136	10	,	,	PUNCT
ajst-4785	136	11	law	law	NOUN
ajst-4785	136	12	c	c	PROPN
ajst-4785	136	13	k	k	X
ajst-4785	136	14	,	,	PUNCT
ajst-4785	136	15	et	et	PROPN
ajst-4785	136	16	al	al	PROPN
ajst-4785	136	17	.	.	PUNCT
ajst-4785	136	18	impacts	impact	NOUN
ajst-4785	136	19	of	of	ADP
ajst-4785	136	20	sectoral	sectoral	ADJ
ajst-4785	136	21	emissions	emission	NOUN
ajst-4785	136	22	in	in	ADP
ajst-4785	136	23	china	china	PROPN
ajst-4785	136	24	and	and	CCONJ
ajst-4785	136	25	the	the	DET
ajst-4785	136	26	implications	implication	NOUN
ajst-4785	136	27	:	:	PUNCT
ajst-4785	136	28	air	air	NOUN
ajst-4785	136	29	quality	quality	NOUN
ajst-4785	136	30	,	,	PUNCT
ajst-4785	136	31	public	public	ADJ
ajst-4785	136	32	health	health	NOUN
ajst-4785	136	33	,	,	PUNCT
ajst-4785	136	34	crop	crop	NOUN
ajst-4785	136	35	production	production	NOUN
ajst-4785	136	36	,	,	PUNCT
ajst-4785	136	37	and	and	CCONJ
ajst-4785	136	38	economic	economic	ADJ
ajst-4785	136	39	costs[j	costs[j	PROPN
ajst-4785	136	40	]	]	PUNCT
ajst-4785	136	41	.	.	PUNCT
ajst-4785	137	1	environmental	environmental	ADJ
ajst-4785	137	2	research	research	NOUN
ajst-4785	137	3	letters	letter	NOUN
ajst-4785	137	4	,	,	PUNCT
ajst-4785	137	5	2018	2018	NUM
ajst-4785	137	6	,	,	PUNCT
ajst-4785	137	7	13(8	13(8	NUM
ajst-4785	137	8	):	):	PUNCT
ajst-4785	137	9	084008	084008	NUM
ajst-4785	137	10	.	.	PUNCT
ajst-4785	138	1	[	[	X
ajst-4785	138	2	4	4	X
ajst-4785	138	3	]	]	PUNCT
ajst-4785	138	4	world	world	NOUN
ajst-4785	138	5	health	health	NOUN
ajst-4785	138	6	organization	organization	NOUN
ajst-4785	138	7	(	(	PUNCT
ajst-4785	138	8	who	who	PRON
ajst-4785	138	9	)	)	PUNCT
ajst-4785	138	10	.	.	PUNCT
ajst-4785	139	1	air	air	NOUN
ajst-4785	139	2	pollution	pollution	NOUN
ajst-4785	139	3	.	.	PUNCT
ajst-4785	140	1	2021(https://www.who.int	2021(https://www.who.int	NUM
ajst-4785	140	2	/	/	SYM
ajst-4785	140	3	airpollution	airpollution	NOUN
ajst-4785	140	4	/	/	SYM
ajst-4785	140	5	en/	en/	NOUN
ajst-4785	140	6	)	)	PUNCT
ajst-4785	140	7	.	.	PUNCT
ajst-4785	141	1	[	[	X
ajst-4785	141	2	5	5	X
ajst-4785	141	3	]	]	X
ajst-4785	141	4	wang	wang	PROPN
ajst-4785	141	5	qing	qing	PROPN
ajst-4785	141	6	,	,	PUNCT
ajst-4785	141	7	zhu	zhu	PROPN
ajst-4785	141	8	huanhuan	huanhuan	PROPN
ajst-4785	141	9	,	,	PUNCT
ajst-4785	141	10	du	du	PROPN
ajst-4785	141	11	peng	peng	PROPN
ajst-4785	141	12	,	,	PUNCT
ajst-4785	141	13	etc	etc	X
ajst-4785	141	14	research	research	NOUN
ajst-4785	141	15	on	on	ADP
ajst-4785	141	16	health	health	NOUN
ajst-4785	141	17	benefit	benefit	NOUN
ajst-4785	141	18	prediction	prediction	NOUN
ajst-4785	141	19	of	of	ADP
ajst-4785	141	20	the	the	DET
ajst-4785	141	21	"	"	PUNCT
ajst-4785	141	22	fourteenth	fourteenth	ADJ
ajst-4785	141	23	five	five	NUM
ajst-4785	141	24	year	year	NOUN
ajst-4785	141	25	plan	plan	NOUN
ajst-4785	141	26	"	"	PUNCT
ajst-4785	141	27	and	and	CCONJ
ajst-4785	141	28	medium	medium	ADJ
ajst-4785	141	29	and	and	CCONJ
ajst-4785	141	30	long	long	ADJ
ajst-4785	141	31	-	-	PUNCT
ajst-4785	141	32	term	term	NOUN
ajst-4785	141	33	pm2.5	pm2.5	PART
ajst-4785	141	34	pollution	pollution	NOUN
ajst-4785	141	35	control	control	NOUN
ajst-4785	141	36	targets	target	NOUN
ajst-4785	141	37	in	in	ADP
ajst-4785	141	38	beijing	beijing	PROPN
ajst-4785	141	39	,	,	PUNCT
ajst-4785	141	40	tianjin	tianjin	PROPN
ajst-4785	141	41	,	,	PUNCT
ajst-4785	141	42	hebei	hebei	PROPN
ajst-4785	141	43	and	and	CCONJ
ajst-4785	141	44	surrounding	surround	VERB
ajst-4785	141	45	areas	area	NOUN
ajst-4785	141	46	[	[	X
ajst-4785	141	47	j	j	X
ajst-4785	141	48	]	]	X
ajst-4785	141	49	environmental	environmental	ADJ
ajst-4785	141	50	science	science	NOUN
ajst-4785	141	51	research	research	NOUN
ajst-4785	141	52	,	,	PUNCT
ajst-4785	141	53	2021	2021	NUM
ajst-4785	141	54	,	,	PUNCT
ajst-4785	141	55	34	34	NUM
ajst-4785	141	56	(	(	PUNCT
ajst-4785	141	57	1	1	NUM
ajst-4785	141	58	):	):	PUNCT
ajst-4785	141	59	220	220	NUM
ajst-4785	141	60	-	-	SYM
ajst-4785	141	61	228	228	NUM
ajst-4785	141	62	.	.	PUNCT
ajst-4785	142	1	[	[	X
ajst-4785	142	2	6	6	NUM
ajst-4785	142	3	]	]	PUNCT
ajst-4785	142	4	zhang	zhang	PROPN
ajst-4785	142	5	yihua	yihua	PROPN
ajst-4785	142	6	temporal	temporal	ADJ
ajst-4785	142	7	and	and	CCONJ
ajst-4785	142	8	spatial	spatial	ADJ
ajst-4785	142	9	variation	variation	NOUN
ajst-4785	142	10	characteristics	characteristic	NOUN
ajst-4785	142	11	of	of	ADP
ajst-4785	142	12	pm2.5	pm2.5	DET
ajst-4785	142	13	regional	regional	ADJ
ajst-4785	142	14	pollution	pollution	NOUN
ajst-4785	142	15	in	in	ADP
ajst-4785	142	16	yangtze	yangtze	PROPN
ajst-4785	142	17	river	river	PROPN
ajst-4785	142	18	delta	delta	NOUN
ajst-4785	143	1	[	[	X
ajst-4785	143	2	j	j	X
ajst-4785	143	3	/	/	SYM
ajst-4785	143	4	ol	ol	PROPN
ajst-4785	143	5	]	]	X
ajst-4785	143	6	environmental	environmental	ADJ
ajst-4785	143	7	science	science	NOUN
ajst-4785	143	8	research	research	NOUN
ajst-4785	143	9	:	:	PUNCT
ajst-4785	143	10	october	october	PROPN
ajst-4785	143	11	15	15	NUM
ajst-4785	143	12	,	,	PUNCT
ajst-4785	143	13	2021	2021	NUM
ajst-4785	143	14	https://doi.org/10.13198/j.issn.1001-6929.2021	https://doi.org/10.13198/j.issn.1001-6929.2021	PROPN
ajst-4785	143	15	.	.	PROPN
ajst-4785	144	1	09.03	09.03	NUM
ajst-4785	144	2	.	.	PUNCT
ajst-4785	145	1	[	[	X
ajst-4785	145	2	7	7	X
ajst-4785	145	3	]	]	X
ajst-4785	145	4	wang	wang	PROPN
ajst-4785	145	5	xiaoyuan	xiaoyuan	PROPN
ajst-4785	145	6	,	,	PUNCT
ajst-4785	145	7	jiang	jiang	PROPN
ajst-4785	145	8	fei	fei	PROPN
ajst-4785	145	9	,	,	PUNCT
ajst-4785	145	10	xu	xu	PROPN
ajst-4785	145	11	shengchen	shengchen	ADV
ajst-4785	145	12	,	,	PUNCT
ajst-4785	145	13	et	et	PROPN
ajst-4785	145	14	al	al	PROPN
ajst-4785	145	15	assessment	assessment	NOUN
ajst-4785	145	16	on	on	ADP
ajst-4785	145	17	the	the	DET
ajst-4785	145	18	emergency	emergency	NOUN
ajst-4785	145	19	emission	emission	NOUN
ajst-4785	145	20	reduction	reduction	NOUN
ajst-4785	145	21	effect	effect	NOUN
ajst-4785	145	22	of	of	ADP
ajst-4785	145	23	heavy	heavy	ADJ
ajst-4785	145	24	air	air	NOUN
ajst-4785	145	25	pollution	pollution	NOUN
ajst-4785	145	26	in	in	ADP
ajst-4785	145	27	the	the	DET
ajst-4785	145	28	yangtze	yangtze	PROPN
ajst-4785	145	29	river	river	PROPN
ajst-4785	145	30	delta	delta	PROPN
ajst-4785	145	31	region	region	NOUN
ajst-4785	146	1	[	[	X
ajst-4785	146	2	j	j	X
ajst-4785	146	3	]	]	X
ajst-4785	146	4	environmental	environmental	ADJ
ajst-4785	146	5	science	science	NOUN
ajst-4785	146	6	research	research	NOUN
ajst-4785	146	7	,	,	PUNCT
ajst-4785	146	8	2020	2020	NUM
ajst-4785	146	9	,	,	PUNCT
ajst-4785	146	10	33(4	33(4	NUM
ajst-4785	146	11	):	):	PUNCT
ajst-4785	146	12	783	783	NUM
ajst-4785	146	13	-	-	SYM
ajst-4785	146	14	791	791	NUM
ajst-4785	146	15	.	.	PUNCT
ajst-4785	147	1	[	[	X
ajst-4785	147	2	8	8	NUM
ajst-4785	147	3	]	]	X
ajst-4785	147	4	wang	wang	PROPN
ajst-4785	147	5	qing	qing	PROPN
ajst-4785	147	6	,	,	PUNCT
ajst-4785	147	7	wang	wang	PROPN
ajst-4785	147	8	jiaonan	jiaonan	PROPN
ajst-4785	147	9	,	,	PUNCT
ajst-4785	147	10	he	he	PRON
ajst-4785	147	11	m	m	VERB
ajst-4785	147	12	z	z	NOUN
ajst-4785	147	13	,	,	PUNCT
ajst-4785	147	14	et	et	PROPN
ajst-4785	147	15	al	al	PROPN
ajst-4785	147	16	.	.	PUNCT
ajst-4785	148	1	a	a	DET
ajst-4785	148	2	county	county	NOUN
ajst-4785	148	3	-	-	PUNCT
ajst-4785	148	4	level	level	NOUN
ajst-4785	148	5	estimate	estimate	NOUN
ajst-4785	148	6	of	of	ADP
ajst-4785	148	7	pm2.5	pm2.5	PRON
ajst-4785	148	8	related	relate	VERB
ajst-4785	148	9	chronic	chronic	ADJ
ajst-4785	148	10	m	m	NOUN
ajst-4785	148	11	ortality	ortality	NOUN
ajst-4785	148	12	risk	risk	NOUN
ajst-4785	148	13	in	in	ADP
ajst-4785	148	14	china	china	PROPN
ajst-4785	148	15	based	base	VERB
ajst-4785	148	16	on	on	ADP
ajst-4785	148	17	multi	multi	ADJ
ajst-4785	148	18	-	-	ADJ
ajst-4785	148	19	model	model	ADJ
ajst-4785	148	20	exposure	exposure	NOUN
ajst-4785	148	21	data[j	data[j	PROPN
ajst-4785	148	22	]	]	PUNCT
ajst-4785	148	23	.	.	PUNCT
ajst-4785	149	1	environment	environment	PROPN
ajst-4785	149	2	international	international	PROPN
ajst-4785	149	3	,	,	PUNCT
ajst-4785	149	4	201	201	NUM
ajst-4785	149	5	8	8	NUM
ajst-4785	149	6	,	,	PUNCT
ajst-4785	149	7	110	110	NUM
ajst-4785	149	8	:	:	PUNCT
ajst-4785	149	9	105	105	NUM
ajst-4785	149	10	-	-	SYM
ajst-4785	149	11	112	112	NUM
ajst-4785	149	12	.	.	PUNCT
ajst-4785	150	1	[	[	X
ajst-4785	150	2	9	9	NUM
ajst-4785	150	3	]	]	X
ajst-4785	150	4	zhao	zhao	PROPN
ajst-4785	150	5	zhongming	zhongming	PROPN
ajst-4785	150	6	,	,	PUNCT
ajst-4785	150	7	gao	gao	PROPN
ajst-4785	150	8	lianru	lianru	PROPN
ajst-4785	150	9	,	,	PUNCT
ajst-4785	150	10	chen	chen	PROPN
ajst-4785	150	11	dong	dong	PROPN
ajst-4785	150	12	,	,	PUNCT
ajst-4785	150	13	et	et	PROPN
ajst-4785	150	14	al	al	PROPN
ajst-4785	150	15	development	development	NOUN
ajst-4785	150	16	of	of	ADP
ajst-4785	150	17	satellite	satellite	NOUN
ajst-4785	150	18	remote	remote	ADJ
ajst-4785	150	19	sensing	sensing	NOUN
ajst-4785	150	20	and	and	CCONJ
ajst-4785	150	21	image	image	NOUN
ajst-4785	150	22	processing	processing	NOUN
ajst-4785	150	23	platform	platform	NOUN
ajst-4785	150	24	[	[	X
ajst-4785	150	25	j	j	X
ajst-4785	150	26	]	]	X
ajst-4785	150	27	chinese	chinese	ADJ
ajst-4785	150	28	journal	journal	PROPN
ajst-4785	150	29	of	of	ADP
ajst-4785	150	30	image	image	NOUN
ajst-4785	150	31	graphics	graphic	NOUN
ajst-4785	150	32	,	,	PUNCT
ajst-4785	150	33	2019	2019	NUM
ajst-4785	150	34	,	,	PUNCT
ajst-4785	150	35	24	24	NUM
ajst-4785	150	36	(	(	PUNCT
ajst-4785	150	37	12	12	NUM
ajst-4785	150	38	):	):	PUNCT
ajst-4785	150	39	13	13	NUM
ajst-4785	150	40	.	.	PUNCT
ajst-4785	151	1	[	[	X
ajst-4785	151	2	10	10	NUM
ajst-4785	151	3	]	]	X
ajst-4785	151	4	prospective	prospective	ADJ
ajst-4785	151	5	economist	economist	NOUN
ajst-4785	151	6	analysis	analysis	NOUN
ajst-4785	151	7	on	on	ADP
ajst-4785	151	8	the	the	DET
ajst-4785	151	9	current	current	ADJ
ajst-4785	151	10	situation	situation	NOUN
ajst-4785	151	11	and	and	CCONJ
ajst-4785	151	12	development	development	NOUN
ajst-4785	151	13	trend	trend	NOUN
ajst-4785	151	14	of	of	ADP
ajst-4785	151	15	the	the	DET
ajst-4785	151	16	global	global	ADJ
ajst-4785	151	17	remote	remote	ADJ
ajst-4785	151	18	sensing	sense	VERB
ajst-4785	151	19	satellite	satellite	NOUN
ajst-4785	151	20	launch	launch	NOUN
ajst-4785	151	21	market	market	NOUN
ajst-4785	151	22	in	in	ADP
ajst-4785	151	23	2020	2020	NUM
ajst-4785	151	24	[	[	X
ajst-4785	151	25	eb	eb	X
ajst-4785	151	26	/	/	SYM
ajst-4785	151	27	ol	ol	PROPN
ajst-4785	151	28	]	]	X
ajst-4785	151	29	2020	2020	NUM
ajst-4785	151	30	-	-	SYM
ajst-4785	151	31	05	05	NUM
ajst-4785	151	32	-	-	PUNCT
ajst-4785	151	33	01	01	NUM
ajst-4785	151	34	.	.	PUNCT
ajst-4785	152	1	[	[	X
ajst-4785	152	2	11	11	NUM
ajst-4785	152	3	]	]	PUNCT
ajst-4785	152	4	jordan	jordan	PROPN
ajst-4785	152	5	m.	m.	PROPN
ajst-4785	152	6	i	i	PROPN
ajst-4785	152	7	,	,	PUNCT
ajst-4785	152	8	mitchell	mitchell	PROPN
ajst-4785	152	9	t.	t.	PROPN
ajst-4785	152	10	machine	machine	PROPN
ajst-4785	152	11	learning	learning	PROPN
ajst-4785	152	12	:	:	PUNCT
ajst-4785	152	13	trends	trend	NOUN
ajst-4785	152	14	,	,	PUNCT
ajst-4785	152	15	perspectives	perspective	NOUN
ajst-4785	152	16	,	,	PUNCT
ajst-4785	152	17	and	and	CCONJ
ajst-4785	152	18	prospects[j	prospects[j	PROPN
ajst-4785	152	19	]	]	PUNCT
ajst-4785	152	20	.	.	PUNCT
ajst-4785	153	1	science	science	NOUN
ajst-4785	153	2	,	,	PUNCT
ajst-4785	153	3	2015	2015	NUM
ajst-4785	153	4	,	,	PUNCT
ajst-4785	153	5	349(6245	349(6245	NUM
ajst-4785	153	6	):	):	PUNCT
ajst-4785	153	7	255	255	NUM
ajst-4785	153	8	-	-	SYM
ajst-4785	153	9	260	260	NUM
ajst-4785	153	10	.	.	PUNCT
ajst-4785	154	1	[	[	X
ajst-4785	154	2	12	12	NUM
ajst-4785	154	3	]	]	X
ajst-4785	154	4	lake	lake	PROPN
ajst-4785	154	5	b	b	PROPN
ajst-4785	154	6	m	m	PROPN
ajst-4785	154	7	,	,	PUNCT
ajst-4785	154	8	salakhutdinov	salakhutdinov	NOUN
ajst-4785	154	9	r	r	NOUN
ajst-4785	154	10	,	,	PUNCT
ajst-4785	154	11	tenenbaum	tenenbaum	PROPN
ajst-4785	154	12	j	j	PROPN
ajst-4785	154	13	b.	b.	PROPN
ajst-4785	154	14	human	human	ADJ
ajst-4785	154	15	-	-	PUNCT
ajst-4785	154	16	level	level	NOUN
ajst-4785	154	17	concept	concept	NOUN
ajst-4785	154	18	learning	learn	VERB
ajst-4785	154	19	through	through	ADP
ajst-4785	154	20	probabilistic	probabilistic	ADJ
ajst-4785	154	21	program	program	NOUN
ajst-4785	154	22	induction[j	induction[j	PROPN
ajst-4785	154	23	]	]	PUNCT
ajst-4785	154	24	.	.	PUNCT
ajst-4785	155	1	science	science	NOUN
ajst-4785	155	2	,	,	PUNCT
ajst-4785	155	3	2015	2015	NUM
ajst-4785	155	4	,	,	PUNCT
ajst-4785	155	5	350(6266	350(6266	NUM
ajst-4785	155	6	):	):	PUNCT
ajst-4785	155	7	1332	1332	NUM
ajst-4785	155	8	-	-	SYM
ajst-4785	155	9	1338	1338	NUM
ajst-4785	155	10	.	.	PUNCT
ajst-4785	156	1	[	[	X
ajst-4785	156	2	13	13	NUM
ajst-4785	156	3	]	]	X
ajst-4785	156	4	silver	silver	NOUN
ajst-4785	156	5	d	d	PROPN
ajst-4785	156	6	,	,	PUNCT
ajst-4785	156	7	schrittwieser	schrittwieser	PROPN
ajst-4785	156	8	j	j	PROPN
ajst-4785	156	9	,	,	PUNCT
ajst-4785	156	10	simonyan	simonyan	PROPN
ajst-4785	157	1	k	k	NOUN
ajst-4785	157	2	,	,	PUNCT
ajst-4785	157	3	et	et	PROPN
ajst-4785	157	4	al	al	PROPN
ajst-4785	157	5	.	.	PUNCT
ajst-4785	158	1	masteringthe	masteringthe	DET
ajst-4785	158	2	game	game	NOUN
ajst-4785	158	3	of	of	ADP
ajst-4785	158	4	go	go	NOUN
ajst-4785	158	5	without	without	ADP
ajst-4785	158	6	human	human	ADJ
ajst-4785	158	7	knowledge[j	knowledge[j	PROPN
ajst-4785	158	8	]	]	PUNCT
ajst-4785	158	9	.	.	PUNCT
ajst-4785	159	1	nature	nature	NOUN
ajst-4785	159	2	,	,	PUNCT
ajst-4785	159	3	2017	2017	NUM
ajst-4785	159	4	,	,	PUNCT
ajst-4785	159	5	550(7676	550(7676	NUM
ajst-4785	159	6	):	):	PUNCT
ajst-4785	159	7	354	354	NUM
ajst-4785	159	8	-	-	SYM
ajst-4785	159	9	359	359	NUM
ajst-4785	159	10	.	.	PUNCT
ajst-4785	160	1	[	[	X
ajst-4785	160	2	14	14	NUM
ajst-4785	160	3	]	]	X
ajst-4785	160	4	silver	silver	PROPN
ajst-4785	160	5	d	d	PROPN
ajst-4785	160	6	,	,	PUNCT
ajst-4785	160	7	huang	huang	PROPN
ajst-4785	160	8	a	a	PROPN
ajst-4785	160	9	,	,	PUNCT
ajst-4785	160	10	maddison	maddison	PROPN
ajst-4785	160	11	c	c	PROPN
ajst-4785	160	12	j	j	PROPN
ajst-4785	160	13	,	,	PUNCT
ajst-4785	160	14	et	et	PROPN
ajst-4785	160	15	al	al	PROPN
ajst-4785	160	16	.	.	PUNCT
ajst-4785	160	17	mastering	master	VERB
ajst-4785	160	18	thegame	thegame	PROPN
ajst-4785	160	19	of	of	ADP
ajst-4785	160	20	go	go	VERB
ajst-4785	160	21	with	with	ADP
ajst-4785	160	22	deep	deep	ADJ
ajst-4785	160	23	neural	neural	ADJ
ajst-4785	160	24	networks	network	NOUN
ajst-4785	160	25	and	and	CCONJ
ajst-4785	160	26	tree	tree	NOUN
ajst-4785	160	27	search[j	search[j	PROPN
ajst-4785	160	28	]	]	PUNCT
ajst-4785	160	29	.	.	PUNCT
ajst-4785	161	1	nature	nature	NOUN
ajst-4785	161	2	,	,	PUNCT
ajst-4785	161	3	2016	2016	NUM
ajst-4785	161	4	,	,	PUNCT
ajst-4785	161	5	529(7587	529(7587	NUM
ajst-4785	161	6	):	):	PUNCT
ajst-4785	161	7	484489	484489	NUM
ajst-4785	161	8	.	.	PUNCT
ajst-4785	162	1	[	[	X
ajst-4785	162	2	15	15	NUM
ajst-4785	162	3	]	]	X
ajst-4785	162	4	jean	jean	PROPN
ajst-4785	162	5	n	n	PROPN
ajst-4785	162	6	,	,	PUNCT
ajst-4785	162	7	burke	burke	PROPN
ajst-4785	162	8	m	m	PROPN
ajst-4785	162	9	,	,	PUNCT
ajst-4785	162	10	xie	xie	PROPN
ajst-4785	162	11	m.	m.	NOUN
ajst-4785	162	12	combining	combine	VERB
ajst-4785	162	13	satellite	satellite	NOUN
ajst-4785	162	14	imageryand	imageryand	NOUN
ajst-4785	162	15	machine	machine	NOUN
ajst-4785	162	16	learning	learn	VERB
ajst-4785	162	17	to	to	PART
ajst-4785	162	18	predict	predict	VERB
ajst-4785	162	19	poverty[j	poverty[j	NOUN
ajst-4785	162	20	]	]	PUNCT
ajst-4785	162	21	.	.	PUNCT
ajst-4785	163	1	science	science	NOUN
ajst-4785	163	2	,	,	PUNCT
ajst-4785	163	3	2016	2016	NUM
ajst-4785	163	4	,	,	PUNCT
ajst-4785	163	5	353(6301	353(6301	NUM
ajst-4785	163	6	):	):	PUNCT
ajst-4785	163	7	790	790	NUM
ajst-4785	163	8	-	-	SYM
ajst-4785	163	9	794	794	NUM
ajst-4785	163	10	.	.	PUNCT
ajst-4785	164	1	[	[	X
ajst-4785	164	2	16	16	NUM
ajst-4785	164	3	]	]	PUNCT
ajst-4785	164	4	baez	baez	PROPN
ajst-4785	164	5	-	-	PROPN
ajst-4785	164	6	villanueva	villanueva	PROPN
ajst-4785	164	7	o	o	PROPN
ajst-4785	164	8	m	m	PROPN
ajst-4785	164	9	,	,	PUNCT
ajst-4785	164	10	zambrano	zambrano	PROPN
ajst-4785	164	11	-	-	PUNCT
ajst-4785	164	12	bigiarini	bigiarini	PROPN
ajst-4785	164	13	m	m	PROPN
ajst-4785	164	14	,	,	PUNCT
ajst-4785	164	15	beck	beck	PROPN
ajst-4785	164	16	h	h	PROPN
ajst-4785	164	17	,	,	PUNCT
ajst-4785	164	18	et	et	PROPN
ajst-4785	164	19	al	al	PROPN
ajst-4785	164	20	.	.	PUNCT
ajst-4785	164	21	rf	rf	PROPN
ajst-4785	164	22	-	-	PUNCT
ajst-4785	164	23	mep	mep	NOUN
ajst-4785	164	24	:	:	PUNCT
ajst-4785	164	25	a	a	DET
ajst-4785	164	26	novel	novel	ADJ
ajst-4785	164	27	random	random	ADJ
ajst-4785	164	28	forest	forest	NOUN
ajst-4785	164	29	method	method	NOUN
ajst-4785	164	30	for	for	ADP
ajst-4785	164	31	merging	merge	VERB
ajst-4785	164	32	gridded	gridde	VERB
ajst-4785	164	33	precipitation	precipitation	NOUN
ajst-4785	164	34	products	product	NOUN
ajst-4785	164	35	and	and	CCONJ
ajst-4785	164	36	ground	ground	NOUN
ajst-4785	164	37	-	-	PUNCT
ajst-4785	164	38	based	base	VERB
ajst-4785	164	39	measure	measure	NOUN
ajst-4785	164	40	ments[j	ments[j	PROPN
ajst-4785	164	41	]	]	PUNCT
ajst-4785	164	42	.	.	PUNCT
ajst-4785	165	1	remote	remote	ADJ
ajst-4785	165	2	sensing	sensing	NOUN
ajst-4785	165	3	of	of	ADP
ajst-4785	165	4	environment	environment	NOUN
ajst-4785	165	5	,	,	PUNCT
ajst-4785	165	6	2020	2020	NUM
ajst-4785	165	7	,	,	PUNCT
ajst-4785	165	8	239(111606):1	239(111606):1	NUM
ajst-4785	165	9	-	-	SYM
ajst-4785	165	10	19	19	NUM
ajst-4785	165	11	.	.	PUNCT
ajst-4785	166	1	[	[	X
ajst-4785	166	2	17	17	NUM
ajst-4785	166	3	]	]	X
ajst-4785	166	4	zhang	zhang	PROPN
ajst-4785	166	5	l	l	PROPN
ajst-4785	166	6	p	p	X
ajst-4785	166	7	,	,	PUNCT
ajst-4785	166	8	zhang	zhang	PROPN
ajst-4785	166	9	l	l	PROPN
ajst-4785	166	10	f	f	X
ajst-4785	166	11	,	,	PUNCT
ajst-4785	166	12	du	du	PROPN
ajst-4785	166	13	b.	b.	PROPN
ajst-4785	166	14	deep	deep	ADJ
ajst-4785	166	15	learning	learning	NOUN
ajst-4785	166	16	for	for	ADP
ajst-4785	166	17	remotesensing	remotesense	VERB
ajst-4785	166	18	data	datum	NOUN
ajst-4785	166	19	:	:	PUNCT
ajst-4785	166	20	a	a	DET
ajst-4785	166	21	technical	technical	ADJ
ajst-4785	166	22	tutorial	tutorial	NOUN
ajst-4785	166	23	on	on	ADP
ajst-4785	166	24	the	the	DET
ajst-4785	166	25	state	state	NOUN
ajst-4785	166	26	of	of	ADP
ajst-4785	166	27	the	the	DET
ajst-4785	166	28	art[j	art[j	NOUN
ajst-4785	166	29	]	]	PUNCT
ajst-4785	166	30	.	.	PUNCT
ajst-4785	167	1	ieee	ieee	PROPN
ajst-4785	167	2	geoscience	geoscience	PROPN
ajst-4785	167	3	&	&	CCONJ
ajst-4785	167	4	remote	remote	ADJ
ajst-4785	167	5	sensing	sense	VERB
ajst-4785	167	6	magazine	magazine	NOUN
ajst-4785	167	7	,	,	PUNCT
ajst-4785	167	8	2016	2016	NUM
ajst-4785	167	9	,	,	PUNCT
ajst-4785	167	10	4(2	4(2	NUM
ajst-4785	167	11	):	):	PUNCT
ajst-4785	167	12	22	22	NUM
ajst-4785	167	13	-	-	SYM
ajst-4785	167	14	40	40	NUM
ajst-4785	167	15	.	.	PUNCT
ajst-4785	168	1	[	[	X
ajst-4785	168	2	18	18	NUM
ajst-4785	168	3	]	]	PUNCT
ajst-4785	168	4	yuan	yuan	NOUN
ajst-4785	168	5	q	q	PROPN
ajst-4785	168	6	q	q	NOUN
ajst-4785	168	7	,	,	PUNCT
ajst-4785	168	8	shen	shen	PROPN
ajst-4785	168	9	h	h	PROPN
ajst-4785	169	1	f	f	PROPN
ajst-4785	169	2	,	,	PUNCT
ajst-4785	169	3	li	li	PROPN
ajst-4785	169	4	t	t	PROPN
ajst-4785	169	5	w	w	PROPN
ajst-4785	169	6	,	,	PUNCT
ajst-4785	169	7	et	et	PROPN
ajst-4785	169	8	al	al	PROPN
ajst-4785	169	9	.	.	PUNCT
ajst-4785	170	1	deep	deep	ADJ
ajst-4785	170	2	learning	learning	NOUN
ajst-4785	170	3	in	in	ADP
ajst-4785	170	4	environmental	environmental	ADJ
ajst-4785	170	5	remote	remote	ADJ
ajst-4785	170	6	sensing	sensing	NOUN
ajst-4785	170	7	:	:	PUNCT
ajst-4785	170	8	achievements	achievement	NOUN
ajst-4785	170	9	and	and	CCONJ
ajst-4785	170	10	challenges[j	challenges[j	NOUN
ajst-4785	170	11	]	]	PUNCT
ajst-4785	170	12	.	.	PUNCT
ajst-4785	171	1	remote	remote	ADJ
ajst-4785	171	2	sensing	sensing	NOUN
ajst-4785	171	3	of	of	ADP
ajst-4785	171	4	environment	environment	NOUN
ajst-4785	171	5	,	,	PUNCT
ajst-4785	171	6	2020	2020	NUM
ajst-4785	171	7	,	,	PUNCT
ajst-4785	171	8	241(111716	241(111716	NOUN
ajst-4785	171	9	)	)	PUNCT
ajst-4785	171	10	.	.	PUNCT
ajst-4785	172	1	[	[	X
ajst-4785	172	2	19	19	NUM
ajst-4785	172	3	]	]	X
ajst-4785	172	4	goodfellow	goodfellow	PROPN
ajst-4785	172	5	i	i	PROPN
ajst-4785	172	6	,	,	PUNCT
ajst-4785	172	7	bengio	bengio	PROPN
ajst-4785	172	8	y	y	PROPN
ajst-4785	172	9	,	,	PUNCT
ajst-4785	172	10	courville	courville	ADJ
ajst-4785	172	11	a.	a.	NOUN
ajst-4785	172	12	deep	deep	ADJ
ajst-4785	172	13	learning	learning	PROPN
ajst-4785	172	14	[	[	X
ajst-4785	172	15	m	m	X
ajst-4785	172	16	]	]	X
ajst-4785	172	17	.	.	PUNCT
ajst-4785	173	1	cambridge	cambridge	PROPN
ajst-4785	173	2	:	:	PUNCT
ajst-4785	173	3	the	the	DET
ajst-4785	173	4	mit	mit	PROPN
ajst-4785	173	5	press	press	NOUN
ajst-4785	173	6	,	,	PUNCT
ajst-4785	173	7	2016	2016	NUM
ajst-4785	173	8	.	.	PUNCT
ajst-4785	174	1	[	[	X
ajst-4785	174	2	20	20	NUM
ajst-4785	174	3	]	]	X
ajst-4785	174	4	zhou	zhou	PROPN
ajst-4785	174	5	chenghu	chenghu	PROPN
ajst-4785	174	6	,	,	PUNCT
ajst-4785	174	7	luo	luo	PROPN
ajst-4785	174	8	jiancheng	jiancheng	PROPN
ajst-4785	174	9	geoscience	geoscience	PROPN
ajst-4785	174	10	calculation	calculation	NOUN
ajst-4785	174	11	of	of	ADP
ajst-4785	174	12	high	high	ADJ
ajst-4785	174	13	resolution	resolution	NOUN
ajst-4785	174	14	satellite	satellite	NOUN
ajst-4785	174	15	remote	remote	ADJ
ajst-4785	174	16	sensing	sense	VERB
ajst-4785	174	17	image	image	NOUN
ajst-4785	174	18	[	[	X
ajst-4785	174	19	m	m	X
ajst-4785	174	20	]	]	X
ajst-4785	174	21	beijing	beijing	PROPN
ajst-4785	174	22	science	science	PROPN
ajst-4785	174	23	press	press	PROPN
ajst-4785	174	24	,	,	PUNCT
ajst-4785	174	25	2008	2008	NUM
ajst-4785	174	26	.	.	PUNCT
ajst-4785	175	1	[	[	X
ajst-4785	175	2	21	21	NUM
ajst-4785	175	3	]	]	X
ajst-4785	175	4	gong	gong	PROPN
ajst-4785	175	5	peng	peng	PROPN
ajst-4785	175	6	a	a	DET
ajst-4785	175	7	view	view	NOUN
ajst-4785	175	8	on	on	ADP
ajst-4785	175	9	the	the	DET
ajst-4785	175	10	application	application	NOUN
ajst-4785	175	11	of	of	ADP
ajst-4785	175	12	remote	remote	ADJ
ajst-4785	175	13	sensing	sense	VERB
ajst-4785	175	14	science	science	NOUN
ajst-4785	175	15	[	[	X
ajst-4785	175	16	j	j	X
ajst-4785	175	17	]	]	X
ajst-4785	175	18	journal	journal	NOUN
ajst-4785	175	19	of	of	ADP
ajst-4785	175	20	remote	remote	ADJ
ajst-4785	175	21	sensing	sensing	NOUN
ajst-4785	175	22	,	,	PUNCT
ajst-4785	175	23	2019	2019	NUM
ajst-4785	175	24	,	,	PUNCT
ajst-4785	175	25	23	23	NUM
ajst-4785	175	26	(	(	PUNCT
ajst-4785	175	27	4	4	NUM
ajst-4785	175	28	):	):	PUNCT
ajst-4785	175	29	567	567	NUM
ajst-4785	175	30	-	-	SYM
ajst-4785	175	31	569	569	NUM
ajst-4785	175	32	.	.	PUNCT
ajst-4785	176	1	[	[	X
ajst-4785	176	2	22	22	NUM
ajst-4785	176	3	]	]	X
ajst-4785	176	4	blaschke	blaschke	ADJ
ajst-4785	176	5	t.	t.	PROPN
ajst-4785	176	6	object	object	NOUN
ajst-4785	176	7	based	base	VERB
ajst-4785	176	8	image	image	NOUN
ajst-4785	176	9	analysis	analysis	NOUN
ajst-4785	176	10	for	for	ADP
ajst-4785	176	11	remote	remote	ADJ
ajst-4785	176	12	sensing[j	sensing[j	NOUN
ajst-4785	176	13	]	]	PUNCT
ajst-4785	176	14	.	.	PUNCT
ajst-4785	177	1	isprs	isprs	PROPN
ajst-4785	177	2	journal	journal	PROPN
ajst-4785	177	3	of	of	ADP
ajst-4785	177	4	photogrammetry	photogrammetry	NOUN
ajst-4785	177	5	and	and	CCONJ
ajst-4785	177	6	remotesensing	remotesensing	NOUN
ajst-4785	177	7	,	,	PUNCT
ajst-4785	177	8	2010	2010	NUM
ajst-4785	177	9	,	,	PUNCT
ajst-4785	177	10	65(1	65(1	NOUN
ajst-4785	177	11	):	):	PUNCT
ajst-4785	177	12	2	2	NUM
ajst-4785	177	13	-	-	SYM
ajst-4785	177	14	16	16	NUM
ajst-4785	177	15	.	.	PUNCT
ajst-4785	178	1	[	[	X
ajst-4785	178	2	23	23	NUM
ajst-4785	178	3	]	]	X
ajst-4785	178	4	blaschke	blaschke	PROPN
ajst-4785	178	5	t	t	PROPN
ajst-4785	178	6	,	,	PUNCT
ajst-4785	178	7	hay	hay	PROPN
ajst-4785	178	8	g	g	PROPN
ajst-4785	178	9	j	j	PROPN
ajst-4785	178	10	,	,	PUNCT
ajst-4785	178	11	kelly	kelly	PROPN
ajst-4785	178	12	m	m	PROPN
ajst-4785	178	13	,	,	PUNCT
ajst-4785	178	14	et	et	PROPN
ajst-4785	178	15	al	al	PROPN
ajst-4785	178	16	.	.	PROPN
ajst-4785	179	1	geographic	geographic	ADJ
ajst-4785	179	2	objectbased	objectbase	VERB
ajst-4785	179	3	image	image	NOUN
ajst-4785	179	4	analysis	analysis	NOUN
ajst-4785	179	5	-	-	PUNCT
ajst-4785	179	6	towards	towards	ADP
ajst-4785	179	7	a	a	DET
ajst-4785	179	8	new	new	ADJ
ajst-4785	179	9	paradigm[j	paradigm[j	NOUN
ajst-4785	179	10	]	]	PUNCT
ajst-4785	179	11	.	.	PUNCT
ajst-4785	180	1	isprs	isprs	PROPN
ajst-4785	180	2	journal	journal	PROPN
ajst-4785	180	3	of	of	ADP
ajst-4785	180	4	photogrammetry	photogrammetry	NOUN
ajst-4785	180	5	and	and	CCONJ
ajst-4785	180	6	remote	remote	ADJ
ajst-4785	180	7	sensing	sensing	NOUN
ajst-4785	180	8	,	,	PUNCT
ajst-4785	180	9	2014	2014	NUM
ajst-4785	180	10	,	,	PUNCT
ajst-4785	180	11	87	87	NUM
ajst-4785	180	12	:	:	SYM
ajst-4785	180	13	180	180	NUM
ajst-4785	180	14	-	-	SYM
ajst-4785	180	15	191	191	NUM
ajst-4785	180	16	.	.	PUNCT
ajst-4785	181	1	[	[	X
ajst-4785	181	2	24	24	NUM
ajst-4785	181	3	]	]	X
ajst-4785	181	4	zhu	zhu	PROPN
ajst-4785	181	5	a	a	DET
ajst-4785	181	6	x	x	NOUN
ajst-4785	181	7	,	,	PUNCT
ajst-4785	181	8	band	band	NOUN
ajst-4785	181	9	l	l	PROPN
ajst-4785	181	10	e.	e.	PROPN
ajst-4785	182	1	a	a	DET
ajst-4785	182	2	knowledge	knowledge	NOUN
ajst-4785	182	3	-	-	PUNCT
ajst-4785	182	4	based	base	VERB
ajst-4785	182	5	approach	approach	NOUN
ajst-4785	182	6	to	to	ADP
ajst-4785	182	7	dataintegration	dataintegration	NOUN
ajst-4785	182	8	for	for	ADP
ajst-4785	182	9	soil	soil	NOUN
ajst-4785	182	10	mapping[j].canadian	mapping[j].canadian	PROPN
ajst-4785	182	11	journal	journal	NOUN
ajst-4785	182	12	of	of	ADP
ajst-4785	182	13	remote	remote	ADJ
ajst-4785	182	14	sensing	sensing	NOUN
ajst-4785	182	15	,	,	PUNCT
ajst-4785	182	16	1994	1994	NUM
ajst-4785	182	17	,	,	PUNCT
ajst-4785	182	18	20(4	20(4	NOUN
ajst-4785	182	19	):	):	PUNCT
ajst-4785	182	20	408	408	NUM
ajst-4785	182	21	-	-	SYM
ajst-4785	182	22	418	418	NUM
ajst-4785	182	23	.	.	PUNCT
ajst-4785	183	1	[	[	X
ajst-4785	183	2	25	25	NUM
ajst-4785	183	3	]	]	X
ajst-4785	183	4	yan	yan	PROPN
ajst-4785	183	5	shouyong	shouyong	PROPN
ajst-4785	183	6	theory	theory	NOUN
ajst-4785	183	7	and	and	CCONJ
ajst-4785	183	8	method	method	NOUN
ajst-4785	183	9	of	of	ADP
ajst-4785	183	10	remote	remote	ADJ
ajst-4785	183	11	sensing	sense	VERB
ajst-4785	183	12	image	image	NOUN
ajst-4785	183	13	group	group	NOUN
ajst-4785	183	14	interpretation	interpretation	NOUN
ajst-4785	183	15	[	[	X
ajst-4785	183	16	m	m	X
ajst-4785	183	17	]	]	X
ajst-4785	183	18	beijing	beijing	PROPN
ajst-4785	183	19	ocean	ocean	PROPN
ajst-4785	183	20	press	press	PROPN
ajst-4785	183	21	,	,	PUNCT
ajst-4785	183	22	2007	2007	NUM
ajst-4785	183	23	.	.	PUNCT
ajst-4785	184	1	[	[	X
ajst-4785	184	2	26	26	NUM
ajst-4785	184	3	]	]	X
ajst-4785	184	4	yao	yao	PROPN
ajst-4785	184	5	y	y	PROPN
ajst-4785	184	6	h	h	PROPN
ajst-4785	184	7	,	,	PUNCT
ajst-4785	184	8	suonan	suonan	NOUN
ajst-4785	184	9	d	d	PROPN
ajst-4785	184	10	z	z	PROPN
ajst-4785	184	11	,	,	PUNCT
ajst-4785	184	12	zhang	zhang	PROPN
ajst-4785	184	13	j	j	PROPN
ajst-4785	184	14	y.	y.	PROPN
ajst-4785	184	15	compilation	compilation	PROPN
ajst-4785	184	16	of	of	ADP
ajst-4785	184	17	1:50	1:50	NUM
ajst-4785	184	18	000	000	NUM
ajst-4785	184	19	vegetation	vegetation	NOUN
ajst-4785	184	20	type	type	NOUN
ajst-4785	184	21	map	map	NOUN
ajst-4785	184	22	with	with	ADP
ajst-4785	184	23	remote	remote	ADJ
ajst-4785	184	24	sensing	sensing	NOUN
ajst-4785	184	25	imagesbased	imagesbase	VERB
ajst-4785	184	26	on	on	ADP
ajst-4785	184	27	mountain	mountain	NOUN
ajst-4785	184	28	altitudinal	altitudinal	ADJ
ajst-4785	184	29	belts	belt	NOUN
ajst-4785	184	30	of	of	ADP
ajst-4785	184	31	taibai	taibai	PROPN
ajst-4785	184	32	mountain	mountain	PROPN
ajst-4785	184	33	inthe	inthe	DET
ajst-4785	184	34	northsouth	northsouth	NOUN
ajst-4785	184	35	transitional	transitional	ADJ
ajst-4785	184	36	zone	zone	NOUN
ajst-4785	184	37	of	of	ADP
ajst-4785	184	38	china[j	china[j	PROPN
ajst-4785	184	39	]	]	PUNCT
ajst-4785	184	40	.	.	PUNCT
ajst-4785	185	1	journal	journal	PROPN
ajst-4785	185	2	of	of	ADP
ajst-4785	185	3	geographical	geographical	ADJ
ajst-4785	185	4	sciences	science	NOUN
ajst-4785	185	5	,	,	PUNCT
ajst-4785	185	6	2020	2020	NUM
ajst-4785	185	7	,	,	PUNCT
ajst-4785	185	8	30(2	30(2	NUM
ajst-4785	185	9	):	):	PUNCT
ajst-4785	185	10	267	267	NUM
ajst-4785	185	11	-	-	SYM
ajst-4785	185	12	280	280	NUM
ajst-4785	185	13	.	.	PUNCT
ajst-4785	185	14	56	56	NUM
ajst-4785	186	1	[	[	SYM
ajst-4785	186	2	27	27	NUM
ajst-4785	186	3	]	]	PUNCT
ajst-4785	186	4	rahbek	rahbek	NOUN
ajst-4785	186	5	c	c	NOUN
ajst-4785	186	6	,	,	PUNCT
ajst-4785	186	7	borregaard	borregaard	PROPN
ajst-4785	186	8	m	m	PROPN
ajst-4785	186	9	k	k	PROPN
ajst-4785	186	10	,	,	PUNCT
ajst-4785	186	11	colwell	colwell	PROPN
ajst-4785	186	12	r	r	PROPN
ajst-4785	186	13	k	k	PROPN
ajst-4785	186	14	,	,	PUNCT
ajst-4785	186	15	et	et	PROPN
ajst-4785	186	16	al	al	PROPN
ajst-4785	186	17	.	.	PUNCT
ajst-4785	187	1	humboldt	humboldt	PROPN
ajst-4785	187	2	's	's	PART
ajst-4785	187	3	enigma	enigma	NOUN
ajst-4785	187	4	:	:	PUNCT
ajst-4785	187	5	what	what	PRON
ajst-4785	187	6	causes	cause	VERB
ajst-4785	187	7	global	global	ADJ
ajst-4785	187	8	patterns	pattern	NOUN
ajst-4785	187	9	of	of	ADP
ajst-4785	187	10	mountain	mountain	NOUN
ajst-4785	187	11	biodiversity[j	biodiversity[j	NOUN
ajst-4785	187	12	]	]	PUNCT
ajst-4785	187	13	.	.	PUNCT
ajst-4785	188	1	science	science	NOUN
ajst-4785	188	2	,	,	PUNCT
ajst-4785	188	3	2019	2019	NUM
ajst-4785	188	4	,	,	PUNCT
ajst-4785	188	5	365(6458	365(6458	NUM
ajst-4785	188	6	):	):	PUNCT
ajst-4785	188	7	1108	1108	NUM
ajst-4785	188	8	-	-	SYM
ajst-4785	188	9	1113	1113	NUM
ajst-4785	188	10	.	.	PUNCT
ajst-4785	189	1	[	[	X
ajst-4785	189	2	28	28	NUM
ajst-4785	189	3	]	]	X
ajst-4785	189	4	fattorini	fattorini	PROPN
ajst-4785	189	5	s	s	PROPN
ajst-4785	189	6	,	,	PUNCT
ajst-4785	189	7	di	di	PROPN
ajst-4785	189	8	b	b	PROPN
ajst-4785	189	9	l	l	NOUN
ajst-4785	189	10	,	,	PUNCT
ajst-4785	189	11	chiarucci	chiarucci	ADJ
ajst-4785	189	12	a.	a.	NOUN
ajst-4785	189	13	recognizing	recognizing	NOUN
ajst-4785	189	14	and	and	CCONJ
ajst-4785	189	15	interpreting	interpret	VERB
ajst-4785	189	16	vegetational	vegetational	ADJ
ajst-4785	189	17	belts	belt	NOUN
ajst-4785	189	18	:	:	PUNCT
ajst-4785	189	19	new	new	ADJ
ajst-4785	189	20	wine	wine	NOUN
ajst-4785	189	21	in	in	ADP
ajst-4785	189	22	the	the	DET
ajst-4785	189	23	old	old	ADJ
ajst-4785	189	24	bottles	bottle	NOUN
ajst-4785	189	25	ofa	ofa	PROPN
ajst-4785	189	26	von	von	PROPN
ajst-4785	189	27	humboldt	humboldt	PROPN
ajst-4785	189	28	's	's	PART
ajst-4785	189	29	legacy[j	legacy[j	PROPN
ajst-4785	189	30	]	]	PUNCT
ajst-4785	189	31	.	.	PUNCT
ajst-4785	190	1	journal	journal	PROPN
ajst-4785	190	2	of	of	ADP
ajst-4785	190	3	biogeography	biogeography	NOUN
ajst-4785	190	4	,	,	PUNCT
ajst-4785	190	5	2019	2019	NUM
ajst-4785	190	6	,	,	PUNCT
ajst-4785	190	7	46(8	46(8	NOUN
ajst-4785	190	8	):	):	PUNCT
ajst-4785	190	9	16431651	16431651	NUM
ajst-4785	190	10	.	.	PUNCT
ajst-4785	191	1	[	[	X
ajst-4785	191	2	29	29	NUM
ajst-4785	191	3	]	]	X
ajst-4785	191	4	zhang	zhang	PROPN
ajst-4785	191	5	baiping	baiping	PROPN
ajst-4785	191	6	,	,	PUNCT
ajst-4785	191	7	zhou	zhou	PROPN
ajst-4785	191	8	chenghu	chenghu	PROPN
ajst-4785	191	9	,	,	PUNCT
ajst-4785	191	10	state	state	NOUN
ajst-4785	191	11	peng	peng	PROPN
ajst-4785	191	12	discussion	discussion	NOUN
ajst-4785	191	13	on	on	ADP
ajst-4785	191	14	the	the	DET
ajst-4785	191	15	information	information	NOUN
ajst-4785	191	16	atlas	atlas	PROPN
ajst-4785	191	17	of	of	ADP
ajst-4785	191	18	china	china	PROPN
ajst-4785	191	19	's	's	PART
ajst-4785	191	20	ft	ft	PROPN
ajst-4785	191	21	vertical	vertical	ADJ
ajst-4785	191	22	belt	belt	NOUN
ajst-4785	192	1	[	[	X
ajst-4785	192	2	j	j	X
ajst-4785	192	3	]	]	X
ajst-4785	192	4	journal	journal	NOUN
ajst-4785	192	5	of	of	ADP
ajst-4785	192	6	geography	geography	NOUN
ajst-4785	192	7	,	,	PUNCT
ajst-4785	192	8	2003	2003	NUM
ajst-4785	192	9	,	,	PUNCT
ajst-4785	192	10	58	58	NUM
ajst-4785	192	11	(	(	PUNCT
ajst-4785	192	12	2	2	NUM
ajst-4785	192	13	):	):	PUNCT
ajst-4785	192	14	163	163	NUM
ajst-4785	192	15	-	-	SYM
ajst-4785	192	16	171	171	NUM
ajst-4785	192	17	.	.	PUNCT
ajst-4785	193	1	[	[	X
ajst-4785	193	2	30	30	NUM
ajst-4785	193	3	]	]	PUNCT
ajst-4785	193	4	ranjan	ranjan	NOUN
ajst-4785	193	5	a	a	DET
ajst-4785	193	6	k	k	PROPN
ajst-4785	193	7	,	,	PUNCT
ajst-4785	193	8	patra	patra	PROPN
ajst-4785	193	9	a	a	PROPN
ajst-4785	193	10	k	k	PROPN
ajst-4785	193	11	,	,	PUNCT
ajst-4785	193	12	gorai	gorai	VERB
ajst-4785	193	13	a	a	DET
ajst-4785	193	14	k.	k.	NOUN
ajst-4785	193	15	a	a	DET
ajst-4785	193	16	review	review	NOUN
ajst-4785	193	17	on	on	ADP
ajst-4785	193	18	estimation	estimation	NOUN
ajst-4785	193	19	of	of	ADP
ajst-4785	193	20	particulate	particulate	NOUN
ajst-4785	193	21	matter	matter	NOUN
ajst-4785	193	22	from	from	ADP
ajst-4785	193	23	satellitebased	satellitebased	ADJ
ajst-4785	193	24	aerosol	aerosol	VERB
ajst-4785	193	25	optical	optical	ADJ
ajst-4785	193	26	depth	depth	NOUN
ajst-4785	193	27	:	:	PUNCT
ajst-4785	193	28	data	datum	NOUN
ajst-4785	193	29	,	,	PUNCT
ajst-4785	193	30	methods	method	NOUN
ajst-4785	193	31	,	,	PUNCT
ajst-4785	193	32	and	and	CCONJ
ajst-4785	193	33	challenges[j	challenges[j	PROPN
ajst-4785	193	34	]	]	PUNCT
ajst-4785	193	35	.	.	PUNCT
ajst-4785	194	1	asia	asia	PROPN
ajst-4785	194	2	-	-	PUNCT
ajst-4785	194	3	pacific	pacific	PROPN
ajst-4785	194	4	journal	journal	PROPN
ajst-4785	194	5	of	of	ADP
ajst-4785	194	6	atmosp	atmosp	PROPN
ajst-4785	194	7	heric	heric	PROPN
ajst-4785	194	8	sciences	sciences	PROPN
ajst-4785	194	9	,	,	PUNCT
ajst-4785	194	10	2020	2020	NUM
ajst-4785	194	11	,	,	PUNCT
ajst-4785	194	12	57(3	57(3	NUM
ajst-4785	194	13	):	):	PUNCT
ajst-4785	194	14	679	679	NUM
ajst-4785	194	15	-	-	SYM
ajst-4785	194	16	699	699	NUM
ajst-4785	194	17	.	.	PUNCT
ajst-4785	195	1	[	[	X
ajst-4785	195	2	31	31	NUM
ajst-4785	195	3	]	]	PUNCT
ajst-4785	195	4	wang	wang	PROPN
ajst-4785	195	5	jun	jun	PROPN
ajst-4785	195	6	,	,	PUNCT
ajst-4785	195	7	christopsir	christopsir	PROPN
ajst-4785	195	8	s	s	PART
ajst-4785	195	9	a.	a.	NOUN
ajst-4785	195	10	intercomparison	intercomparison	PROPN
ajst-4785	195	11	between	between	ADP
ajst-4785	195	12	satellitederived	satellitederive	VERB
ajst-4785	195	13	aerosol	aerosol	NOUN
ajst-4785	195	14	optical	optical	ADJ
ajst-4785	195	15	thickne	thickne	NOUN
ajst-4785	195	16	ss	ss	PROPN
ajst-4785	195	17	and	and	CCONJ
ajst-4785	195	18	pm2.5	pm2.5	DET
ajst-4785	195	19	mass	mass	ADJ
ajst-4785	195	20	:	:	PUNCT
ajst-4785	195	21	implications	implication	NOUN
ajst-4785	195	22	for	for	ADP
ajst-4785	195	23	air	air	NOUN
ajst-4785	195	24	quality	quality	PROPN
ajst-4785	195	25	studies[j	studies[j	PROPN
ajst-4785	195	26	]	]	PUNCT
ajst-4785	195	27	.	.	PUNCT
ajst-4785	196	1	geophysical	geophysical	ADJ
ajst-4785	196	2	research	research	NOUN
ajst-4785	196	3	letters	letter	NOUN
ajst-4785	196	4	,	,	PUNCT
ajst-4785	196	5	200	200	NUM
ajst-4785	196	6	3	3	NUM
ajst-4785	196	7	,	,	PUNCT
ajst-4785	196	8	30(21	30(21	NUM
ajst-4785	196	9	):	):	PUNCT
ajst-4785	196	10	2095	2095	NUM
ajst-4785	196	11	.	.	PUNCT
ajst-4785	197	1	[	[	X
ajst-4785	197	2	32	32	NUM
ajst-4785	197	3	]	]	X
ajst-4785	197	4	engel	engel	PROPN
ajst-4785	197	5	-	-	PUNCT
ajst-4785	197	6	cox	cox	PROPN
ajst-4785	197	7	j	j	PROPN
ajst-4785	197	8	a	a	PROPN
ajst-4785	197	9	,	,	PUNCT
ajst-4785	197	10	holloman	holloman	PROPN
ajst-4785	197	11	c	c	PROPN
ajst-4785	197	12	h	h	PROPN
ajst-4785	197	13	,	,	PUNCT
ajst-4785	197	14	coutant	coutant	PROPN
ajst-4785	197	15	b	b	PROPN
ajst-4785	197	16	w	w	PROPN
ajst-4785	197	17	,	,	PUNCT
ajst-4785	197	18	et	et	PROPN
ajst-4785	197	19	al	al	PROPN
ajst-4785	197	20	.	.	PROPN
ajst-4785	197	21	qualitative	qualitative	PROPN
ajst-4785	197	22	and	and	CCONJ
ajst-4785	197	23	quantitative	quantitative	ADJ
ajst-4785	197	24	evaluation	evaluation	NOUN
ajst-4785	197	25	of	of	ADP
ajst-4785	197	26	modis	modis	PROPN
ajst-4785	197	27	satellite	satellite	PROPN
ajst-4785	197	28	sensor	sensor	NOUN
ajst-4785	197	29	data	datum	NOUN
ajst-4785	197	30	for	for	ADP
ajst-4785	197	31	regional	regional	ADJ
ajst-4785	197	32	and	and	CCONJ
ajst-4785	197	33	urban	urban	ADJ
ajst-4785	197	34	scale	scale	NOUN
ajst-4785	197	35	air	air	PROPN
ajst-4785	197	36	quality[j	quality[j	PROPN
ajst-4785	197	37	]	]	PUNCT
ajst-4785	197	38	.	.	PUNCT
ajst-4785	198	1	atmospheric	atmospheric	PROPN
ajst-4785	198	2	environ	environ	X
ajst-4785	198	3	ment	ment	PROPN
ajst-4785	198	4	,	,	PUNCT
ajst-4785	198	5	2004	2004	NUM
ajst-4785	198	6	,	,	PUNCT
ajst-4785	198	7	38(16	38(16	NUM
ajst-4785	198	8	):	):	PUNCT
ajst-4785	198	9	2495	2495	NUM
ajst-4785	198	10	-	-	SYM
ajst-4785	198	11	2509	2509	NUM
ajst-4785	198	12	.	.	PUNCT
ajst-4785	199	1	[	[	X
ajst-4785	199	2	33	33	NUM
ajst-4785	199	3	]	]	PUNCT
ajst-4785	199	4	guptaa	guptaa	PROPN
ajst-4785	199	5	p	p	X
ajst-4785	199	6	,	,	PUNCT
ajst-4785	199	7	christopher	christopher	PROPN
ajst-4785	199	8	s	s	PROPN
ajst-4785	199	9	a.	a.	NOUN
ajst-4785	199	10	particulate	particulate	NOUN
ajst-4785	199	11	matter	matter	NOUN
ajst-4785	199	12	air	air	NOUN
ajst-4785	199	13	quality	quality	NOUN
ajst-4785	199	14	assessment	assessment	NOUN
ajst-4785	199	15	using	use	VERB
ajst-4785	199	16	integrated	integrated	ADJ
ajst-4785	199	17	surface	surface	NOUN
ajst-4785	199	18	,	,	PUNCT
ajst-4785	199	19	s	s	VERB
ajst-4785	199	20	atellite	atellite	NOUN
ajst-4785	199	21	,	,	PUNCT
ajst-4785	199	22	and	and	CCONJ
ajst-4785	199	23	meteorological	meteorological	ADJ
ajst-4785	199	24	products	product	NOUN
ajst-4785	199	25	:	:	PUNCT
ajst-4785	199	26	multiple	multiple	ADJ
ajst-4785	199	27	regression	regression	NOUN
ajst-4785	199	28	approach[j	approach[j	PROPN
ajst-4785	199	29	]	]	PUNCT
ajst-4785	199	30	.	.	PUNCT
ajst-4785	200	1	journal	journal	PROPN
ajst-4785	200	2	of	of	ADP
ajst-4785	200	3	geophysical	geophysical	ADJ
ajst-4785	200	4	research	research	NOUN
ajst-4785	200	5	,	,	PUNCT
ajst-4785	200	6	2009	2009	NUM
ajst-4785	200	7	,	,	PUNCT
ajst-4785	200	8	114	114	NUM
ajst-4785	200	9	:	:	PUNCT
ajst-4785	200	10	d14205	d14205	NOUN
ajst-4785	200	11	.	.	PUNCT
ajst-4785	201	1	[	[	X
ajst-4785	201	2	34	34	NUM
ajst-4785	201	3	]	]	X
ajst-4785	201	4	li	li	PROPN
ajst-4785	201	5	xiaotian	xiaotian	PROPN
ajst-4785	201	6	,	,	PUNCT
ajst-4785	201	7	wu	wu	PROPN
ajst-4785	201	8	shaohua	shaohua	PROPN
ajst-4785	201	9	,	,	PUNCT
ajst-4785	201	10	xu	xu	PROPN
ajst-4785	201	11	yuyue	yuyue	PROPN
ajst-4785	201	12	,	,	PUNCT
ajst-4785	201	13	et	et	PROPN
ajst-4785	201	14	al	al	PROPN
ajst-4785	201	15	simulation	simulation	NOUN
ajst-4785	201	16	of	of	ADP
ajst-4785	201	17	temporal	temporal	ADJ
ajst-4785	201	18	and	and	CCONJ
ajst-4785	201	19	spatial	spatial	ADJ
ajst-4785	201	20	variation	variation	NOUN
ajst-4785	201	21	pattern	pattern	NOUN
ajst-4785	201	22	of	of	ADP
ajst-4785	201	23	pm2.5	pm2.5	DET
ajst-4785	201	24	mass	mass	ADJ
ajst-4785	201	25	concentration	concentration	NOUN
ajst-4785	201	26	in	in	ADP
ajst-4785	201	27	jiangsu	jiangsu	PROPN
ajst-4785	201	28	province	province	PROPN
ajst-4785	202	1	[	[	X
ajst-4785	202	2	j	j	X
ajst-4785	202	3	]	]	X
ajst-4785	202	4	environmental	environmental	ADJ
ajst-4785	202	5	monitoringmanagement	monitoringmanagement	NOUN
ajst-4785	202	6	and	and	CCONJ
ajst-4785	202	7	technology	technology	NOUN
ajst-4785	202	8	,	,	PUNCT
ajst-4785	202	9	2017	2017	NUM
ajst-4785	202	10	,	,	PUNCT
ajst-4785	202	11	29	29	NUM
ajst-4785	202	12	(	(	PUNCT
ajst-4785	202	13	2	2	NUM
ajst-4785	202	14	):	):	PUNCT
ajst-4785	202	15	16	16	NUM
ajst-4785	202	16	-	-	SYM
ajst-4785	202	17	20	20	NUM
ajst-4785	202	18	.	.	PUNCT
ajst-4785	203	1	[	[	X
ajst-4785	203	2	35	35	NUM
ajst-4785	203	3	]	]	SYM
ajst-4785	203	4	li	li	PROPN
ajst-4785	203	5	tongwen	tongwen	PROPN
ajst-4785	203	6	,	,	PUNCT
ajst-4785	203	7	shen	shen	PROPN
ajst-4785	203	8	huanfeng	huanfeng	PROPN
ajst-4785	203	9	,	,	PUNCT
ajst-4785	203	10	zeng	zeng	PROPN
ajst-4785	203	11	chao	chao	PROPN
ajst-4785	203	12	,	,	PUNCT
ajst-4785	203	13	et	et	PROPN
ajst-4785	203	14	al	al	PROPN
ajst-4785	203	15	.	.	PUNCT
ajst-4785	203	16	point	point	NOUN
ajst-4785	203	17	-	-	PUNCT
ajst-4785	203	18	surface	surface	NOUN
ajst-4785	203	19	fusion	fusion	NOUN
ajst-4785	203	20	of	of	ADP
ajst-4785	203	21	station	station	NOUN
ajst-4785	203	22	measurements	measurement	NOUN
ajst-4785	203	23	and	and	CCONJ
ajst-4785	203	24	satellite	satellite	NOUN
ajst-4785	203	25	observations	observation	NOUN
ajst-4785	203	26	for	for	ADP
ajst-4785	203	27	mapping	map	VERB
ajst-4785	203	28	pm2.5	pm2.5	DET
ajst-4785	203	29	distribution	distribution	NOUN
ajst-4785	203	30	in	in	ADP
ajst-4785	203	31	china	china	PROPN
ajst-4785	203	32	:	:	PUNCT
ajst-4785	203	33	methods	method	NOUN
ajst-4785	203	34	and	and	CCONJ
ajst-4785	203	35	assessment	assessment	NOUN
ajst-4785	204	1	[	[	X
ajst-4785	204	2	j	j	X
ajst-4785	204	3	]	]	X
ajst-4785	204	4	.	.	PUNCT
ajst-4785	205	1	atmospheric	atmospheric	PROPN
ajst-4785	205	2	environment	environment	NOUN
ajst-4785	205	3	,	,	PUNCT
ajst-4785	205	4	2017	2017	NUM
ajst-4785	205	5	,	,	PUNCT
ajst-4785	205	6	152	152	NUM
ajst-4785	205	7	:	:	SYM
ajst-4785	205	8	477	477	NUM
ajst-4785	205	9	-	-	SYM
ajst-4785	205	10	489	489	NUM
ajst-4785	205	11	.	.	PUNCT
ajst-4785	206	1	[	[	X
ajst-4785	206	2	36	36	NUM
ajst-4785	206	3	]	]	PUNCT
ajst-4785	206	4	chelani	chelani	PROPN
ajst-4785	206	5	a	a	DET
ajst-4785	206	6	b.	b.	NOUN
ajst-4785	206	7	estimating	estimate	VERB
ajst-4785	206	8	pm2.5	pm2.5	DET
ajst-4785	206	9	concentration	concentration	NOUN
ajst-4785	206	10	from	from	ADP
ajst-4785	206	11	satellite	satellite	NOUN
ajst-4785	206	12	derived	derive	VERB
ajst-4785	206	13	aerosol	aerosol	NOUN
ajst-4785	206	14	optical	optical	ADJ
ajst-4785	206	15	depth	depth	NOUN
ajst-4785	206	16	and	and	CCONJ
ajst-4785	206	17	meteorological	meteorological	ADJ
ajst-4785	206	18	variables	variable	NOUN
ajst-4785	206	19	using	use	VERB
ajst-4785	206	20	a	a	DET
ajst-4785	206	21	combination	combination	NOUN
ajst-4785	206	22	model[j	model[j	NOUN
ajst-4785	206	23	]	]	PUNCT
ajst-4785	206	24	.	.	PUNCT
ajst-4785	207	1	atmospheric	atmospheric	ADJ
ajst-4785	207	2	pollution	pollution	NOUN
ajst-4785	207	3	research	research	NOUN
ajst-4785	207	4	,	,	PUNCT
ajst-4785	207	5	201	201	NUM
ajst-4785	207	6	9	9	NUM
ajst-4785	207	7	,	,	PUNCT
ajst-4785	207	8	10(3	10(3	NUM
ajst-4785	207	9	):	):	PUNCT
ajst-4785	207	10	847	847	NUM
ajst-4785	207	11	-	-	SYM
ajst-4785	207	12	857	857	NUM
ajst-4785	207	13	.	.	PUNCT
ajst-4785	208	1	[	[	X
ajst-4785	208	2	37	37	NUM
ajst-4785	208	3	]	]	X
ajst-4785	208	4	ahmad	ahmad	PROPN
ajst-4785	208	5	m	m	PROPN
ajst-4785	208	6	,	,	PUNCT
ajst-4785	208	7	alam	alam	PROPN
ajst-4785	208	8	k	k	PROPN
ajst-4785	208	9	,	,	PUNCT
ajst-4785	208	10	tariq	tariq	PROPN
ajst-4785	208	11	s	s	PROPN
ajst-4785	208	12	,	,	PUNCT
ajst-4785	208	13	et	et	PROPN
ajst-4785	208	14	al	al	PROPN
ajst-4785	208	15	.	.	PUNCT
ajst-4785	208	16	estimating	estimate	VERB
ajst-4785	208	17	fine	fine	ADJ
ajst-4785	208	18	particulate	particulate	NOUN
ajst-4785	208	19	concentration	concentration	NOUN
ajst-4785	208	20	using	use	VERB
ajst-4785	208	21	a	a	DET
ajst-4785	208	22	combined	combined	ADJ
ajst-4785	208	23	approach	approach	NOUN
ajst-4785	208	24	of	of	ADP
ajst-4785	208	25	linear	linear	PROPN
ajst-4785	208	26	regression	regression	NOUN
ajst-4785	208	27	and	and	CCONJ
ajst-4785	208	28	artificial	artificial	ADJ
ajst-4785	208	29	neural	neural	ADJ
ajst-4785	208	30	network[j	network[j	NOUN
ajst-4785	208	31	]	]	PUNCT
ajst-4785	208	32	.	.	PUNCT
ajst-4785	209	1	atmospheric	atmospheric	PROPN
ajst-4785	209	2	environment	environment	NOUN
ajst-4785	209	3	,	,	PUNCT
ajst-4785	209	4	201	201	NUM
ajst-4785	209	5	9	9	NUM
ajst-4785	209	6	,	,	PUNCT
ajst-4785	209	7	219	219	NUM
ajst-4785	209	8	:	:	SYM
ajst-4785	209	9	117050	117050	NUM
ajst-4785	209	10	.	.	PUNCT
ajst-4785	210	1	[	[	X
ajst-4785	210	2	38	38	NUM
ajst-4785	210	3	]	]	PUNCT
ajst-4785	210	4	shin	shin	PROPN
ajst-4785	210	5	m	m	PROPN
ajst-4785	210	6	,	,	PUNCT
ajst-4785	210	7	kang	kang	PROPN
ajst-4785	210	8	y	y	PROPN
ajst-4785	210	9	,	,	PUNCT
ajst-4785	210	10	papk	papk	NOUN
ajst-4785	210	11	s	s	PART
ajst-4785	210	12	,	,	PUNCT
ajst-4785	210	13	et	et	PROPN
ajst-4785	210	14	al	al	PROPN
ajst-4785	210	15	.	.	PUNCT
ajst-4785	210	16	estimating	estimate	VERB
ajst-4785	210	17	ground	ground	NOUN
ajst-4785	210	18	-	-	PUNCT
ajst-4785	210	19	level	level	NOUN
ajst-4785	210	20	particulate	particulate	NOUN
ajst-4785	210	21	matter	matter	NOUN
ajst-4785	210	22	concentrations	concentration	NOUN
ajst-4785	210	23	usin	usin	VERB
ajst-4785	210	24	g	g	PROPN
ajst-4785	210	25	satellite	satellite	NOUN
ajst-4785	210	26	-	-	PUNCT
ajst-4785	210	27	based	base	VERB
ajst-4785	210	28	data	datum	NOUN
ajst-4785	210	29	:	:	PUNCT
ajst-4785	210	30	a	a	DET
ajst-4785	210	31	review[j	review[j	PROPN
ajst-4785	210	32	]	]	PUNCT
ajst-4785	210	33	.	.	PUNCT
ajst-4785	211	1	giscience	giscience	NOUN
ajst-4785	211	2	&	&	CCONJ
ajst-4785	211	3	remote	remote	ADJ
ajst-4785	211	4	sensing	sensing	NOUN
ajst-4785	211	5	,	,	PUNCT
ajst-4785	211	6	2019	2019	NUM
ajst-4785	211	7	,	,	PUNCT
ajst-4785	211	8	57(2	57(2	NUM
ajst-4785	211	9	):	):	PUNCT
ajst-4785	211	10	174	174	NUM
ajst-4785	211	11	-	-	SYM
ajst-4785	211	12	189	189	NUM
ajst-4785	211	13	.	.	PUNCT
ajst-4785	212	1	[	[	X
ajst-4785	212	2	39	39	NUM
ajst-4785	212	3	]	]	PUNCT
ajst-4785	212	4	xu	xu	PROPN
ajst-4785	212	5	gang	gang	PROPN
ajst-4785	212	6	,	,	PUNCT
ajst-4785	212	7	jiao	jiao	PROPN
ajst-4785	212	8	limin	limin	PROPN
ajst-4785	212	9	,	,	PUNCT
ajst-4785	212	10	xiao	xiao	PROPN
ajst-4785	212	11	fengtao	fengtao	PROPN
ajst-4785	212	12	,	,	PUNCT
ajst-4785	212	13	et	et	PROPN
ajst-4785	212	14	al	al	PROPN
ajst-4785	212	15	the	the	DET
ajst-4785	212	16	land	land	NOUN
ajst-4785	212	17	use	use	NOUN
ajst-4785	212	18	regression	regression	NOUN
ajst-4785	212	19	model	model	NOUN
ajst-4785	212	20	simulates	simulate	VERB
ajst-4785	212	21	the	the	DET
ajst-4785	212	22	spatial	spatial	ADJ
ajst-4785	212	23	distribution	distribution	NOUN
ajst-4785	212	24	of	of	ADP
ajst-4785	212	25	pm2.5	pm2.5	DET
ajst-4785	212	26	concentration	concentration	NOUN
ajst-4785	212	27	in	in	ADP
ajst-4785	212	28	beijing	beijing	PROPN
ajst-4785	212	29	tianjin	tianjin	PROPN
ajst-4785	212	30	hebei	hebei	PROPN
ajst-4785	213	1	[	[	X
ajst-4785	213	2	j	j	X
ajst-4785	213	3	]	]	X
ajst-4785	213	4	.	.	PUNCT
ajst-4785	214	1	drought	drought	NOUN
ajst-4785	214	2	district	district	NOUN
ajst-4785	214	3	resources	resource	NOUN
ajst-4785	214	4	and	and	CCONJ
ajst-4785	214	5	environment	environment	NOUN
ajst-4785	214	6	,	,	PUNCT
ajst-4785	214	7	2016	2016	NUM
ajst-4785	214	8	,	,	PUNCT
ajst-4785	214	9	30	30	NUM
ajst-4785	214	10	(	(	PUNCT
ajst-4785	214	11	10	10	NUM
ajst-4785	214	12	):	):	PUNCT
ajst-4785	214	13	116	116	NUM
ajst-4785	214	14	-	-	SYM
ajst-4785	214	15	120	120	NUM
ajst-4785	214	16	.	.	PUNCT
ajst-4785	215	1	[	[	X
ajst-4785	215	2	40	40	NUM
ajst-4785	215	3	]	]	PUNCT
ajst-4785	215	4	li	li	PROPN
ajst-4785	215	5	runkui	runkui	PROPN
ajst-4785	215	6	,	,	PUNCT
ajst-4785	215	7	ma	ma	PROPN
ajst-4785	215	8	tianxiao	tianxiao	PROPN
ajst-4785	215	9	,	,	PUNCT
ajst-4785	215	10	xu	xu	PROPN
ajst-4785	215	11	qun	qun	PROPN
ajst-4785	215	12	,	,	PUNCT
ajst-4785	215	13	et	et	PROPN
ajst-4785	215	14	al	al	PROPN
ajst-4785	215	15	.	.	PUNCT
ajst-4785	216	1	using	use	VERB
ajst-4785	216	2	maiac	maiac	PROPN
ajst-4785	216	3	aod	aod	PROPN
ajst-4785	216	4	to	to	PART
ajst-4785	216	5	verify	verify	VERB
ajst-4785	216	6	the	the	DET
ajst-4785	216	7	pm2.5	pm2.5	PROPN
ajst-4785	216	8	spatial	spatial	ADJ
ajst-4785	216	9	patte	patte	PROPN
ajst-4785	216	10	rns	rn	NOUN
ajst-4785	216	11	of	of	ADP
ajst-4785	216	12	a	a	DET
ajst-4785	216	13	land	land	NOUN
ajst-4785	216	14	use	use	NOUN
ajst-4785	216	15	regression	regression	NOUN
ajst-4785	216	16	model[j	model[j	PROPN
ajst-4785	216	17	]	]	X
ajst-4785	216	18	.	.	PUNCT
ajst-4785	217	1	environmental	environmental	ADJ
ajst-4785	217	2	pollution	pollution	NOUN
ajst-4785	217	3	,	,	PUNCT
ajst-4785	217	4	2018	2018	NUM
ajst-4785	217	5	,	,	PUNCT
ajst-4785	217	6	243	243	NUM
ajst-4785	217	7	:	:	SYM
ajst-4785	217	8	501	501	NUM
ajst-4785	217	9	-	-	SYM
ajst-4785	217	10	509	509	NUM
ajst-4785	217	11	.	.	PUNCT
ajst-4785	218	1	[	[	X
ajst-4785	218	2	41	41	NUM
ajst-4785	218	3	]	]	X
ajst-4785	218	4	lee	lee	PROPN
ajst-4785	218	5	h	h	PROPN
ajst-4785	218	6	j	j	PROPN
ajst-4785	218	7	,	,	PUNCT
ajst-4785	218	8	liu	liu	PROPN
ajst-4785	218	9	y	y	PROPN
ajst-4785	218	10	,	,	PUNCT
ajst-4785	218	11	coull	coull	PROPN
ajst-4785	218	12	b	b	PROPN
ajst-4785	218	13	a	a	PRON
ajst-4785	218	14	,	,	PUNCT
ajst-4785	218	15	et	et	PROPN
ajst-4785	218	16	al	al	PROPN
ajst-4785	218	17	.	.	PUNCT
ajst-4785	219	1	a	a	DET
ajst-4785	219	2	novel	novel	ADJ
ajst-4785	219	3	calibration	calibration	NOUN
ajst-4785	219	4	approach	approach	NOUN
ajst-4785	219	5	of	of	ADP
ajst-4785	219	6	modis	modis	PROPN
ajst-4785	219	7	aod	aod	PROPN
ajst-4785	219	8	data	data	PROPN
ajst-4785	219	9	to	to	PART
ajst-4785	219	10	predict	predict	VERB
ajst-4785	219	11	pm2.5	pm2.5	DET
ajst-4785	219	12	concentrations[j	concentrations[j	NOUN
ajst-4785	219	13	]	]	PUNCT
ajst-4785	219	14	.	.	PUNCT
ajst-4785	220	1	atmospheric	atmospheric	ADJ
ajst-4785	220	2	chemistry	chemistry	NOUN
ajst-4785	220	3	and	and	CCONJ
ajst-4785	220	4	physics	physics	NOUN
ajst-4785	220	5	,	,	PUNCT
ajst-4785	220	6	2011	2011	NUM
ajst-4785	220	7	,	,	PUNCT
ajst-4785	220	8	11(15	11(15	NUM
ajst-4785	220	9	):	):	PUNCT
ajst-4785	220	10	7991	7991	NUM
ajst-4785	220	11	-	-	SYM
ajst-4785	220	12	8002	8002	NUM
ajst-4785	220	13	.	.	PUNCT
ajst-4785	221	1	[	[	X
ajst-4785	221	2	42	42	NUM
ajst-4785	221	3	]	]	PUNCT
ajst-4785	221	4	xu	xu	PROPN
ajst-4785	222	1	xinghan	xinghan	PROPN
ajst-4785	222	2	,	,	PUNCT
ajst-4785	222	3	zhang	zhang	PROPN
ajst-4785	222	4	chengkun	chengkun	PROPN
ajst-4785	222	5	,	,	PUNCT
ajst-4785	222	6	liang	liang	PROPN
ajst-4785	222	7	yi	yi	PROPN
ajst-4785	222	8	.	.	PUNCT
ajst-4785	223	1	review	review	NOUN
ajst-4785	223	2	of	of	ADP
ajst-4785	223	3	satellitedriven	satellitedriven	ADJ
ajst-4785	223	4	statistical	statistical	ADJ
ajst-4785	223	5	models	model	NOUN
ajst-4785	223	6	pm2.5	pm2.5	PART
ajst-4785	223	7	concentration	concentration	NOUN
ajst-4785	223	8	estimation	estimation	NOUN
ajst-4785	223	9	with	with	ADP
ajst-4785	223	10	comprehensive	comprehensive	ADJ
ajst-4785	223	11	information[j].atmospheric	information[j].atmospheric	PROPN
ajst-4785	223	12	environment	environment	NOUN
ajst-4785	223	13	,	,	PUNCT
ajst-4785	223	14	202	202	NUM
ajst-4785	223	15	1	1	NUM
ajst-4785	223	16	,	,	PUNCT
ajst-4785	223	17	256	256	NUM
ajst-4785	223	18	:	:	SYM
ajst-4785	223	19	118302	118302	NUM
ajst-4785	223	20	.	.	PUNCT
ajst-4785	224	1	[	[	X
ajst-4785	224	2	43	43	NUM
ajst-4785	224	3	]	]	X
ajst-4785	224	4	sun	sun	PROPN
ajst-4785	224	5	cheng	cheng	PROPN
ajst-4785	224	6	,	,	PUNCT
ajst-4785	224	7	wang	wang	PROPN
ajst-4785	224	8	wei	wei	PROPN
ajst-4785	224	9	,	,	PUNCT
ajst-4785	224	10	liu	liu	PROPN
ajst-4785	224	11	fangtian	fangtian	PROPN
ajst-4785	224	12	,	,	PUNCT
ajst-4785	224	13	et	et	PROPN
ajst-4785	224	14	al	al	PROPN
ajst-4785	224	15	study	study	PROPN
ajst-4785	224	16	on	on	ADP
ajst-4785	224	17	temporal	temporal	ADJ
ajst-4785	224	18	and	and	CCONJ
ajst-4785	224	19	spatial	spatial	ADJ
ajst-4785	224	20	variation	variation	NOUN
ajst-4785	224	21	model	model	NOUN
ajst-4785	224	22	of	of	ADP
ajst-4785	224	23	pm2.5	pm2.5	DET
ajst-4785	224	24	concentration	concentration	NOUN
ajst-4785	224	25	in	in	ADP
ajst-4785	224	26	hebei	hebei	PROPN
ajst-4785	224	27	province	province	NOUN
ajst-4785	224	28	based	base	VERB
ajst-4785	224	29	on	on	ADP
ajst-4785	224	30	linear	linear	ADJ
ajst-4785	224	31	mixed	mixed	ADJ
ajst-4785	224	32	effect	effect	NOUN
ajst-4785	224	33	model[j	model[j	PROPN
ajst-4785	224	34	]	]	PUNCT
ajst-4785	224	35	.	.	PUNCT
ajst-4785	225	1	environmental	environmental	ADJ
ajst-4785	225	2	science	science	PROPN
ajst-4785	225	3	research	research	NOUN
ajst-4785	225	4	,	,	PUNCT
ajst-4785	225	5	2019	2019	NUM
ajst-4785	225	6	,	,	PUNCT
ajst-4785	225	7	32	32	NUM
ajst-4785	225	8	(	(	PUNCT
ajst-4785	225	9	9	9	NUM
ajst-4785	225	10	):	):	PUNCT
ajst-4785	225	11	1500	1500	NUM
ajst-4785	225	12	-	-	SYM
ajst-4785	225	13	1509	1509	NUM
ajst-4785	225	14	.	.	PUNCT
ajst-4785	226	1	[	[	X
ajst-4785	226	2	44	44	NUM
ajst-4785	226	3	]	]	SYM
ajst-4785	226	4	ma	ma	PROPN
ajst-4785	226	5	zongwei	zongwei	PROPN
ajst-4785	226	6	,	,	PUNCT
ajst-4785	226	7	liu	liu	PROPN
ajst-4785	226	8	yang	yang	PROPN
ajst-4785	226	9	,	,	PUNCT
ajst-4785	226	10	zhao	zhao	PROPN
ajst-4785	226	11	qiuyue	qiuyue	PROPN
ajst-4785	226	12	,	,	PUNCT
ajst-4785	226	13	et	et	PROPN
ajst-4785	226	14	al	al	PROPN
ajst-4785	226	15	.	.	PROPN
ajst-4785	226	16	satellite	satellite	NOUN
ajst-4785	226	17	-	-	PUNCT
ajst-4785	226	18	derived	derive	VERB
ajst-4785	226	19	high	high	ADJ
ajst-4785	226	20	resolution	resolution	NOUN
ajst-4785	226	21	pm2.5	pm2.5	PROPN
ajst-4785	226	22	concentr	concentr	VERB
ajst-4785	226	23	ations	ation	NOUN
ajst-4785	226	24	in	in	ADP
ajst-4785	226	25	yangtze	yangtze	PROPN
ajst-4785	226	26	river	river	PROPN
ajst-4785	226	27	delta	delta	PROPN
ajst-4785	226	28	region	region	NOUN
ajst-4785	226	29	of	of	ADP
ajst-4785	226	30	china	china	PROPN
ajst-4785	226	31	using	use	VERB
ajst-4785	226	32	improved	improve	VERB
ajst-4785	226	33	linear	linear	ADJ
ajst-4785	226	34	mixed	mixed	ADJ
ajst-4785	226	35	effects	effect	NOUN
ajst-4785	226	36	model[j	model[j	PROPN
ajst-4785	226	37	]	]	X
ajst-4785	226	38	.	.	PUNCT
ajst-4785	227	1	atmospheric	atmospheric	ADJ
ajst-4785	227	2	environment	environment	NOUN
ajst-4785	227	3	,	,	PUNCT
ajst-4785	227	4	2016	2016	NUM
ajst-4785	227	5	,	,	PUNCT
ajst-4785	227	6	133	133	NUM
ajst-4785	227	7	:	:	SYM
ajst-4785	227	8	156	156	NUM
ajst-4785	227	9	-	-	SYM
ajst-4785	227	10	164	164	NUM
ajst-4785	227	11	.	.	PUNCT
ajst-4785	228	1	[	[	X
ajst-4785	228	2	45	45	NUM
ajst-4785	228	3	]	]	PUNCT
ajst-4785	228	4	kloog	kloog	X
ajst-4785	228	5	i	i	PRON
ajst-4785	228	6	,	,	PUNCT
ajst-4785	228	7	koutrakis	koutrakis	PROPN
ajst-4785	228	8	p	p	X
ajst-4785	228	9	,	,	PUNCT
ajst-4785	228	10	coull	coull	PROPN
ajst-4785	228	11	b	b	PROPN
ajst-4785	228	12	a	a	PRON
ajst-4785	228	13	,	,	PUNCT
ajst-4785	228	14	et	et	NOUN
ajst-4785	228	15	al.assessing	al.assesse	VERB
ajst-4785	228	16	temporally	temporally	ADV
ajst-4785	228	17	and	and	CCONJ
ajst-4785	228	18	spatially	spatially	ADV
ajst-4785	228	19	resolved	resolve	VERB
ajst-4785	228	20	pm2.5	pm2.5	PROPN
ajst-4785	228	21	exp	exp	NOUN
ajst-4785	228	22	osures	osure	NOUN
ajst-4785	228	23	for	for	ADP
ajst-4785	228	24	epidemiological	epidemiological	ADJ
ajst-4785	228	25	studies	study	NOUN
ajst-4785	228	26	using	use	VERB
ajst-4785	228	27	satellite	satellite	NOUN
ajst-4785	228	28	aerosol	aerosol	NOUN
ajst-4785	228	29	optical	optical	ADJ
ajst-4785	228	30	depth	depth	NOUN
ajst-4785	228	31	measurements	measurement	NOUN
ajst-4785	228	32	[	[	X
ajst-4785	228	33	j	j	X
ajst-4785	228	34	]	]	X
ajst-4785	228	35	.	.	PUNCT
ajst-4785	229	1	at	at	ADP
ajst-4785	229	2	mospheric	mospheric	PROPN
ajst-4785	229	3	environment	environment	NOUN
ajst-4785	229	4	,	,	PUNCT
ajst-4785	229	5	2011	2011	NUM
ajst-4785	229	6	,	,	PUNCT
ajst-4785	229	7	45(35	45(35	NOUN
ajst-4785	229	8	):	):	PUNCT
ajst-4785	229	9	6267	6267	NUM
ajst-4785	229	10	-	-	SYM
ajst-4785	229	11	6275	6275	NUM
ajst-4785	229	12	.	.	PUNCT
ajst-4785	230	1	[	[	X
ajst-4785	230	2	46	46	NUM
ajst-4785	230	3	]	]	X
ajst-4785	230	4	wang	wang	PROPN
ajst-4785	230	5	wei	wei	PROPN
ajst-4785	230	6	,	,	PUNCT
ajst-4785	230	7	he	he	PRON
ajst-4785	230	8	junchen	junchen	ADV
ajst-4785	230	9	,	,	PUNCT
ajst-4785	230	10	miao	miao	PROPN
ajst-4785	230	11	zelang	zelang	PROPN
ajst-4785	230	12	,	,	PUNCT
ajst-4785	230	13	et	et	PROPN
ajst-4785	230	14	al	al	PROPN
ajst-4785	230	15	.	.	PUNCT
ajst-4785	230	16	space	space	NOUN
ajst-4785	230	17	-	-	PUNCT
ajst-4785	230	18	time	time	NOUN
ajst-4785	230	19	linear	linear	ADJ
ajst-4785	230	20	mixed	mixed	ADJ
ajst-4785	230	21	-	-	PUNCT
ajst-4785	230	22	effects	effect	NOUN
ajst-4785	230	23	(	(	PUNCT
ajst-4785	230	24	stlme	stlme	NOUN
ajst-4785	230	25	)	)	PUNCT
ajst-4785	230	26	model	model	NOUN
ajst-4785	230	27	for	for	ADP
ajst-4785	230	28	mapping	map	VERB
ajst-4785	230	29	hourly	hourly	ADJ
ajst-4785	230	30	fine	fine	ADJ
ajst-4785	230	31	particulate	particulate	NOUN
ajst-4785	230	32	loadings	loading	NOUN
ajst-4785	230	33	in	in	ADP
ajst-4785	230	34	the	the	DET
ajst-4785	230	35	beijing	beijing	PROPN
ajst-4785	230	36	-	-	PUNCT
ajst-4785	230	37	tianjin	tianjin	PROPN
ajst-4785	230	38	-	-	PUNCT
ajst-4785	230	39	hebei	hebei	PROPN
ajst-4785	230	40	region	region	NOUN
ajst-4785	230	41	,	,	PUNCT
ajst-4785	230	42	china[j].journal	china[j].journal	ADJ
ajst-4785	230	43	of	of	ADP
ajst-4785	230	44	cleaner	clean	ADJ
ajst-4785	230	45	production	production	NOUN
ajst-4785	230	46	,	,	PUNCT
ajst-4785	230	47	2021	2021	NUM
ajst-4785	230	48	,	,	PUNCT
ajst-4785	230	49	292:125993	292:125993	NUM
ajst-4785	230	50	.	.	PUNCT
ajst-4785	231	1	[	[	X
ajst-4785	231	2	47	47	NUM
ajst-4785	231	3	]	]	PUNCT
ajst-4785	231	4	brunsdon	brunsdon	PROPN
ajst-4785	231	5	c	c	NOUN
ajst-4785	231	6	,	,	PUNCT
ajst-4785	231	7	fotheringham	fotheringham	VERB
ajst-4785	231	8	a	a	DET
ajst-4785	231	9	s	s	PROPN
ajst-4785	231	10	,	,	PUNCT
ajst-4785	231	11	charltoam	charltoam	PROPN
ajst-4785	231	12	e.	e.	PROPN
ajst-4785	231	13	geographically	geographically	PROPN
ajst-4785	231	14	weighted	weight	VERB
ajst-4785	231	15	regression	regression	NOUN
ajst-4785	231	16	:	:	PUNCT
ajst-4785	231	17	a	a	DET
ajst-4785	231	18	method	method	NOUN
ajst-4785	231	19	for	for	ADP
ajst-4785	231	20	exploring	explore	VERB
ajst-4785	231	21	spatial	spatial	ADJ
ajst-4785	231	22	nonstationarity[j	nonstationarity[j	NOUN
ajst-4785	231	23	]	]	PUNCT
ajst-4785	231	24	.	.	PUNCT
ajst-4785	232	1	geographical	geographical	ADJ
ajst-4785	232	2	analysis	analysis	NOUN
ajst-4785	232	3	,	,	PUNCT
ajst-4785	232	4	1996	1996	NUM
ajst-4785	232	5	,	,	PUNCT
ajst-4785	232	6	28(4):281298	28(4):281298	NUM
ajst-4785	232	7	.	.	PUNCT
ajst-4785	233	1	[	[	X
ajst-4785	233	2	48	48	NUM
ajst-4785	233	3	]	]	SYM
ajst-4785	233	4	hu	hu	PROPN
ajst-4785	233	5	zhiyong	zhiyong	PROPN
ajst-4785	233	6	.	.	PUNCT
ajst-4785	234	1	spatial	spatial	ADJ
ajst-4785	234	2	analysis	analysis	NOUN
ajst-4785	234	3	of	of	ADP
ajst-4785	234	4	modis	modis	PROPN
ajst-4785	234	5	aerosol	aerosol	VERB
ajst-4785	234	6	optical	optical	ADJ
ajst-4785	234	7	depth	depth	NOUN
ajst-4785	234	8	,	,	PUNCT
ajst-4785	234	9	pm2.5	pm2.5	PROPN
ajst-4785	234	10	,	,	PUNCT
ajst-4785	234	11	and	and	CCONJ
ajst-4785	234	12	chronic	chronic	ADJ
ajst-4785	234	13	coronary	coronary	ADJ
ajst-4785	234	14	heart	heart	NOUN
ajst-4785	234	15	disease[j	disease[j	PROPN
ajst-4785	234	16	]	]	PUNCT
ajst-4785	234	17	.	.	PUNCT
ajst-4785	235	1	international	international	ADJ
ajst-4785	235	2	journal	journal	PROPN
ajst-4785	235	3	of	of	ADP
ajst-4785	235	4	health	health	NOUN
ajst-4785	235	5	geographics	geographic	NOUN
ajst-4785	235	6	,	,	PUNCT
ajst-4785	235	7	2009	2009	NUM
ajst-4785	235	8	,	,	PUNCT
ajst-4785	235	9	8:27	8:27	NUM
ajst-4785	235	10	.	.	PUNCT
ajst-4785	236	1	[	[	X
ajst-4785	236	2	49	49	NUM
ajst-4785	236	3	]	]	X
ajst-4785	236	4	ma	ma	PROPN
ajst-4785	236	5	zongwei	zongwei	PROPN
ajst-4785	236	6	,	,	PUNCT
ajst-4785	236	7	hu	hu	PROPN
ajst-4785	236	8	xuefei	xuefei	PROPN
ajst-4785	236	9	,	,	PUNCT
ajst-4785	236	10	huang	huang	PROPN
ajst-4785	236	11	lei	lei	PROPN
ajst-4785	236	12	,	,	PUNCT
ajst-4785	236	13	et	et	PROPN
ajst-4785	236	14	al	al	PROPN
ajst-4785	236	15	.	.	PROPN
ajst-4785	236	16	estimating	estimate	VERB
ajst-4785	236	17	groundlevel	groundlevel	NOUN
ajst-4785	236	18	pm2.5	pm2.5	PROPN
ajst-4785	236	19	in	in	ADP
ajst-4785	236	20	china	china	PROPN
ajst-4785	236	21	using	use	VERB
ajst-4785	236	22	sat	sit	VERB
ajst-4785	236	23	ellite	ellite	PROPN
ajst-4785	236	24	remote	remote	ADJ
ajst-4785	236	25	sensing[j	sensing[j	PROPN
ajst-4785	236	26	]	]	PUNCT
ajst-4785	236	27	.	.	PUNCT
ajst-4785	237	1	environmental	environmental	PROPN
ajst-4785	237	2	science	science	PROPN
ajst-4785	237	3	&	&	CCONJ
ajst-4785	237	4	technology	technology	PROPN
ajst-4785	237	5	,	,	PUNCT
ajst-4785	237	6	2014	2014	NUM
ajst-4785	237	7	,	,	PUNCT
ajst-4785	237	8	48(13	48(13	NUM
ajst-4785	237	9	):	):	PUNCT
ajst-4785	237	10	74367444	74367444	NUM
ajst-4785	237	11	.	.	PUNCT
ajst-4785	238	1	[	[	X
ajst-4785	238	2	50	50	NUM
ajst-4785	238	3	]	]	X
ajst-4785	238	4	bai	bai	PROPN
ajst-4785	238	5	yang	yang	PROPN
ajst-4785	238	6	,	,	PUNCT
ajst-4785	238	7	wu	wu	PROPN
ajst-4785	238	8	lixin	lixin	PROPN
ajst-4785	238	9	,	,	PUNCT
ajst-4785	238	10	qin	qin	PROPN
ajst-4785	238	11	kai	kai	PROPN
ajst-4785	238	12	,	,	PUNCT
ajst-4785	238	13	et	et	PROPN
ajst-4785	238	14	al.a	al.a	VERB
ajst-4785	238	15	geographically	geographically	ADV
ajst-4785	238	16	and	and	CCONJ
ajst-4785	238	17	temporally	temporally	ADV
ajst-4785	238	18	weighted	weight	VERB
ajst-4785	238	19	regression	regression	PROPN
ajst-4785	238	20	mod	mod	PROPN
ajst-4785	238	21	el	el	PROPN
ajst-4785	238	22	for	for	ADP
ajst-4785	238	23	ground	ground	NOUN
ajst-4785	238	24	-	-	PUNCT
ajst-4785	238	25	level	level	NOUN
ajst-4785	238	26	pm2.5	pm2.5	PART
ajst-4785	238	27	estimation	estimation	NOUN
ajst-4785	238	28	from	from	ADP
ajst-4785	238	29	satellite	satellite	NOUN
ajst-4785	238	30	-	-	PUNCT
ajst-4785	238	31	derived	derive	VERB
ajst-4785	238	32	500	500	NUM
ajst-4785	238	33	m	m	NOUN
ajst-4785	238	34	resolution	resolution	NOUN
ajst-4785	238	35	aod[j	aod[j	NOUN
ajst-4785	238	36	]	]	PUNCT
ajst-4785	238	37	.	.	PUNCT
ajst-4785	239	1	remote	remote	ADJ
ajst-4785	239	2	sensing	sensing	NOUN
ajst-4785	239	3	,	,	PUNCT
ajst-4785	239	4	2016	2016	NUM
ajst-4785	239	5	,	,	PUNCT
ajst-4785	239	6	8(3	8(3	NUM
ajst-4785	239	7	):	):	PUNCT
ajst-4785	239	8	262	262	NUM
ajst-4785	239	9	.	.	PUNCT
ajst-4785	240	1	[	[	X
ajst-4785	240	2	51	51	NUM
ajst-4785	240	3	]	]	PUNCT
ajst-4785	240	4	he	he	PRON
ajst-4785	240	5	qingqing	qingqing	PROPN
ajst-4785	240	6	,	,	PUNCT
ajst-4785	240	7	huang	huang	PROPN
ajst-4785	240	8	bo	bo	PROPN
ajst-4785	240	9	.	.	PUNCT
ajst-4785	241	1	satellite	satellite	NOUN
ajst-4785	241	2	-	-	PUNCT
ajst-4785	241	3	based	base	VERB
ajst-4785	241	4	high	high	ADJ
ajst-4785	241	5	-	-	PUNCT
ajst-4785	241	6	resolution	resolution	NOUN
ajst-4785	241	7	pm2.5	pm2.5	PART
ajst-4785	241	8	estimation	estimation	NOUN
ajst-4785	241	9	over	over	ADP
ajst-4785	241	10	the	the	DET
ajst-4785	241	11	beijing	beijing	PROPN
ajst-4785	241	12	-	-	PUNCT
ajst-4785	241	13	t	t	PROPN
ajst-4785	241	14	ianjin	ianjin	PROPN
ajst-4785	241	15	-	-	PUNCT
ajst-4785	241	16	hebei	hebei	PROPN
ajst-4785	241	17	region	region	NOUN
ajst-4785	241	18	of	of	ADP
ajst-4785	241	19	china	china	PROPN
ajst-4785	241	20	using	use	VERB
ajst-4785	241	21	an	an	DET
ajst-4785	241	22	improved	improved	ADJ
ajst-4785	241	23	geographically	geographically	ADV
ajst-4785	241	24	and	and	CCONJ
ajst-4785	241	25	temporally	temporally	ADV
ajst-4785	241	26	weighted	weight	VERB
ajst-4785	241	27	regr	regr	ADJ
ajst-4785	241	28	ession	ession	NOUN
ajst-4785	241	29	model[j	model[j	PROPN
ajst-4785	241	30	]	]	PUNCT
ajst-4785	241	31	.	.	PUNCT
ajst-4785	242	1	environmental	environmental	ADJ
ajst-4785	242	2	pollution	pollution	NOUN
ajst-4785	242	3	,	,	PUNCT
ajst-4785	242	4	2018	2018	NUM
ajst-4785	242	5	,	,	PUNCT
ajst-4785	242	6	236	236	NUM
ajst-4785	242	7	:	:	SYM
ajst-4785	242	8	1027	1027	NUM
ajst-4785	242	9	-	-	SYM
ajst-4785	242	10	1037	1037	NUM
ajst-4785	242	11	.	.	PUNCT
ajst-4785	243	1	[	[	X
ajst-4785	243	2	52	52	NUM
ajst-4785	243	3	]	]	PUNCT
ajst-4785	243	4	he	he	PRON
ajst-4785	243	5	qingqing	qingqing	PROPN
ajst-4785	243	6	,	,	PUNCT
ajst-4785	243	7	huang	huang	PROPN
ajst-4785	243	8	bo	bo	PROPN
ajst-4785	243	9	.	.	PUNCT
ajst-4785	244	1	satellite	satellite	NOUN
ajst-4785	244	2	-	-	PUNCT
ajst-4785	244	3	based	base	VERB
ajst-4785	244	4	mapping	mapping	NOUN
ajst-4785	244	5	of	of	ADP
ajst-4785	244	6	daily	daily	ADJ
ajst-4785	244	7	high	high	ADJ
ajst-4785	244	8	-	-	PUNCT
ajst-4785	244	9	resolution	resolution	NOUN
ajst-4785	244	10	ground	ground	NOUN
ajst-4785	244	11	pm2.5	pm2.5	ADV
ajst-4785	244	12	in	in	ADP
ajst-4785	244	13	c	c	PROPN
ajst-4785	244	14	hina	hina	NOUN
ajst-4785	244	15	via	via	ADP
ajst-4785	244	16	space	space	NOUN
ajst-4785	244	17	-	-	PUNCT
ajst-4785	244	18	time	time	NOUN
ajst-4785	244	19	regression	regression	NOUN
ajst-4785	244	20	modeling[j	modeling[j	NOUN
ajst-4785	244	21	]	]	PUNCT
ajst-4785	244	22	.	.	PUNCT
ajst-4785	245	1	remote	remote	ADJ
ajst-4785	245	2	sensing	sensing	NOUN
ajst-4785	245	3	of	of	ADP
ajst-4785	245	4	environment	environment	NOUN
ajst-4785	245	5	,	,	PUNCT
ajst-4785	245	6	2018	2018	NUM
ajst-4785	245	7	,	,	PUNCT
ajst-4785	245	8	206	206	NUM
ajst-4785	245	9	:	:	SYM
ajst-4785	245	10	72	72	NUM
ajst-4785	245	11	-	-	SYM
ajst-4785	245	12	83	83	NUM
ajst-4785	245	13	.	.	PUNCT
ajst-4785	246	1	[	[	X
ajst-4785	246	2	53	53	NUM
ajst-4785	246	3	]	]	PUNCT
ajst-4785	246	4	he	he	PRON
ajst-4785	246	5	qingqing	qingqing	PROPN
ajst-4785	246	6	,	,	PUNCT
ajst-4785	246	7	gu	gu	NOUN
ajst-4785	246	8	yefu	yefu	PROPN
ajst-4785	246	9	,	,	PUNCT
ajst-4785	246	10	zhang	zhang	PROPN
ajst-4785	246	11	ming	ming	PROPN
ajst-4785	246	12	.	.	PUNCT
ajst-4785	247	1	spatiotemporal	spatiotemporal	ADJ
ajst-4785	247	2	trends	trend	NOUN
ajst-4785	247	3	of	of	ADP
ajst-4785	247	4	pm2.5	pm2.5	DET
ajst-4785	247	5	concentrations	concentration	NOUN
ajst-4785	247	6	in	in	ADP
ajst-4785	247	7	centra	centra	PROPN
ajst-4785	247	8	l	l	PROPN
ajst-4785	247	9	china	china	PROPN
ajst-4785	247	10	from	from	ADP
ajst-4785	247	11	2003	2003	NUM
ajst-4785	247	12	to	to	ADP
ajst-4785	247	13	2018	2018	NUM
ajst-4785	247	14	based	base	VERB
ajst-4785	247	15	on	on	ADP
ajst-4785	247	16	maiac	maiac	NOUN
ajst-4785	247	17	-	-	PUNCT
ajst-4785	247	18	derived	derive	VERB
ajst-4785	247	19	high	high	ADJ
ajst-4785	247	20	-	-	PUNCT
ajst-4785	247	21	resolution	resolution	NOUN
ajst-4785	247	22	data[j	data[j	NOUN
ajst-4785	247	23	]	]	PUNCT
ajst-4785	247	24	.	.	PUNCT
ajst-4785	248	1	environment	environment	NOUN
ajst-4785	248	2	in	in	ADP
ajst-4785	248	3	ternational	ternational	ADJ
ajst-4785	248	4	,	,	PUNCT
ajst-4785	248	5	2020	2020	NUM
ajst-4785	248	6	,	,	PUNCT
ajst-4785	248	7	137	137	NUM
ajst-4785	248	8	:	:	SYM
ajst-4785	248	9	105536	105536	NUM
ajst-4785	248	10	.	.	PUNCT
ajst-4785	249	1	[	[	X
ajst-4785	249	2	54	54	NUM
ajst-4785	249	3	]	]	X
ajst-4785	249	4	liu	liu	PROPN
ajst-4785	249	5	yang	yang	PROPN
ajst-4785	249	6	,	,	PUNCT
ajst-4785	249	7	paciorek	paciorek	PROPN
ajst-4785	249	8	c	c	PROPN
ajst-4785	249	9	j	j	PROPN
ajst-4785	249	10	,	,	PUNCT
ajst-4785	249	11	koutrakis	koutrakis	PROPN
ajst-4785	249	12	p.	p.	NOUN
ajst-4785	249	13	estimating	estimate	VERB
ajst-4785	249	14	regional	regional	ADJ
ajst-4785	249	15	spatial	spatial	ADJ
ajst-4785	249	16	and	and	CCONJ
ajst-4785	249	17	temporal	temporal	ADJ
ajst-4785	249	18	variability	variability	NOUN
ajst-4785	249	19	of	of	ADP
ajst-4785	249	20	p	p	NOUN
ajst-4785	249	21	m2.5	m2.5	NOUN
ajst-4785	249	22	concentrations	concentration	NOUN
ajst-4785	249	23	using	use	VERB
ajst-4785	249	24	satellite	satellite	NOUN
ajst-4785	249	25	data	datum	NOUN
ajst-4785	249	26	,	,	PUNCT
ajst-4785	249	27	meteorology	meteorology	NOUN
ajst-4785	249	28	,	,	PUNCT
ajst-4785	249	29	and	and	CCONJ
ajst-4785	249	30	land	land	NOUN
ajst-4785	249	31	use	use	VERB
ajst-4785	249	32	information[j	information[j	PROPN
ajst-4785	249	33	]	]	PUNCT
ajst-4785	249	34	.	.	PUNCT
ajst-4785	250	1	environm	environm	ADJ
ajst-4785	250	2	ental	ental	ADJ
ajst-4785	250	3	health	health	NOUN
ajst-4785	250	4	perspectives	perspective	NOUN
ajst-4785	250	5	,	,	PUNCT
ajst-4785	250	6	2009	2009	NUM
ajst-4785	250	7	,	,	PUNCT
ajst-4785	250	8	117(6	117(6	NUM
ajst-4785	250	9	):	):	PUNCT
ajst-4785	250	10	886	886	NUM
ajst-4785	250	11	-	-	NUM
ajst-4785	250	12	892	892	NUM
ajst-4785	250	13	.	.	PUNCT
ajst-4785	251	1	[	[	X
ajst-4785	251	2	55	55	NUM
ajst-4785	251	3	]	]	PUNCT
ajst-4785	251	4	you	you	PRON
ajst-4785	251	5	wei	wei	PROPN
ajst-4785	251	6	,	,	PUNCT
ajst-4785	251	7	zang	zang	PROPN
ajst-4785	251	8	zengliang	zengliang	PROPN
ajst-4785	251	9	,	,	PUNCT
ajst-4785	251	10	pan	pan	PROPN
ajst-4785	251	11	xiaobin	xiaobin	PROPN
ajst-4785	251	12	,	,	PUNCT
ajst-4785	251	13	et	et	PROPN
ajst-4785	251	14	al	al	PROPN
ajst-4785	251	15	.	.	PUNCT
ajst-4785	251	16	estimating	estimate	VERB
ajst-4785	251	17	pm2.5	pm2.5	PROPN
ajst-4785	251	18	in	in	ADP
ajst-4785	251	19	xi'an	xi'an	PROPN
ajst-4785	251	20	,	,	PUNCT
ajst-4785	251	21	china	china	PROPN
ajst-4785	251	22	using	use	VERB
ajst-4785	251	23	aerosol	aerosol	NOUN
ajst-4785	251	24	optical	optical	ADJ
ajst-4785	251	25	depth	depth	NOUN
ajst-4785	251	26	:	:	PUNCT
ajst-4785	251	27	a	a	DET
ajst-4785	251	28	comparison	comparison	NOUN
ajst-4785	251	29	between	between	ADP
ajst-4785	251	30	the	the	DET
ajst-4785	251	31	modis	modis	PROPN
ajst-4785	251	32	and	and	CCONJ
ajst-4785	251	33	misr	misr	PROPN
ajst-4785	251	34	retrieval	retrieval	PROPN
ajst-4785	251	35	models[j	models[j	PROPN
ajst-4785	251	36	]	]	PUNCT
ajst-4785	251	37	.	.	PUNCT
ajst-4785	252	1	science	science	NOUN
ajst-4785	252	2	of	of	ADP
ajst-4785	252	3	th	th	X
ajst-4785	252	4	e	e	NOUN
ajst-4785	252	5	total	total	NOUN
ajst-4785	252	6	environment	environment	NOUN
ajst-4785	252	7	,	,	PUNCT
ajst-4785	252	8	2015	2015	NUM
ajst-4785	252	9	,	,	PUNCT
ajst-4785	252	10	505	505	NUM
ajst-4785	252	11	:	:	PUNCT
ajst-4785	252	12	1156	1156	NUM
ajst-4785	252	13	-	-	SYM
ajst-4785	252	14	1165	1165	NUM
ajst-4785	252	15	.	.	PUNCT
ajst-4785	253	1	[	[	X
ajst-4785	253	2	56	56	NUM
ajst-4785	253	3	]	]	X
ajst-4785	253	4	beloconi	beloconi	NOUN
ajst-4785	253	5	a	a	PRON
ajst-4785	253	6	,	,	PUNCT
ajst-4785	253	7	kamarianakis	kamarianakis	PROPN
ajst-4785	253	8	y	y	PROPN
ajst-4785	253	9	,	,	PUNCT
ajst-4785	253	10	chrysoulanks	chrysoulanks	PROPN
ajst-4785	253	11	n.	n.	PROPN
ajst-4785	253	12	estimating	estimate	VERB
ajst-4785	253	13	urban	urban	ADJ
ajst-4785	253	14	pm10	pm10	PROPN
ajst-4785	253	15	and	and	CCONJ
ajst-4785	253	16	pm2.5	pm2.5	PROPN
ajst-4785	253	17	concentrati	concentrati	NOUN
ajst-4785	253	18	ons	ons	PROPN
ajst-4785	253	19	,	,	PUNCT
ajst-4785	253	20	based	base	VERB
ajst-4785	253	21	onsynergistic	onsynergistic	ADJ
ajst-4785	253	22	meris	meris	PROPN
ajst-4785	253	23	/	/	SYM
ajst-4785	253	24	aatsr	aatsr	ADJ
ajst-4785	253	25	aerosol	aerosol	NOUN
ajst-4785	253	26	observations	observation	NOUN
ajst-4785	253	27	,	,	PUNCT
ajst-4785	253	28	land	land	NOUN
ajst-4785	253	29	cover	cover	NOUN
ajst-4785	253	30	and	and	CCONJ
ajst-4785	253	31	morphology	morphology	NOUN
ajst-4785	253	32	da	da	PROPN
ajst-4785	253	33	ta[j	ta[j	PROPN
ajst-4785	253	34	]	]	PUNCT
ajst-4785	253	35	.	.	PUNCT
ajst-4785	254	1	remote	remote	ADJ
ajst-4785	254	2	sensing	sensing	NOUN
ajst-4785	254	3	of	of	ADP
ajst-4785	254	4	environment	environment	NOUN
ajst-4785	254	5	,	,	PUNCT
ajst-4785	254	6	2016	2016	NUM
ajst-4785	254	7	,	,	PUNCT
ajst-4785	254	8	172	172	NUM
ajst-4785	254	9	:	:	SYM
ajst-4785	254	10	148	148	NUM
ajst-4785	254	11	-	-	SYM
ajst-4785	254	12	164	164	NUM
ajst-4785	254	13	.	.	PUNCT
ajst-4785	255	1	[	[	X
ajst-4785	255	2	57	57	NUM
ajst-4785	255	3	]	]	X
ajst-4785	255	4	zhang	zhang	PROPN
ajst-4785	255	5	tianning	tianne	VERB
ajst-4785	255	6	,	,	PUNCT
ajst-4785	255	7	he	he	PRON
ajst-4785	255	8	weihuan	weihuan	PROPN
ajst-4785	255	9	,	,	PUNCT
ajst-4785	255	10	zheng	zheng	PROPN
ajst-4785	255	11	hui	hui	PROPN
ajst-4785	255	12	,	,	PUNCT
ajst-4785	255	13	et	et	PROPN
ajst-4785	255	14	al	al	PROPN
ajst-4785	255	15	.	.	PROPN
ajst-4785	255	16	satellite	satellite	NOUN
ajst-4785	255	17	-	-	PUNCT
ajst-4785	255	18	based	base	VERB
ajst-4785	255	19	ground	ground	NOUN
ajst-4785	255	20	pm2.5	pm2.5	PROPN
ajst-4785	255	21	estimation	estimation	NOUN
ajst-4785	255	22	usin	usin	NOUN
ajst-4785	255	23	g	g	PROPN
ajst-4785	255	24	a	a	DET
ajst-4785	255	25	gradient	gradient	ADJ
ajst-4785	255	26	boosting	boost	VERB
ajst-4785	255	27	decision	decision	NOUN
ajst-4785	255	28	tree[j	tree[j	NOUN
ajst-4785	255	29	]	]	PUNCT
ajst-4785	255	30	.	.	PUNCT
ajst-4785	256	1	chemosphere	chemosphere	PROPN
ajst-4785	256	2	,	,	PUNCT
ajst-4785	256	3	2021	2021	NUM
ajst-4785	256	4	,	,	PUNCT
ajst-4785	256	5	268	268	NUM
ajst-4785	256	6	:	:	SYM
ajst-4785	256	7	128801	128801	NUM
ajst-4785	256	8	.	.	PUNCT
ajst-4785	257	1	[	[	X
ajst-4785	257	2	58	58	NUM
ajst-4785	257	3	]	]	X
ajst-4785	257	4	chen	chen	PROPN
ajst-4785	257	5	binjie	binjie	PROPN
ajst-4785	257	6	,	,	PUNCT
ajst-4785	257	7	you	you	PRON
ajst-4785	257	8	shixue	shixue	NOUN
ajst-4785	257	9	,	,	PUNCT
ajst-4785	257	10	ye	ye	PROPN
ajst-4785	257	11	yang	yang	PROPN
ajst-4785	257	12	,	,	PUNCT
ajst-4785	257	13	et	et	PROPN
ajst-4785	257	14	al	al	PROPN
ajst-4785	257	15	.	.	PUNCT
ajst-4785	258	1	an	an	DET
ajst-4785	258	2	interpretable	interpretable	ADJ
ajst-4785	258	3	selfadaptive	selfadaptive	ADJ
ajst-4785	258	4	deep	deep	ADJ
ajst-4785	258	5	neural	neural	ADJ
ajst-4785	258	6	network	network	NOUN
ajst-4785	258	7	f	f	PROPN
ajst-4785	258	8	or	or	CCONJ
ajst-4785	258	9	estimating	estimate	VERB
ajst-4785	258	10	daily	daily	ADJ
ajst-4785	258	11	spatiallycontinuous	spatiallycontinuous	ADJ
ajst-4785	258	12	pm2.5	pm2.5	PROPN
ajst-4785	258	13	concentrations	concentration	NOUN
ajst-4785	258	14	across	across	ADP
ajst-4785	258	15	china[j	china[j	NOUN
ajst-4785	258	16	]	]	PUNCT
ajst-4785	258	17	.	.	PUNCT
ajst-4785	259	1	science	science	NOUN
ajst-4785	259	2	of	of	ADP
ajst-4785	259	3	the	the	DET
ajst-4785	259	4	total	total	ADJ
ajst-4785	259	5	environment	environment	NOUN
ajst-4785	259	6	,	,	PUNCT
ajst-4785	259	7	2021	2021	NUM
ajst-4785	259	8	,	,	PUNCT
ajst-4785	259	9	768	768	NUM
ajst-4785	259	10	:	:	SYM
ajst-4785	259	11	144724	144724	NUM
ajst-4785	259	12	.	.	PUNCT
ajst-4785	260	1	[	[	X
ajst-4785	260	2	59	59	NUM
ajst-4785	260	3	]	]	X
ajst-4785	260	4	wei	wei	PROPN
ajst-4785	260	5	jing	jing	PROPN
ajst-4785	260	6	,	,	PUNCT
ajst-4785	260	7	huang	huang	PROPN
ajst-4785	260	8	wei	wei	PROPN
ajst-4785	260	9	,	,	PUNCT
ajst-4785	260	10	li	li	PROPN
ajst-4785	260	11	zhanqing	zhanqing	PROPN
ajst-4785	260	12	,	,	PUNCT
ajst-4785	260	13	et	et	PROPN
ajst-4785	260	14	al	al	PROPN
ajst-4785	260	15	.	.	PUNCT
ajst-4785	260	16	estimating	estimate	VERB
ajst-4785	260	17	1	1	NUM
ajst-4785	260	18	-	-	PUNCT
ajst-4785	260	19	kmresolution	kmresolution	NOUN
ajst-4785	260	20	pm2.5	pm2.5	PROPN
ajst-4785	260	21	concentrations	concentration	NOUN
ajst-4785	260	22	a	a	DET
ajst-4785	260	23	cross	cross	NOUN
ajst-4785	260	24	china	china	NOUN
ajst-4785	260	25	using	use	VERB
ajst-4785	260	26	the	the	DET
ajst-4785	260	27	spacetime	spacetime	NOUN
ajst-4785	260	28	random	random	ADJ
ajst-4785	260	29	forest	forest	NOUN
ajst-4785	260	30	approach[j	approach[j	PROPN
ajst-4785	260	31	]	]	PUNCT
ajst-4785	260	32	.	.	PUNCT
ajst-4785	261	1	remote	remote	ADJ
ajst-4785	261	2	sensing	sensing	NOUN
ajst-4785	261	3	of	of	ADP
ajst-4785	261	4	environment	environment	NOUN
ajst-4785	261	5	,	,	PUNCT
ajst-4785	261	6	2019	2019	NUM
ajst-4785	261	7	,	,	PUNCT
ajst-4785	261	8	231:111221	231:111221	NUM
ajst-4785	261	9	.	.	PUNCT
ajst-4785	261	10	57	57	NUM
ajst-4785	262	1	[	[	SYM
ajst-4785	262	2	60	60	NUM
ajst-4785	262	3	]	]	X
ajst-4785	262	4	jiang	jiang	PROPN
ajst-4785	262	5	tingting	tingting	PROPN
ajst-4785	262	6	,	,	PUNCT
ajst-4785	262	7	chen	chen	PROPN
ajst-4785	262	8	bin	bin	PROPN
ajst-4785	262	9	,	,	PUNCT
ajst-4785	262	10	nie	nie	PROPN
ajst-4785	262	11	zhen	zhen	PROPN
ajst-4785	262	12	,	,	PUNCT
ajst-4785	262	13	et	et	PROPN
ajst-4785	262	14	al	al	PROPN
ajst-4785	262	15	.	.	PUNCT
ajst-4785	262	16	estimation	estimation	NOUN
ajst-4785	262	17	of	of	ADP
ajst-4785	262	18	hourly	hourly	ADJ
ajst-4785	262	19	full	full	ADJ
ajst-4785	262	20	-	-	PUNCT
ajst-4785	262	21	coverage	coverage	NOUN
ajst-4785	262	22	pm2.5	pm2.5	PROPN
ajst-4785	262	23	concentr	concentr	VERB
ajst-4785	262	24	ations	ation	NOUN
ajst-4785	262	25	at	at	ADP
ajst-4785	262	26	1	1	NUM
ajst-4785	262	27	-	-	PUNCT
ajst-4785	262	28	km	km	NOUN
ajst-4785	262	29	resolution	resolution	NOUN
ajst-4785	262	30	in	in	ADP
ajst-4785	262	31	china	china	PROPN
ajst-4785	262	32	using	use	VERB
ajst-4785	262	33	a	a	DET
ajst-4785	262	34	two	two	NUM
ajst-4785	262	35	-	-	PUNCT
ajst-4785	262	36	stage	stage	NOUN
ajst-4785	262	37	random	random	ADJ
ajst-4785	262	38	forest	forest	NOUN
ajst-4785	262	39	model[j	model[j	PROPN
ajst-4785	262	40	]	]	X
ajst-4785	262	41	.	.	PUNCT
ajst-4785	263	1	atmospheric	atmospheric	PROPN
ajst-4785	263	2	re	re	PROPN
ajst-4785	263	3	search	search	NOUN
ajst-4785	263	4	,	,	PUNCT
ajst-4785	263	5	2021	2021	NUM
ajst-4785	263	6	,	,	PUNCT
ajst-4785	263	7	248	248	NUM
ajst-4785	263	8	:	:	PUNCT
ajst-4785	263	9	105146	105146	NUM
ajst-4785	263	10	.	.	PUNCT
ajst-4785	264	1	[	[	X
ajst-4785	264	2	61	61	NUM
ajst-4785	264	3	]	]	X
ajst-4785	264	4	huang	huang	PROPN
ajst-4785	264	5	keyong	keyong	PROPN
ajst-4785	264	6	,	,	PUNCT
ajst-4785	264	7	xiao	xiao	PROPN
ajst-4785	264	8	qingyang	qingyang	PROPN
ajst-4785	264	9	,	,	PUNCT
ajst-4785	264	10	meng	meng	PROPN
ajst-4785	264	11	xia	xia	PROPN
ajst-4785	264	12	,	,	PUNCT
ajst-4785	264	13	et	et	PROPN
ajst-4785	264	14	al	al	PROPN
ajst-4785	264	15	.	.	PROPN
ajst-4785	264	16	predicting	predict	VERB
ajst-4785	264	17	monthly	monthly	ADJ
ajst-4785	264	18	high	high	ADJ
ajst-4785	264	19	-	-	PUNCT
ajst-4785	264	20	resolution	resolution	NOUN
ajst-4785	264	21	pm2.5	pm2.5	PROPN
ajst-4785	264	22	c	c	NOUN
ajst-4785	264	23	oncentrations	oncentration	NOUN
ajst-4785	264	24	with	with	ADP
ajst-4785	264	25	random	random	ADJ
ajst-4785	264	26	forest	forest	NOUN
ajst-4785	264	27	model	model	NOUN
ajst-4785	264	28	in	in	ADP
ajst-4785	264	29	the	the	DET
ajst-4785	264	30	north	north	PROPN
ajst-4785	264	31	china	china	PROPN
ajst-4785	264	32	plain[j	plain[j	PROPN
ajst-4785	264	33	]	]	PUNCT
ajst-4785	264	34	.	.	PUNCT
ajst-4785	265	1	environmental	environmental	ADJ
ajst-4785	265	2	pollution	pollution	NOUN
ajst-4785	265	3	,	,	PUNCT
ajst-4785	265	4	2018	2018	NUM
ajst-4785	265	5	,	,	PUNCT
ajst-4785	265	6	242	242	NUM
ajst-4785	265	7	:	:	SYM
ajst-4785	265	8	675	675	NUM
ajst-4785	265	9	-	-	SYM
ajst-4785	265	10	683	683	NUM
ajst-4785	265	11	.	.	PUNCT
ajst-4785	266	1	[	[	X
ajst-4785	266	2	62	62	NUM
ajst-4785	266	3	]	]	PUNCT
ajst-4785	266	4	zhao	zhao	PROPN
ajst-4785	266	5	chen	chen	PROPN
ajst-4785	266	6	,	,	PUNCT
ajst-4785	266	7	wang	wang	PROPN
ajst-4785	266	8	qing	qing	PROPN
ajst-4785	266	9	,	,	PUNCT
ajst-4785	266	10	ban	ban	VERB
ajst-4785	266	11	jie	jie	PROPN
ajst-4785	266	12	,	,	PUNCT
ajst-4785	266	13	et	et	NOUN
ajst-4785	266	14	al.estimating	al.estimate	VERB
ajst-4785	266	15	the	the	DET
ajst-4785	266	16	daily	daily	ADJ
ajst-4785	266	17	pm2.5	pm2.5	ADJ
ajst-4785	266	18	concentration	concentration	NOUN
ajst-4785	266	19	in	in	ADP
ajst-4785	266	20	the	the	DET
ajst-4785	266	21	beijing	beijing	PROPN
ajst-4785	266	22	-	-	PUNCT
ajst-4785	266	23	tianjin	tianjin	PROPN
ajst-4785	266	24	-	-	PUNCT
ajst-4785	266	25	hebei	hebei	PROPN
ajst-4785	266	26	region	region	NOUN
ajst-4785	266	27	using	use	VERB
ajst-4785	266	28	a	a	DET
ajst-4785	266	29	random	random	ADJ
ajst-4785	266	30	forest	forest	NOUN
ajst-4785	266	31	model	model	NOUN
ajst-4785	266	32	with	with	ADP
ajst-4785	266	33	a	a	DET
ajst-4785	266	34	0.01	0.01	NUM
ajst-4785	266	35	°	°	NOUN
ajst-4785	266	36	*0.01	*0.01	NOUN
ajst-4785	266	37	°	°	NUM
ajst-4785	266	38	degrees	degree	NOUN
ajst-4785	266	39	spatial	spatial	ADJ
ajst-4785	266	40	resolu	resolu	NOUN
ajst-4785	266	41	tion[j	tion[j	PROPN
ajst-4785	266	42	]	]	PUNCT
ajst-4785	266	43	.	.	PUNCT
ajst-4785	267	1	environment	environment	PROPN
ajst-4785	267	2	international	international	PROPN
ajst-4785	267	3	,	,	PUNCT
ajst-4785	267	4	2020	2020	NUM
ajst-4785	267	5	,	,	PUNCT
ajst-4785	267	6	134	134	NUM
ajst-4785	267	7	:	:	SYM
ajst-4785	267	8	105297	105297	NUM
ajst-4785	267	9	.	.	PUNCT
ajst-4785	268	1	[	[	X
ajst-4785	268	2	63	63	NUM
ajst-4785	268	3	]	]	X
ajst-4785	268	4	bai	bai	PROPN
ajst-4785	268	5	heming	heming	PROPN
ajst-4785	268	6	,	,	PUNCT
ajst-4785	268	7	zheng	zheng	PROPN
ajst-4785	268	8	zhi	zhi	PROPN
ajst-4785	268	9	,	,	PUNCT
ajst-4785	268	10	zhang	zhang	PROPN
ajst-4785	268	11	yuanpeng	yuanpeng	PROPN
ajst-4785	268	12	,	,	PUNCT
ajst-4785	268	13	et	et	PROPN
ajst-4785	268	14	al	al	PROPN
ajst-4785	268	15	.	.	PROPN
ajst-4785	268	16	comparison	comparison	NOUN
ajst-4785	268	17	of	of	ADP
ajst-4785	268	18	satellite	satellite	NOUN
ajst-4785	268	19	-	-	PUNCT
ajst-4785	268	20	based	base	VERB
ajst-4785	268	21	pm2.5	pm2.5	PROPN
ajst-4785	268	22	estimat	estimat	ADJ
ajst-4785	268	23	ion	ion	NOUN
ajst-4785	268	24	from	from	ADP
ajst-4785	268	25	aerosol	aerosol	NOUN
ajst-4785	268	26	optical	optical	ADJ
ajst-4785	268	27	depth	depth	NOUN
ajst-4785	268	28	and	and	CCONJ
ajst-4785	268	29	top	top	ADJ
ajst-4785	268	30	-	-	PUNCT
ajst-4785	268	31	of	of	ADP
ajst-4785	268	32	-	-	PUNCT
ajst-4785	268	33	atmosphere	atmosphere	NOUN
ajst-4785	268	34	reflectance[j	reflectance[j	NOUN
ajst-4785	268	35	]	]	PUNCT
ajst-4785	268	36	.	.	PUNCT
ajst-4785	269	1	aerosol	aerosol	NOUN
ajst-4785	269	2	and	and	CCONJ
ajst-4785	269	3	air	air	NOUN
ajst-4785	269	4	quality	quality	NOUN
ajst-4785	269	5	research	research	NOUN
ajst-4785	269	6	,	,	PUNCT
ajst-4785	269	7	2021	2021	NUM
ajst-4785	269	8	,	,	PUNCT
ajst-4785	269	9	21(2	21(2	NUM
ajst-4785	269	10	):	):	PUNCT
ajst-4785	269	11	200257	200257	NUM
ajst-4785	269	12	.	.	PUNCT
ajst-4785	270	1	[	[	X
ajst-4785	270	2	64	64	NUM
ajst-4785	270	3	]	]	PUNCT
ajst-4785	270	4	shin	shin	PROPN
ajst-4785	270	5	m	m	PROPN
ajst-4785	270	6	,	,	PUNCT
ajst-4785	270	7	kang	kang	PROPN
ajst-4785	270	8	y	y	PROPN
ajst-4785	270	9	,	,	PUNCT
ajst-4785	270	10	park	park	NOUN
ajst-4785	270	11	s	s	PROPN
ajst-4785	270	12	,	,	PUNCT
ajst-4785	270	13	et	et	PROPN
ajst-4785	270	14	al	al	PROPN
ajst-4785	270	15	.	.	PUNCT
ajst-4785	270	16	estimating	estimate	VERB
ajst-4785	270	17	ground	ground	NOUN
ajst-4785	270	18	-	-	PUNCT
ajst-4785	270	19	level	level	NOUN
ajst-4785	270	20	particulate	particulate	NOUN
ajst-4785	270	21	matter	matter	NOUN
ajst-4785	270	22	concentrations	concentration	NOUN
ajst-4785	270	23	usin	usin	VERB
ajst-4785	270	24	g	g	PROPN
ajst-4785	270	25	satellite	satellite	NOUN
ajst-4785	270	26	-	-	PUNCT
ajst-4785	270	27	based	base	VERB
ajst-4785	270	28	data	datum	NOUN
ajst-4785	270	29	:	:	PUNCT
ajst-4785	270	30	a	a	DET
ajst-4785	270	31	review[j	review[j	PROPN
ajst-4785	270	32	]	]	PUNCT
ajst-4785	270	33	.	.	PUNCT
ajst-4785	271	1	giscience	giscience	NOUN
ajst-4785	271	2	&	&	CCONJ
ajst-4785	271	3	remote	remote	ADJ
ajst-4785	271	4	sensing	sensing	NOUN
ajst-4785	271	5	,	,	PUNCT
ajst-4785	271	6	2019	2019	NUM
ajst-4785	271	7	,	,	PUNCT
ajst-4785	271	8	57(2	57(2	NUM
ajst-4785	271	9	):	):	PUNCT
ajst-4785	271	10	174	174	NUM
ajst-4785	271	11	-	-	SYM
ajst-4785	271	12	189	189	NUM
ajst-4785	271	13	.	.	PUNCT
ajst-4785	272	1	[	[	X
ajst-4785	272	2	65	65	NUM
ajst-4785	272	3	]	]	X
ajst-4785	272	4	moazami	moazami	PROPN
ajst-4785	272	5	s	s	PROPN
ajst-4785	272	6	,	,	PUNCT
ajst-4785	272	7	noori	noori	PROPN
ajst-4785	272	8	r	r	PROPN
ajst-4785	272	9	,	,	PUNCT
ajst-4785	272	10	amiri	amiri	PROPN
ajst-4785	272	11	b	b	PROPN
ajst-4785	272	12	j	j	PROPN
ajst-4785	272	13	,	,	PUNCT
ajst-4785	272	14	et	et	PROPN
ajst-4785	272	15	al	al	PROPN
ajst-4785	272	16	.	.	PROPN
ajst-4785	273	1	reliable	reliable	ADJ
ajst-4785	273	2	prediction	prediction	NOUN
ajst-4785	273	3	of	of	ADP
ajst-4785	273	4	carbon	carbon	NOUN
ajst-4785	273	5	monoxide	monoxide	NOUN
ajst-4785	273	6	using	using	AUX
ajst-4785	273	7	develop	develop	VERB
ajst-4785	273	8	ed	ed	NOUN
ajst-4785	273	9	support	support	NOUN
ajst-4785	273	10	vector	vector	NOUN
ajst-4785	273	11	machine[j	machine[j	PROPN
ajst-4785	273	12	]	]	PUNCT
ajst-4785	273	13	.	.	PUNCT
ajst-4785	274	1	atmospheric	atmospheric	ADJ
ajst-4785	274	2	pollution	pollution	NOUN
ajst-4785	274	3	research	research	NOUN
ajst-4785	274	4	,	,	PUNCT
ajst-4785	274	5	2016	2016	NUM
ajst-4785	274	6	,	,	PUNCT
ajst-4785	274	7	7(30	7(30	NUM
ajst-4785	274	8	):	):	PUNCT
ajst-4785	274	9	412	412	NUM
ajst-4785	274	10	-	-	SYM
ajst-4785	274	11	418	418	NUM
ajst-4785	274	12	.	.	PUNCT
ajst-4785	275	1	[	[	X
ajst-4785	275	2	66	66	NUM
ajst-4785	275	3	]	]	X
ajst-4785	275	4	yeganeh	yeganeh	PROPN
ajst-4785	275	5	b	b	PROPN
ajst-4785	275	6	,	,	PUNCT
ajst-4785	275	7	hewson	hewson	PROPN
ajst-4785	275	8	m	m	PROPN
ajst-4785	275	9	g	g	PROPN
ajst-4785	275	10	,	,	PUNCT
ajst-4785	275	11	clifford	clifford	PROPN
ajst-4785	275	12	s	s	PROPN
ajst-4785	275	13	,	,	PUNCT
ajst-4785	275	14	et	et	PROPN
ajst-4785	275	15	al	al	PROPN
ajst-4785	275	16	.	.	PUNCT
ajst-4785	276	1	a	a	DET
ajst-4785	276	2	satellite	satellite	NOUN
ajst-4785	276	3	-	-	PUNCT
ajst-4785	276	4	based	base	VERB
ajst-4785	276	5	model	model	NOUN
ajst-4785	276	6	for	for	ADP
ajst-4785	276	7	estimating	estimate	VERB
ajst-4785	276	8	pm2.5	pm2.5	PRON
ajst-4785	276	9	con	con	NOUN
ajst-4785	276	10	centration	centration	NOUN
ajst-4785	276	11	in	in	ADP
ajst-4785	276	12	a	a	DET
ajst-4785	276	13	sparsely	sparsely	ADV
ajst-4785	276	14	populated	populated	ADJ
ajst-4785	276	15	environment	environment	NOUN
ajst-4785	276	16	using	use	VERB
ajst-4785	276	17	soft	soft	ADJ
ajst-4785	276	18	computing	compute	VERB
ajst-4785	276	19	techniques[j	techniques[j	NOUN
ajst-4785	276	20	]	]	PUNCT
ajst-4785	276	21	.	.	PUNCT
ajst-4785	277	1	environm	environm	VERB
ajst-4785	277	2	ental	ental	ADJ
ajst-4785	277	3	modelling	modelling	NOUN
ajst-4785	277	4	&	&	CCONJ
ajst-4785	277	5	software	software	NOUN
ajst-4785	277	6	,	,	PUNCT
ajst-4785	277	7	2017	2017	NUM
ajst-4785	277	8	,	,	PUNCT
ajst-4785	277	9	88	88	NUM
ajst-4785	277	10	:	:	SYM
ajst-4785	277	11	84	84	NUM
ajst-4785	277	12	-	-	SYM
ajst-4785	277	13	92	92	NUM
ajst-4785	277	14	.	.	PUNCT
ajst-4785	278	1	[	[	X
ajst-4785	278	2	67	67	NUM
ajst-4785	278	3	]	]	X
ajst-4785	278	4	hou	hou	PROPN
ajst-4785	278	5	weizhen	weizhen	PROPN
ajst-4785	278	6	,	,	PUNCT
ajst-4785	278	7	li	li	PROPN
ajst-4785	278	8	zhengqiang	zhengqiang	PROPN
ajst-4785	278	9	,	,	PUNCT
ajst-4785	278	10	zhang	zhang	PROPN
ajst-4785	278	11	yuhuan	yuhuan	PROPN
ajst-4785	278	12	,	,	PUNCT
ajst-4785	278	13	et	et	PROPN
ajst-4785	278	14	al	al	PROPN
ajst-4785	278	15	.	.	PUNCT
ajst-4785	279	1	using	use	VERB
ajst-4785	279	2	support	support	NOUN
ajst-4785	279	3	vector	vector	NOUN
ajst-4785	279	4	regression	regression	NOUN
ajst-4785	279	5	to	to	PART
ajst-4785	279	6	predict	predict	VERB
ajst-4785	279	7	pm10	pm10	PROPN
ajst-4785	279	8	and	and	CCONJ
ajst-4785	279	9	pm2.5[j].iop	pm2.5[j].iop	NOUN
ajst-4785	279	10	conference	conference	NOUN
ajst-4785	279	11	series	series	NOUN
ajst-4785	279	12	:	:	PUNCT
ajst-4785	279	13	earth	earth	NOUN
ajst-4785	279	14	and	and	CCONJ
ajst-4785	279	15	environmental	environmental	ADJ
ajst-4785	279	16	science	science	NOUN
ajst-4785	279	17	,	,	PUNCT
ajst-4785	279	18	2014	2014	NUM
ajst-4785	279	19	,	,	PUNCT
ajst-4785	279	20	17	17	NUM
ajst-4785	279	21	:	:	SYM
ajst-4785	279	22	012268	012268	NUM
ajst-4785	279	23	.	.	PUNCT
ajst-4785	280	1	[	[	X
ajst-4785	280	2	68	68	NUM
ajst-4785	280	3	]	]	X
ajst-4785	280	4	yang	yang	PROPN
ajst-4785	280	5	lijuan	lijuan	PROPN
ajst-4785	280	6	,	,	PUNCT
ajst-4785	280	7	xu	xu	PROPN
ajst-4785	280	8	hanqiu	hanqiu	PROPN
ajst-4785	280	9	,	,	PUNCT
ajst-4785	280	10	jin	jin	PROPN
ajst-4785	280	11	zhifan	zhifan	PROPN
ajst-4785	280	12	.	.	PUNCT
ajst-4785	281	1	estimating	estimate	VERB
ajst-4785	281	2	ground	ground	NOUN
ajst-4785	281	3	-	-	PUNCT
ajst-4785	281	4	level	level	NOUN
ajst-4785	281	5	pm2.5	pm2.5	PROPN
ajst-4785	281	6	over	over	ADP
ajst-4785	281	7	a	a	DET
ajst-4785	281	8	coastal	coastal	ADJ
ajst-4785	281	9	region	region	NOUN
ajst-4785	281	10	of	of	ADP
ajst-4785	281	11	china	china	PROPN
ajst-4785	281	12	using	use	VERB
ajst-4785	281	13	satellite	satellite	NOUN
ajst-4785	281	14	aod	aod	NOUN
ajst-4785	281	15	and	and	CCONJ
ajst-4785	281	16	a	a	DET
ajst-4785	281	17	combined	combined	ADJ
ajst-4785	281	18	model[j	model[j	PROPN
ajst-4785	281	19	]	]	PUNCT
ajst-4785	281	20	.	.	PUNCT
ajst-4785	282	1	journal	journal	PROPN
ajst-4785	282	2	of	of	ADP
ajst-4785	282	3	cleaner	clean	ADJ
ajst-4785	282	4	production	production	NOUN
ajst-4785	282	5	,	,	PUNCT
ajst-4785	282	6	2019	2019	NUM
ajst-4785	282	7	,	,	PUNCT
ajst-4785	282	8	227	227	NUM
ajst-4785	282	9	:	:	PUNCT
ajst-4785	282	10	472	472	NUM
ajst-4785	282	11	-	-	SYM
ajst-4785	282	12	482	482	NUM
ajst-4785	282	13	.	.	PUNCT
ajst-4785	283	1	[	[	X
ajst-4785	283	2	69	69	NUM
ajst-4785	283	3	]	]	PUNCT
ajst-4785	283	4	li	li	PROPN
ajst-4785	283	5	tongwen	tongwen	PROPN
ajst-4785	283	6	,	,	PUNCT
ajst-4785	283	7	shen	shen	PROPN
ajst-4785	283	8	huanfeng	huanfeng	PROPN
ajst-4785	283	9	,	,	PUNCT
ajst-4785	283	10	yuan	yuan	PROPN
ajst-4785	283	11	qiangqiang	qiangqiang	PROPN
ajst-4785	283	12	,	,	PUNCT
ajst-4785	283	13	et	et	PROPN
ajst-4785	283	14	al	al	PROPN
ajst-4785	283	15	.	.	PUNCT
ajst-4785	283	16	estimating	estimate	VERB
ajst-4785	283	17	ground	ground	NOUN
ajst-4785	283	18	-	-	PUNCT
ajst-4785	283	19	level	level	NOUN
ajst-4785	283	20	pm2.5	pm2.5	PROPN
ajst-4785	283	21	by	by	ADP
ajst-4785	283	22	fusi	fusi	PROPN
ajst-4785	283	23	ng	ng	PROPN
ajst-4785	283	24	satellite	satellite	PROPN
ajst-4785	283	25	and	and	CCONJ
ajst-4785	283	26	station	station	NOUN
ajst-4785	283	27	observations	observation	NOUN
ajst-4785	283	28	:	:	PUNCT
ajst-4785	283	29	a	a	DET
ajst-4785	283	30	geo	geo	PROPN
ajst-4785	283	31	-	-	PUNCT
ajst-4785	283	32	intelligent	intelligent	ADJ
ajst-4785	283	33	deep	deep	ADJ
ajst-4785	283	34	learning	learn	VERB
ajst-4785	283	35	approach[j	approach[j	PROPN
ajst-4785	283	36	]	]	PUNCT
ajst-4785	283	37	.	.	PUNCT
ajst-4785	284	1	geophysical	geophysical	ADJ
ajst-4785	284	2	research	research	NOUN
ajst-4785	284	3	letters	letter	NOUN
ajst-4785	284	4	,	,	PUNCT
ajst-4785	284	5	2017	2017	NUM
ajst-4785	284	6	,	,	PUNCT
ajst-4785	284	7	44(23	44(23	NOUN
ajst-4785	284	8	):	):	PUNCT
ajst-4785	284	9	11985	11985	NUM
ajst-4785	284	10	-	-	SYM
ajst-4785	284	11	11993	11993	NUM
ajst-4785	284	12	.	.	PUNCT
ajst-4785	285	1	[	[	X
ajst-4785	285	2	70	70	NUM
ajst-4785	285	3	]	]	X
ajst-4785	285	4	zang	zang	PROPN
ajst-4785	285	5	lin	lin	PROPN
ajst-4785	285	6	,	,	PUNCT
ajst-4785	285	7	mao	mao	NOUN
ajst-4785	285	8	feiyue	feiyue	PROPN
ajst-4785	285	9	,	,	PUNCT
ajst-4785	285	10	guo	guo	PROPN
ajst-4785	285	11	jianping	jianping	NOUN
ajst-4785	285	12	,	,	PUNCT
ajst-4785	285	13	et	et	PROPN
ajst-4785	285	14	al	al	PROPN
ajst-4785	285	15	.	.	PUNCT
ajst-4785	285	16	estimation	estimation	NOUN
ajst-4785	285	17	of	of	ADP
ajst-4785	285	18	spatiotemporal	spatiotemporal	ADJ
ajst-4785	285	19	pm10	pm10	PROPN
ajst-4785	285	20	distributions	distribution	NOUN
ajst-4785	285	21	i	i	PRON
ajst-4785	285	22	n	n	VERB
ajst-4785	285	23	china	china	PROPN
ajst-4785	285	24	by	by	ADP
ajst-4785	285	25	combining	combine	VERB
ajst-4785	285	26	pm2.5	pm2.5	ADJ
ajst-4785	285	27	observations	observation	NOUN
ajst-4785	285	28	with	with	ADP
ajst-4785	285	29	satellite	satellite	NOUN
ajst-4785	285	30	aerosol	aerosol	NOUN
ajst-4785	285	31	optical	optical	ADJ
ajst-4785	285	32	depth[j	depth[j	NOUN
ajst-4785	285	33	]	]	PUNCT
ajst-4785	285	34	.	.	PUNCT
ajst-4785	286	1	science	science	NOUN
ajst-4785	286	2	of	of	ADP
ajst-4785	286	3	t	t	PROPN
ajst-4785	286	4	he	he	PRON
ajst-4785	286	5	total	total	PROPN
ajst-4785	286	6	environment	environment	NOUN
ajst-4785	286	7	,	,	PUNCT
ajst-4785	286	8	2019	2019	NUM
ajst-4785	286	9	,	,	PUNCT
ajst-4785	286	10	658	658	NUM
ajst-4785	286	11	:	:	SYM
ajst-4785	286	12	1256	1256	NUM
ajst-4785	286	13	-	-	SYM
ajst-4785	286	14	1264	1264	NUM
ajst-4785	286	15	.	.	PUNCT
ajst-4785	287	1	[	[	X
ajst-4785	287	2	71	71	NUM
ajst-4785	287	3	]	]	X
ajst-4785	287	4	guo	guo	PROPN
ajst-4785	287	5	wei	wei	PROPN
ajst-4785	287	6	,	,	PUNCT
ajst-4785	287	7	zhang	zhang	PROPN
ajst-4785	287	8	bo	bo	PROPN
ajst-4785	287	9	,	,	PUNCT
ajst-4785	287	10	wei	wei	PROPN
ajst-4785	287	11	qiang	qiang	PROPN
ajst-4785	287	12	,	,	PUNCT
ajst-4785	287	13	et	et	PROPN
ajst-4785	287	14	al	al	PROPN
ajst-4785	287	15	.	.	PUNCT
ajst-4785	287	16	estimating	estimate	VERB
ajst-4785	287	17	ground	ground	NOUN
ajst-4785	287	18	-	-	PUNCT
ajst-4785	287	19	level	level	NOUN
ajst-4785	287	20	pm2.5	pm2.5	PART
ajst-4785	287	21	concentrations	concentration	NOUN
ajst-4785	287	22	using	use	VERB
ajst-4785	287	23	t	t	PROPN
ajst-4785	287	24	wo	will	AUX
ajst-4785	287	25	-	-	PUNCT
ajst-4785	287	26	stage	stage	NOUN
ajst-4785	287	27	model	model	NOUN
ajst-4785	287	28	in	in	ADP
ajst-4785	287	29	beijingtianjin	beijingtianjin	NOUN
ajst-4785	287	30	-	-	PUNCT
ajst-4785	287	31	hebei	hebei	NOUN
ajst-4785	287	32	,	,	PUNCT
ajst-4785	287	33	china[j].atmospheric	china[j].atmospheric	ADJ
ajst-4785	287	34	pollution	pollution	NOUN
ajst-4785	287	35	research	research	NOUN
ajst-4785	287	36	,	,	PUNCT
ajst-4785	287	37	2021	2021	NUM
ajst-4785	287	38	,	,	PUNCT
ajst-4785	287	39	12	12	NUM
ajst-4785	287	40	:	:	SYM
ajst-4785	287	41	101154	101154	NUM
ajst-4785	287	42	.	.	PUNCT
ajst-4785	288	1	[	[	X
ajst-4785	288	2	72	72	NUM
ajst-4785	288	3	]	]	X
ajst-4785	288	4	ma	ma	PROPN
ajst-4785	288	5	zongwei	zongwei	PROPN
ajst-4785	288	6	,	,	PUNCT
ajst-4785	288	7	hu	hu	PROPN
ajst-4785	288	8	xuefei	xuefei	PROPN
ajst-4785	288	9	,	,	PUNCT
ajst-4785	288	10	sayera	sayera	PROPN
ajst-4785	288	11	m	m	PROPN
ajst-4785	288	12	,	,	PUNCT
ajst-4785	288	13	et	et	PROPN
ajst-4785	288	14	al	al	PROPN
ajst-4785	288	15	.	.	PROPN
ajst-4785	288	16	satellite	satellite	NOUN
ajst-4785	288	17	-	-	PUNCT
ajst-4785	288	18	based	base	VERB
ajst-4785	288	19	spatiotemporal	spatiotemporal	ADJ
ajst-4785	288	20	trends	trend	NOUN
ajst-4785	288	21	in	in	ADP
ajst-4785	288	22	pm2.5	pm2.5	DET
ajst-4785	288	23	con	con	NOUN
ajst-4785	288	24	centrations	centration	NOUN
ajst-4785	288	25	:	:	PUNCT
ajst-4785	288	26	china	china	PROPN
ajst-4785	288	27	,	,	PUNCT
ajst-4785	288	28	20042013[j	20042013[j	NUM
ajst-4785	288	29	]	]	PUNCT
ajst-4785	288	30	.	.	PUNCT
ajst-4785	289	1	environmental	environmental	ADJ
ajst-4785	289	2	health	health	NOUN
ajst-4785	289	3	perspectives	perspective	NOUN
ajst-4785	289	4	,	,	PUNCT
ajst-4785	289	5	2016	2016	NUM
ajst-4785	289	6	,	,	PUNCT
ajst-4785	289	7	124(2	124(2	NUM
ajst-4785	289	8	):	):	PUNCT
ajst-4785	289	9	184	184	NUM
ajst-4785	289	10	-	-	SYM
ajst-4785	289	11	192	192	NUM
ajst-4785	289	12	.	.	PUNCT
ajst-4785	290	1	[	[	X
ajst-4785	290	2	73	73	NUM
ajst-4785	290	3	]	]	X
ajst-4785	290	4	zhang	zhang	PROPN
ajst-4785	290	5	kainan	kainan	PROPN
ajst-4785	290	6	,	,	PUNCT
ajst-4785	290	7	de	de	PROPN
ajst-4785	290	8	leeuw	leeuw	PROPN
ajst-4785	290	9	g	g	PROPN
ajst-4785	290	10	,	,	PUNCT
ajst-4785	290	11	yang	yang	PROPN
ajst-4785	290	12	zhiqiang	zhiqiang	PROPN
ajst-4785	290	13	,	,	PUNCT
ajst-4785	290	14	et	et	PROPN
ajst-4785	290	15	al	al	PROPN
ajst-4785	290	16	.	.	PUNCT
ajst-4785	290	17	estimating	estimate	VERB
ajst-4785	290	18	spatio	spatio	PROPN
ajst-4785	290	19	-	-	PUNCT
ajst-4785	290	20	temporal	temporal	ADJ
ajst-4785	290	21	variations	variation	NOUN
ajst-4785	290	22	of	of	ADP
ajst-4785	290	23	p	p	NOUN
ajst-4785	290	24	m2.5	m2.5	NOUN
ajst-4785	290	25	concentrations	concentration	NOUN
ajst-4785	290	26	using	use	VERB
ajst-4785	290	27	viirs	viir	NOUN
ajst-4785	290	28	-	-	PUNCT
ajst-4785	290	29	derived	derive	VERB
ajst-4785	290	30	aod	aod	NOUN
ajst-4785	290	31	in	in	ADP
ajst-4785	290	32	the	the	DET
ajst-4785	290	33	guanzhong	guanzhong	PROPN
ajst-4785	290	34	basin	basin	NOUN
ajst-4785	290	35	,	,	PUNCT
ajst-4785	290	36	china[j	china[j	PROPN
ajst-4785	290	37	]	]	PUNCT
ajst-4785	290	38	.	.	PUNCT
ajst-4785	291	1	remote	remote	PROPN
ajst-4785	291	2	s	s	PRON
ajst-4785	291	3	ensing	ense	VERB
ajst-4785	291	4	,	,	PUNCT
ajst-4785	291	5	2019	2019	NUM
ajst-4785	291	6	,	,	PUNCT
ajst-4785	291	7	11(22	11(22	NUM
ajst-4785	291	8	):	):	PUNCT
ajst-4785	291	9	2679	2679	NUM
ajst-4785	291	10	.	.	PUNCT
ajst-4785	292	1	[	[	X
ajst-4785	292	2	74	74	NUM
ajst-4785	292	3	]	]	PUNCT
ajst-4785	292	4	yao	yao	PROPN
ajst-4785	292	5	fei	fei	PROPN
ajst-4785	292	6	,	,	PUNCT
ajst-4785	292	7	wu	wu	PROPN
ajst-4785	292	8	jiansheng	jiansheng	PROPN
ajst-4785	292	9	,	,	PUNCT
ajst-4785	292	10	li	li	PROPN
ajst-4785	292	11	weifeng	weifeng	PROPN
ajst-4785	292	12	,	,	PUNCT
ajst-4785	292	13	et	et	PROPN
ajst-4785	292	14	al	al	PROPN
ajst-4785	292	15	.	.	PUNCT
ajst-4785	293	1	a	a	DET
ajst-4785	293	2	spatially	spatially	ADV
ajst-4785	293	3	structured	structure	VERB
ajst-4785	293	4	adaptive	adaptive	ADJ
ajst-4785	293	5	two	two	NUM
ajst-4785	293	6	-	-	PUNCT
ajst-4785	293	7	stage	stage	NOUN
ajst-4785	293	8	model	model	NOUN
ajst-4785	293	9	for	for	ADP
ajst-4785	293	10	retrieving	retrieve	VERB
ajst-4785	293	11	groundlevel	groundlevel	NOUN
ajst-4785	293	12	pm2.5concentrations	pm2.5concentration	NOUN
ajst-4785	293	13	from	from	ADP
ajst-4785	293	14	viirs	viir	NOUN
ajst-4785	293	15	aod	aod	PROPN
ajst-4785	293	16	in	in	ADP
ajst-4785	293	17	china[j	china[j	PROPN
ajst-4785	293	18	]	]	PUNCT
ajst-4785	293	19	.	.	PUNCT
ajst-4785	294	1	isprs	isprs	PROPN
ajst-4785	294	2	journal	journal	PROPN
ajst-4785	294	3	o	o	PROPN
ajst-4785	294	4	f	f	X
ajst-4785	294	5	photogrammetry	photogrammetry	NOUN
ajst-4785	294	6	and	and	CCONJ
ajst-4785	294	7	remote	remote	ADJ
ajst-4785	294	8	sensing	sensing	NOUN
ajst-4785	294	9	,	,	PUNCT
ajst-4785	294	10	2019	2019	NUM
ajst-4785	294	11	,	,	PUNCT
ajst-4785	294	12	151	151	NUM
ajst-4785	294	13	:	:	PUNCT
ajst-4785	294	14	263	263	NUM
ajst-4785	294	15	-	-	SYM
ajst-4785	294	16	276	276	NUM
ajst-4785	294	17	.	.	PUNCT
ajst-4785	295	1	[	[	X
ajst-4785	295	2	75	75	NUM
ajst-4785	295	3	]	]	X
ajst-4785	295	4	liang	liang	PROPN
ajst-4785	295	5	fengchao	fengchao	PROPN
ajst-4785	295	6	,	,	PUNCT
ajst-4785	295	7	xiao	xiao	PROPN
ajst-4785	295	8	qingyang	qingyang	PROPN
ajst-4785	295	9	,	,	PUNCT
ajst-4785	295	10	wang	wang	PROPN
ajst-4785	295	11	yuejie	yuejie	PROPN
ajst-4785	295	12	,	,	PUNCT
ajst-4785	295	13	et	et	PROPN
ajst-4785	295	14	al	al	PROPN
ajst-4785	295	15	.	.	PROPN
ajst-4785	295	16	maiacbased	maiacbase	VERB
ajst-4785	295	17	long	long	ADJ
ajst-4785	295	18	-	-	PUNCT
ajst-4785	295	19	term	term	NOUN
ajst-4785	295	20	spatiotempora	spatiotempora	PROPN
ajst-4785	295	21	l	l	NOUN
ajst-4785	295	22	trends	trend	NOUN
ajst-4785	295	23	of	of	ADP
ajst-4785	295	24	pm2.5	pm2.5	PROPN
ajst-4785	295	25	in	in	ADP
ajst-4785	295	26	beijing	beijing	PROPN
ajst-4785	295	27	,	,	PUNCT
ajst-4785	295	28	china[j	china[j	PROPN
ajst-4785	295	29	]	]	PUNCT
ajst-4785	295	30	.	.	PUNCT
ajst-4785	296	1	science	science	NOUN
ajst-4785	296	2	of	of	ADP
ajst-4785	296	3	the	the	DET
ajst-4785	296	4	total	total	ADJ
ajst-4785	296	5	environment	environment	NOUN
ajst-4785	296	6	,	,	PUNCT
ajst-4785	296	7	2018	2018	NUM
ajst-4785	296	8	,	,	PUNCT
ajst-4785	296	9	616	616	NUM
ajst-4785	296	10	-	-	SYM
ajst-4785	296	11	617	617	NUM
ajst-4785	296	12	:	:	PUNCT
ajst-4785	296	13	158	158	NUM
ajst-4785	296	14	9	9	NUM
ajst-4785	296	15	-	-	SYM
ajst-4785	296	16	1598	1598	NUM
ajst-4785	296	17	.	.	PUNCT