id sid tid token lemma pos ajst-21787 1 1 academic academic ADJ ajst-21787 1 2 journal journal NOUN ajst-21787 1 3 of of ADP ajst-21787 1 4 science science NOUN ajst-21787 1 5 and and CCONJ ajst-21787 1 6 technology technology NOUN ajst-21787 1 7 issn issn NOUN ajst-21787 1 8 : : PUNCT ajst-21787 1 9 2771 2771 NUM ajst-21787 1 10 - - SYM ajst-21787 1 11 3032 3032 NUM ajst-21787 1 12 | | NOUN ajst-21787 1 13 vol vol NOUN ajst-21787 1 14 . . PROPN ajst-21787 2 1 11 11 NUM ajst-21787 2 2 , , PUNCT ajst-21787 2 3 no no INTJ ajst-21787 2 4 . . NOUN ajst-21787 2 5 1 1 NUM ajst-21787 2 6 , , PUNCT ajst-21787 2 7 2024 2024 NUM ajst-21787 2 8 185 185 NUM ajst-21787 2 9 construction construction NOUN ajst-21787 2 10 of of ADP ajst-21787 2 11 urban urban ADJ ajst-21787 2 12 black black ADJ ajst-21787 2 13 and and CCONJ ajst-21787 2 14 odorous odorous ADJ ajst-21787 2 15 water water NOUN ajst-21787 2 16 remote remote ADJ ajst-21787 2 17 sensing sense VERB ajst-21787 2 18 recognition recognition NOUN ajst-21787 2 19 model model NOUN ajst-21787 2 20 based base VERB ajst-21787 2 21 on on ADP ajst-21787 2 22 feature feature NOUN ajst-21787 2 23 band band NOUN ajst-21787 2 24 zepei zepei PROPN ajst-21787 2 25 wang1 wang1 PROPN ajst-21787 2 26 , , PUNCT ajst-21787 2 27 a a DET ajst-21787 2 28 1school 1school NUM ajst-21787 2 29 of of ADP ajst-21787 2 30 surveying surveying NOUN ajst-21787 2 31 and and CCONJ ajst-21787 2 32 land land NOUN ajst-21787 2 33 information information NOUN ajst-21787 2 34 engineering engineering PROPN ajst-21787 2 35 , , PUNCT ajst-21787 2 36 henan henan PROPN ajst-21787 2 37 polytechnic polytechnic PROPN ajst-21787 2 38 university university PROPN ajst-21787 2 39 , , PUNCT ajst-21787 2 40 jiaozuo jiaozuo PROPN ajst-21787 2 41 454003 454003 NUM ajst-21787 2 42 , , PUNCT ajst-21787 2 43 china china PROPN ajst-21787 2 44 a212104020023@home.hpu.edu.cn a212104020023@home.hpu.edu.cn PROPN ajst-21787 2 45 ( ( PUNCT ajst-21787 2 46 z.w z.w PROPN ajst-21787 2 47 . . PUNCT ajst-21787 2 48 ) ) PUNCT ajst-21787 3 1 abstract abstract NOUN ajst-21787 3 2 : : PUNCT ajst-21787 3 3 in in ADP ajst-21787 3 4 recent recent ADJ ajst-21787 3 5 years year NOUN ajst-21787 3 6 , , PUNCT ajst-21787 3 7 with with ADP ajst-21787 3 8 the the DET ajst-21787 3 9 rapid rapid ADJ ajst-21787 3 10 development development NOUN ajst-21787 3 11 of of ADP ajst-21787 3 12 urban urban ADJ ajst-21787 3 13 and and CCONJ ajst-21787 3 14 rural rural ADJ ajst-21787 3 15 areas area NOUN ajst-21787 3 16 in in ADP ajst-21787 3 17 china china PROPN ajst-21787 3 18 , , PUNCT ajst-21787 3 19 the the DET ajst-21787 3 20 discharge discharge NOUN ajst-21787 3 21 of of ADP ajst-21787 3 22 industrial industrial ADJ ajst-21787 3 23 wastewater wastewater NOUN ajst-21787 3 24 and and CCONJ ajst-21787 3 25 household household NOUN ajst-21787 3 26 sewage sewage NOUN ajst-21787 3 27 has have AUX ajst-21787 3 28 increased increase VERB ajst-21787 3 29 greatly greatly ADV ajst-21787 3 30 , , PUNCT ajst-21787 3 31 which which PRON ajst-21787 3 32 has have AUX ajst-21787 3 33 been be AUX ajst-21787 3 34 directly directly ADV ajst-21787 3 35 discharged discharge VERB ajst-21787 3 36 into into ADP ajst-21787 3 37 pits pit NOUN ajst-21787 3 38 and and CCONJ ajst-21787 3 39 rivers river NOUN ajst-21787 3 40 , , PUNCT ajst-21787 3 41 causing cause VERB ajst-21787 3 42 serious serious ADJ ajst-21787 3 43 pollution pollution NOUN ajst-21787 3 44 of of ADP ajst-21787 3 45 these these DET ajst-21787 3 46 bodies body NOUN ajst-21787 3 47 of of ADP ajst-21787 3 48 water.in water.in NUM ajst-21787 3 49 this this DET ajst-21787 3 50 study study NOUN ajst-21787 3 51 , , PUNCT ajst-21787 3 52 the the DET ajst-21787 3 53 sampling sample VERB ajst-21787 3 54 points point NOUN ajst-21787 3 55 were be AUX ajst-21787 3 56 first first ADV ajst-21787 3 57 divided divide VERB ajst-21787 3 58 into into ADP ajst-21787 3 59 black black ADJ ajst-21787 3 60 and and CCONJ ajst-21787 3 61 odorous odorous ADJ ajst-21787 3 62 water water NOUN ajst-21787 3 63 bodies body NOUN ajst-21787 3 64 and and CCONJ ajst-21787 3 65 general general ADJ ajst-21787 3 66 water water NOUN ajst-21787 3 67 bodies body NOUN ajst-21787 3 68 . . PUNCT ajst-21787 4 1 combined combine VERB ajst-21787 4 2 with with ADP ajst-21787 4 3 remote remote ADJ ajst-21787 4 4 sensing sensing NOUN ajst-21787 4 5 images image NOUN ajst-21787 4 6 , , PUNCT ajst-21787 4 7 the the DET ajst-21787 4 8 best good ADJ ajst-21787 4 9 threshold threshold NOUN ajst-21787 4 10 value value NOUN ajst-21787 4 11 of of ADP ajst-21787 4 12 the the DET ajst-21787 4 13 most most ADV ajst-21787 4 14 effective effective ADJ ajst-21787 4 15 feature feature NOUN ajst-21787 4 16 bands band NOUN ajst-21787 4 17 in in ADP ajst-21787 4 18 the the DET ajst-21787 4 19 classification classification NOUN ajst-21787 4 20 of of ADP ajst-21787 4 21 the the DET ajst-21787 4 22 study study NOUN ajst-21787 4 23 area area NOUN ajst-21787 4 24 was be AUX ajst-21787 4 25 explored explore VERB ajst-21787 4 26 through through ADP ajst-21787 4 27 the the DET ajst-21787 4 28 threshold threshold NOUN ajst-21787 4 29 method method NOUN ajst-21787 4 30 , , PUNCT ajst-21787 4 31 and and CCONJ ajst-21787 4 32 the the DET ajst-21787 4 33 accuracy accuracy NOUN ajst-21787 4 34 performance performance NOUN ajst-21787 4 35 of of ADP ajst-21787 4 36 different different ADJ ajst-21787 4 37 feature feature NOUN ajst-21787 4 38 bands band NOUN ajst-21787 4 39 in in ADP ajst-21787 4 40 the the DET ajst-21787 4 41 classification classification NOUN ajst-21787 4 42 process process NOUN ajst-21787 4 43 was be AUX ajst-21787 4 44 comprehensively comprehensively ADV ajst-21787 4 45 evaluated.in evaluated.in PRON ajst-21787 4 46 the the DET ajst-21787 4 47 algorithm algorithm NOUN ajst-21787 4 48 of of ADP ajst-21787 4 49 black black ADJ ajst-21787 4 50 and and CCONJ ajst-21787 4 51 odorous odorous ADJ ajst-21787 4 52 water water NOUN ajst-21787 4 53 body body NOUN ajst-21787 4 54 identification identification NOUN ajst-21787 4 55 based base VERB ajst-21787 4 56 on on ADP ajst-21787 4 57 characteristic characteristic ADJ ajst-21787 4 58 bands band NOUN ajst-21787 4 59 , , PUNCT ajst-21787 4 60 the the DET ajst-21787 4 61 thresholds threshold NOUN ajst-21787 4 62 of of ADP ajst-21787 4 63 the the DET ajst-21787 4 64 single single ADJ ajst-21787 4 65 - - PUNCT ajst-21787 4 66 band band NOUN ajst-21787 4 67 method method NOUN ajst-21787 4 68 , , PUNCT ajst-21787 4 69 the the DET ajst-21787 4 70 difference difference NOUN ajst-21787 4 71 method method NOUN ajst-21787 4 72 of of ADP ajst-21787 4 73 black black ADJ ajst-21787 4 74 and and CCONJ ajst-21787 4 75 odorous odorous ADJ ajst-21787 4 76 water water NOUN ajst-21787 4 77 body body NOUN ajst-21787 4 78 and and CCONJ ajst-21787 4 79 the the DET ajst-21787 4 80 slope slope NOUN ajst-21787 4 81 index index NOUN ajst-21787 4 82 of of ADP ajst-21787 4 83 black black ADJ ajst-21787 4 84 and and CCONJ ajst-21787 4 85 odorous odorous ADJ ajst-21787 4 86 water water NOUN ajst-21787 4 87 body body NOUN ajst-21787 4 88 in in ADP ajst-21787 4 89 the the DET ajst-21787 4 90 experimental experimental ADJ ajst-21787 4 91 area area NOUN ajst-21787 4 92 of of ADP ajst-21787 4 93 nanning nanning PROPN ajst-21787 4 94 are be AUX ajst-21787 4 95 0.0186 0.0186 NUM ajst-21787 4 96 , , PUNCT ajst-21787 4 97 0.004 0.004 NUM ajst-21787 4 98 and and CCONJ ajst-21787 4 99 0.007 0.007 NUM ajst-21787 4 100 respectively respectively ADV ajst-21787 4 101 . . PUNCT ajst-21787 5 1 these these DET ajst-21787 5 2 three three NUM ajst-21787 5 3 algorithms algorithm NOUN ajst-21787 5 4 are be AUX ajst-21787 5 5 used use VERB ajst-21787 5 6 as as ADP ajst-21787 5 7 thresholds threshold NOUN ajst-21787 5 8 to to PART ajst-21787 5 9 distinguish distinguish VERB ajst-21787 5 10 black black ADJ ajst-21787 5 11 and and CCONJ ajst-21787 5 12 odorous odorous ADJ ajst-21787 5 13 water water NOUN ajst-21787 5 14 bodies body NOUN ajst-21787 5 15 from from ADP ajst-21787 5 16 ordinary ordinary ADJ ajst-21787 5 17 water water NOUN ajst-21787 5 18 bodies body NOUN ajst-21787 5 19 . . PUNCT ajst-21787 6 1 the the DET ajst-21787 6 2 normalized normalize VERB ajst-21787 6 3 black black ADJ ajst-21787 6 4 and and CCONJ ajst-21787 6 5 odorous odorous ADJ ajst-21787 6 6 water water NOUN ajst-21787 6 7 index index NOUN ajst-21787 6 8 model model NOUN ajst-21787 6 9 determines determine VERB ajst-21787 6 10 that that SCONJ ajst-21787 6 11 the the DET ajst-21787 6 12 range range NOUN ajst-21787 6 13 of of ADP ajst-21787 6 14 black black ADJ ajst-21787 6 15 and and CCONJ ajst-21787 6 16 odorous odorous ADJ ajst-21787 6 17 water water NOUN ajst-21787 6 18 is be AUX ajst-21787 6 19 0.007 0.007 NUM ajst-21787 6 20 - - PUNCT ajst-21787 6 21 0.137 0.137 NUM ajst-21787 6 22 . . PUNCT ajst-21787 7 1 keywords keyword NOUN ajst-21787 7 2 : : PUNCT ajst-21787 7 3 black black ADJ ajst-21787 7 4 and and CCONJ ajst-21787 7 5 odorous odorous ADJ ajst-21787 7 6 water water NOUN ajst-21787 7 7 ; ; PUNCT ajst-21787 7 8 characteristic characteristic ADJ ajst-21787 7 9 band band NOUN ajst-21787 7 10 ; ; PUNCT ajst-21787 7 11 spectral spectral ADJ ajst-21787 7 12 information information NOUN ajst-21787 7 13 ; ; PUNCT ajst-21787 7 14 threshold threshold NOUN ajst-21787 7 15 method method NOUN ajst-21787 7 16 . . PUNCT ajst-21787 8 1 1 1 X ajst-21787 8 2 . . X ajst-21787 8 3 introduction introduction NOUN ajst-21787 8 4 as as ADP ajst-21787 8 5 an an DET ajst-21787 8 6 important important ADJ ajst-21787 8 7 issue issue NOUN ajst-21787 8 8 of of ADP ajst-21787 8 9 general general ADJ ajst-21787 8 10 concern concern NOUN ajst-21787 8 11 to to ADP ajst-21787 8 12 all all DET ajst-21787 8 13 sectors sector NOUN ajst-21787 8 14 of of ADP ajst-21787 8 15 society society NOUN ajst-21787 8 16 , , PUNCT ajst-21787 8 17 environmental environmental ADJ ajst-21787 8 18 governance governance NOUN ajst-21787 8 19 has have AUX ajst-21787 8 20 always always ADV ajst-21787 8 21 attracted attract VERB ajst-21787 8 22 much much ADJ ajst-21787 8 23 attention attention NOUN ajst-21787 8 24 . . PUNCT ajst-21787 9 1 in in ADP ajst-21787 9 2 many many ADJ ajst-21787 9 3 fields field NOUN ajst-21787 9 4 of of ADP ajst-21787 9 5 environmental environmental ADJ ajst-21787 9 6 governance governance NOUN ajst-21787 9 7 , , PUNCT ajst-21787 9 8 water water NOUN ajst-21787 9 9 body body NOUN ajst-21787 9 10 governance governance NOUN ajst-21787 9 11 has have AUX ajst-21787 9 12 been be AUX ajst-21787 9 13 recognized recognize VERB ajst-21787 9 14 as as ADP ajst-21787 9 15 the the DET ajst-21787 9 16 core core NOUN ajst-21787 9 17 and and CCONJ ajst-21787 9 18 key key NOUN ajst-21787 9 19 of of ADP ajst-21787 9 20 environmental environmental ADJ ajst-21787 9 21 governance governance NOUN ajst-21787 9 22 due due ADP ajst-21787 9 23 to to ADP ajst-21787 9 24 its its PRON ajst-21787 9 25 unique unique ADJ ajst-21787 9 26 challenges challenge NOUN ajst-21787 9 27 , , PUNCT ajst-21787 9 28 such such ADJ ajst-21787 9 29 as as ADP ajst-21787 9 30 difficult difficult ADJ ajst-21787 9 31 remediation remediation NOUN ajst-21787 9 32 , , PUNCT ajst-21787 9 33 complex complex ADJ ajst-21787 9 34 process process NOUN ajst-21787 9 35 , , PUNCT ajst-21787 9 36 easy easy ADJ ajst-21787 9 37 recurrence recurrence NOUN ajst-21787 9 38 and and CCONJ ajst-21787 9 39 difficult difficult ADJ ajst-21787 9 40 monitoring[1 monitoring[1 NOUN ajst-21787 9 41 ] ] PUNCT ajst-21787 9 42 . . PUNCT ajst-21787 10 1 the the DET ajst-21787 10 2 classical classical ADJ ajst-21787 10 3 single single ADJ ajst-21787 10 4 band band NOUN ajst-21787 10 5 method method NOUN ajst-21787 10 6 and and CCONJ ajst-21787 10 7 difference difference NOUN ajst-21787 10 8 index index NOUN ajst-21787 10 9 method method NOUN ajst-21787 10 10 are be AUX ajst-21787 10 11 needed need VERB ajst-21787 10 12 for for ADP ajst-21787 10 13 the the DET ajst-21787 10 14 preliminary preliminary ADJ ajst-21787 10 15 identification identification NOUN ajst-21787 10 16 of of ADP ajst-21787 10 17 black black ADJ ajst-21787 10 18 and and CCONJ ajst-21787 10 19 odorous odorous ADJ ajst-21787 10 20 water water NOUN ajst-21787 10 21 bodies body NOUN ajst-21787 10 22 . . PUNCT ajst-21787 11 1 based base VERB ajst-21787 11 2 on on ADP ajst-21787 11 3 the the DET ajst-21787 11 4 single single ADJ ajst-21787 11 5 band band NOUN ajst-21787 11 6 method method NOUN ajst-21787 11 7 , , PUNCT ajst-21787 11 8 wen wen PROPN ajst-21787 11 9 et et PROPN ajst-21787 11 10 al al PROPN ajst-21787 11 11 . . PROPN ajst-21787 11 12 proposed propose VERB ajst-21787 11 13 the the DET ajst-21787 11 14 band band NOUN ajst-21787 11 15 ratio ratio NOUN ajst-21787 11 16 method method NOUN ajst-21787 11 17 by by ADP ajst-21787 11 18 studying study VERB ajst-21787 11 19 the the DET ajst-21787 11 20 spectral spectral ADJ ajst-21787 11 21 curve curve NOUN ajst-21787 11 22 of of ADP ajst-21787 11 23 black black ADJ ajst-21787 11 24 and and CCONJ ajst-21787 11 25 odorous odorous ADJ ajst-21787 11 26 water water NOUN ajst-21787 11 27 bodies[2 bodies[2 NOUN ajst-21787 11 28 ] ] PUNCT ajst-21787 11 29 . . PUNCT ajst-21787 12 1 this this DET ajst-21787 12 2 innovative innovative ADJ ajst-21787 12 3 method method NOUN ajst-21787 12 4 provides provide VERB ajst-21787 12 5 an an DET ajst-21787 12 6 important important ADJ ajst-21787 12 7 reference reference NOUN ajst-21787 12 8 for for ADP ajst-21787 12 9 subsequent subsequent ADJ ajst-21787 12 10 research research NOUN ajst-21787 12 11 . . PUNCT ajst-21787 13 1 yao yao PROPN ajst-21787 13 2 yue yue PROPN ajst-21787 13 3 et et PROPN ajst-21787 13 4 al al PROPN ajst-21787 13 5 . . PROPN ajst-21787 13 6 further further PROPN ajst-21787 13 7 improved improve VERB ajst-21787 13 8 the the DET ajst-21787 13 9 band band NOUN ajst-21787 13 10 ratio ratio NOUN ajst-21787 13 11 method method NOUN ajst-21787 13 12 and and CCONJ ajst-21787 13 13 proposed propose VERB ajst-21787 13 14 the the DET ajst-21787 13 15 black black ADJ ajst-21787 13 16 and and CCONJ ajst-21787 13 17 odorous odorous ADJ ajst-21787 13 18 water water NOUN ajst-21787 13 19 index index NOUN ajst-21787 13 20 ( ( PUNCT ajst-21787 13 21 boi boi NOUN ajst-21787 13 22 ) ) PUNCT ajst-21787 13 23 model[3 model[3 PROPN ajst-21787 13 24 ] ] PUNCT ajst-21787 13 25 . . PUNCT ajst-21787 14 1 combined combine VERB ajst-21787 14 2 with with ADP ajst-21787 14 3 the the DET ajst-21787 14 4 color color NOUN ajst-21787 14 5 of of ADP ajst-21787 14 6 the the DET ajst-21787 14 7 water water NOUN ajst-21787 14 8 body body NOUN ajst-21787 14 9 and and CCONJ ajst-21787 14 10 the the DET ajst-21787 14 11 black black ADJ ajst-21787 14 12 and and CCONJ ajst-21787 14 13 odor odor NOUN ajst-21787 14 14 condition condition NOUN ajst-21787 14 15 , , PUNCT ajst-21787 14 16 the the DET ajst-21787 14 17 model model NOUN ajst-21787 14 18 can can AUX ajst-21787 14 19 realize realize VERB ajst-21787 14 20 the the DET ajst-21787 14 21 rapid rapid ADJ ajst-21787 14 22 identification identification NOUN ajst-21787 14 23 of of ADP ajst-21787 14 24 the the DET ajst-21787 14 25 black black ADJ ajst-21787 14 26 and and CCONJ ajst-21787 14 27 odor odor NOUN ajst-21787 14 28 water water NOUN ajst-21787 14 29 body body NOUN ajst-21787 14 30 based base VERB ajst-21787 14 31 on on ADP ajst-21787 14 32 the the DET ajst-21787 14 33 remote remote ADJ ajst-21787 14 34 sensing sense VERB ajst-21787 14 35 image image NOUN ajst-21787 14 36 . . PUNCT ajst-21787 15 1 to to PART ajst-21787 15 2 evaluate evaluate VERB ajst-21787 15 3 the the DET ajst-21787 15 4 normal normal ADJ ajst-21787 15 5 index index NOUN ajst-21787 15 6 of of ADP ajst-21787 15 7 water water NOUN ajst-21787 15 8 bodies body NOUN ajst-21787 15 9 , , PUNCT ajst-21787 15 10 li li PROPN ajst-21787 15 11 et et PROPN ajst-21787 15 12 al al PROPN ajst-21787 15 13 developed develop VERB ajst-21787 15 14 wci wci PROPN ajst-21787 15 15 ( ( PUNCT ajst-21787 15 16 water water NOUN ajst-21787 15 17 cleanliness cleanliness PROPN ajst-21787 15 18 index index PROPN ajst-21787 15 19 ) ) PUNCT ajst-21787 15 20 index index NOUN ajst-21787 15 21 , , PUNCT ajst-21787 15 22 which which PRON ajst-21787 15 23 is be AUX ajst-21787 15 24 widely widely ADV ajst-21787 15 25 used use VERB ajst-21787 15 26 in in ADP ajst-21787 15 27 water water NOUN ajst-21787 15 28 quality quality NOUN ajst-21787 15 29 monitoring[4 monitoring[4 PROPN ajst-21787 15 30 ] ] PUNCT ajst-21787 15 31 . . PUNCT ajst-21787 16 1 based base VERB ajst-21787 16 2 on on ADP ajst-21787 16 3 the the DET ajst-21787 16 4 boi boi PROPN ajst-21787 16 5 model model NOUN ajst-21787 16 6 , , PUNCT ajst-21787 16 7 zhang zhang PROPN ajst-21787 16 8 et et PROPN ajst-21787 16 9 al al PROPN ajst-21787 16 10 . . PROPN ajst-21787 16 11 proposed propose VERB ajst-21787 16 12 a a DET ajst-21787 16 13 series series NOUN ajst-21787 16 14 of of ADP ajst-21787 16 15 hci hci NOUN ajst-21787 16 16 models model NOUN ajst-21787 16 17 , , PUNCT ajst-21787 16 18 including include VERB ajst-21787 16 19 hci1 hci1 PROPN ajst-21787 16 20 and and CCONJ ajst-21787 16 21 hci2 hci2 PROPN ajst-21787 16 22 models model NOUN ajst-21787 16 23 , , PUNCT ajst-21787 16 24 which which PRON ajst-21787 16 25 further far ADV ajst-21787 16 26 improved improve VERB ajst-21787 16 27 the the DET ajst-21787 16 28 accuracy accuracy NOUN ajst-21787 16 29 of of ADP ajst-21787 16 30 remote remote ADJ ajst-21787 16 31 sensing sense VERB ajst-21787 16 32 recognition recognition NOUN ajst-21787 16 33 methods method NOUN ajst-21787 16 34 in in ADP ajst-21787 16 35 the the DET ajst-21787 16 36 study study NOUN ajst-21787 16 37 area[5 area[5 PROPN ajst-21787 16 38 ] ] PUNCT ajst-21787 16 39 . . PUNCT ajst-21787 17 1 yao yao PROPN ajst-21787 17 2 et et PROPN ajst-21787 17 3 al al PROPN ajst-21787 17 4 . . PROPN ajst-21787 17 5 developed develop VERB ajst-21787 17 6 the the DET ajst-21787 17 7 hi hi PROPN ajst-21787 17 8 model model NOUN ajst-21787 17 9 and and CCONJ ajst-21787 17 10 proposed propose VERB ajst-21787 17 11 the the DET ajst-21787 17 12 standardized standardized ADJ ajst-21787 17 13 black black ADJ ajst-21787 17 14 and and CCONJ ajst-21787 17 15 odorous odorous ADJ ajst-21787 17 16 water water NOUN ajst-21787 17 17 body body NOUN ajst-21787 17 18 index index NOUN ajst-21787 17 19 ndbwi[6 ndbwi[6 PROPN ajst-21787 17 20 ] ] PUNCT ajst-21787 17 21 . . PUNCT ajst-21787 18 1 qi qi PROPN ajst-21787 18 2 et et PROPN ajst-21787 18 3 al al PROPN ajst-21787 18 4 improved improve VERB ajst-21787 18 5 boci[7 boci[7 ADV ajst-21787 18 6 ] ] PUNCT ajst-21787 18 7 on on ADP ajst-21787 18 8 the the DET ajst-21787 18 9 boi boi PROPN ajst-21787 18 10 model model NOUN ajst-21787 18 11 , , PUNCT ajst-21787 18 12 which which PRON ajst-21787 18 13 innovatively innovatively ADV ajst-21787 18 14 proposed propose VERB ajst-21787 18 15 the the DET ajst-21787 18 16 concept concept NOUN ajst-21787 18 17 of of ADP ajst-21787 18 18 classifying classify VERB ajst-21787 18 19 black black ADJ ajst-21787 18 20 and and CCONJ ajst-21787 18 21 odorous odorous ADJ ajst-21787 18 22 water water NOUN ajst-21787 18 23 bodies body NOUN ajst-21787 18 24 by by ADP ajst-21787 18 25 remote remote ADJ ajst-21787 18 26 sensing sensing NOUN ajst-21787 18 27 for for ADP ajst-21787 18 28 the the DET ajst-21787 18 29 first first ADJ ajst-21787 18 30 time time NOUN ajst-21787 18 31 . . PUNCT ajst-21787 19 1 meanwhile meanwhile ADV ajst-21787 19 2 , , PUNCT ajst-21787 19 3 many many ADJ ajst-21787 19 4 scholars scholar NOUN ajst-21787 19 5 only only ADV ajst-21787 19 6 stayed stay VERB ajst-21787 19 7 at at ADP ajst-21787 19 8 the the DET ajst-21787 19 9 level level NOUN ajst-21787 19 10 of of ADP ajst-21787 19 11 water water NOUN ajst-21787 19 12 body body NOUN ajst-21787 19 13 identification identification NOUN ajst-21787 19 14 , , PUNCT ajst-21787 19 15 and and CCONJ ajst-21787 19 16 it it PRON ajst-21787 19 17 was be AUX ajst-21787 19 18 challenging challenge VERB ajst-21787 19 19 to to PART ajst-21787 19 20 propose propose VERB ajst-21787 19 21 this this DET ajst-21787 19 22 method method NOUN ajst-21787 19 23 , , PUNCT ajst-21787 19 24 which which PRON ajst-21787 19 25 was be AUX ajst-21787 19 26 of of ADP ajst-21787 19 27 great great ADJ ajst-21787 19 28 significance significance NOUN ajst-21787 19 29 for for ADP ajst-21787 19 30 water water NOUN ajst-21787 19 31 quality quality NOUN ajst-21787 19 32 monitoring monitoring NOUN ajst-21787 19 33 . . PUNCT ajst-21787 20 1 taking take VERB ajst-21787 20 2 guangzhou guangzhou PROPN ajst-21787 20 3 as as ADP ajst-21787 20 4 an an DET ajst-21787 20 5 example example NOUN ajst-21787 20 6 , , PUNCT ajst-21787 20 7 gao gao PROPN ajst-21787 20 8 et et PROPN ajst-21787 20 9 al al PROPN ajst-21787 20 10 . . PROPN ajst-21787 21 1 used use VERB ajst-21787 21 2 boi boi NOUN ajst-21787 21 3 model model NOUN ajst-21787 21 4 combined combine VERB ajst-21787 21 5 with with ADP ajst-21787 21 6 remote remote ADJ ajst-21787 21 7 sensing sense VERB ajst-21787 21 8 visual visual ADJ ajst-21787 21 9 interpretation interpretation NOUN ajst-21787 21 10 method method NOUN ajst-21787 21 11 to to PART ajst-21787 21 12 classify classify VERB ajst-21787 21 13 black black ADJ ajst-21787 21 14 and and CCONJ ajst-21787 21 15 odorous odorous ADJ ajst-21787 21 16 water water NOUN ajst-21787 21 17 bodies[8 bodies[8 PROPN ajst-21787 21 18 ] ] PUNCT ajst-21787 21 19 . . PUNCT ajst-21787 22 1 han han PROPN ajst-21787 22 2 et et PROPN ajst-21787 22 3 al al PROPN ajst-21787 22 4 . . PROPN ajst-21787 22 5 adopted adopt VERB ajst-21787 22 6 the the DET ajst-21787 22 7 ndbwi ndbwi ADJ ajst-21787 22 8 model model NOUN ajst-21787 22 9 to to PART ajst-21787 22 10 realize realize VERB ajst-21787 22 11 the the DET ajst-21787 22 12 identification identification NOUN ajst-21787 22 13 of of ADP ajst-21787 22 14 black black ADJ ajst-21787 22 15 and and CCONJ ajst-21787 22 16 odorous odorous ADJ ajst-21787 22 17 water water NOUN ajst-21787 22 18 bodies body NOUN ajst-21787 22 19 through through ADP ajst-21787 22 20 remote remote ADJ ajst-21787 22 21 sensing[9 sensing[9 PROPN ajst-21787 22 22 ] ] PUNCT ajst-21787 22 23 . . PUNCT ajst-21787 23 1 in in ADP ajst-21787 23 2 this this DET ajst-21787 23 3 paper paper NOUN ajst-21787 23 4 , , PUNCT ajst-21787 23 5 multiple multiple ADJ ajst-21787 23 6 spectral spectral ADJ ajst-21787 23 7 characteristics characteristic NOUN ajst-21787 23 8 of of ADP ajst-21787 23 9 black black ADJ ajst-21787 23 10 and and CCONJ ajst-21787 23 11 odorous odorous ADJ ajst-21787 23 12 water water NOUN ajst-21787 23 13 bodies body NOUN ajst-21787 23 14 are be AUX ajst-21787 23 15 obtained obtain VERB ajst-21787 23 16 by by ADP ajst-21787 23 17 the the DET ajst-21787 23 18 feature feature NOUN ajst-21787 23 19 band band NOUN ajst-21787 23 20 method method NOUN ajst-21787 23 21 , , PUNCT ajst-21787 23 22 and and CCONJ ajst-21787 23 23 the the DET ajst-21787 23 24 black black ADJ ajst-21787 23 25 and and CCONJ ajst-21787 23 26 odorous odorous ADJ ajst-21787 23 27 water water NOUN ajst-21787 23 28 bodies body NOUN ajst-21787 23 29 are be AUX ajst-21787 23 30 identified identify VERB ajst-21787 23 31 by by ADP ajst-21787 23 32 the the DET ajst-21787 23 33 fuzzy fuzzy ADJ ajst-21787 23 34 theory theory NOUN ajst-21787 23 35 . . PUNCT ajst-21787 24 1 the the DET ajst-21787 24 2 performance performance NOUN ajst-21787 24 3 of of ADP ajst-21787 24 4 the the DET ajst-21787 24 5 model model NOUN ajst-21787 24 6 is be AUX ajst-21787 24 7 optimized optimize VERB ajst-21787 24 8 and and CCONJ ajst-21787 24 9 the the DET ajst-21787 24 10 accuracy accuracy NOUN ajst-21787 24 11 of of ADP ajst-21787 24 12 the the DET ajst-21787 24 13 model model NOUN ajst-21787 24 14 is be AUX ajst-21787 24 15 improved improve VERB ajst-21787 24 16 by by ADP ajst-21787 24 17 adjusting adjust VERB ajst-21787 24 18 the the DET ajst-21787 24 19 model model NOUN ajst-21787 24 20 parameters parameter NOUN ajst-21787 24 21 and and CCONJ ajst-21787 24 22 changing change VERB ajst-21787 24 23 the the DET ajst-21787 24 24 feature feature NOUN ajst-21787 24 25 selection selection NOUN ajst-21787 24 26 strategy strategy NOUN ajst-21787 24 27 . . PUNCT ajst-21787 25 1 2 2 X ajst-21787 25 2 . . X ajst-21787 25 3 study study NOUN ajst-21787 25 4 site site NOUN ajst-21787 25 5 and and CCONJ ajst-21787 25 6 data datum NOUN ajst-21787 25 7 2.1 2.1 NUM ajst-21787 25 8 . . PUNCT ajst-21787 26 1 study study NOUN ajst-21787 26 2 area area NOUN ajst-21787 26 3 and and CCONJ ajst-21787 26 4 sampling sample VERB ajst-21787 26 5 point point NOUN ajst-21787 26 6 distribution distribution NOUN ajst-21787 26 7 in in ADP ajst-21787 26 8 this this DET ajst-21787 26 9 study study NOUN ajst-21787 26 10 , , PUNCT ajst-21787 26 11 nanning nanning PROPN ajst-21787 26 12 city city PROPN ajst-21787 26 13 of of ADP ajst-21787 26 14 guangxi guangxi PROPN ajst-21787 26 15 province province PROPN ajst-21787 26 16 is be AUX ajst-21787 26 17 selected select VERB ajst-21787 26 18 as as ADP ajst-21787 26 19 the the DET ajst-21787 26 20 research research NOUN ajst-21787 26 21 area area NOUN ajst-21787 26 22 , , PUNCT ajst-21787 26 23 which which PRON ajst-21787 26 24 is be AUX ajst-21787 26 25 located locate VERB ajst-21787 26 26 in in ADP ajst-21787 26 27 the the DET ajst-21787 26 28 southern southern ADJ ajst-21787 26 29 part part NOUN ajst-21787 26 30 of of ADP ajst-21787 26 31 the the DET ajst-21787 26 32 tropic tropic NOUN ajst-21787 26 33 of of ADP ajst-21787 26 34 cancer cancer NOUN ajst-21787 26 35 and and CCONJ ajst-21787 26 36 the the DET ajst-21787 26 37 central central ADJ ajst-21787 26 38 part part NOUN ajst-21787 26 39 of of ADP ajst-21787 26 40 guangxi guangxi PROPN ajst-21787 26 41 . . PUNCT ajst-21787 27 1 nanning nanning PROPN ajst-21787 27 2 is be AUX ajst-21787 27 3 a a DET ajst-21787 27 4 typical typical ADJ ajst-21787 27 5 subtropical subtropical ADJ ajst-21787 27 6 monsoon monsoon NOUN ajst-21787 27 7 climate climate NOUN ajst-21787 27 8 with with ADP ajst-21787 27 9 an an DET ajst-21787 27 10 average average ADJ ajst-21787 27 11 altitude altitude NOUN ajst-21787 27 12 of of ADP ajst-21787 27 13 76.5 76.5 NUM ajst-21787 27 14 meters meter NOUN ajst-21787 27 15 , , PUNCT ajst-21787 27 16 an an DET ajst-21787 27 17 average average ADJ ajst-21787 27 18 annual annual ADJ ajst-21787 27 19 temperature temperature NOUN ajst-21787 27 20 of of ADP ajst-21787 27 21 21.8 21.8 NUM ajst-21787 27 22 ℃ ℃ PROPN ajst-21787 27 23 and and CCONJ ajst-21787 27 24 an an DET ajst-21787 27 25 average average ADJ ajst-21787 27 26 annual annual ADJ ajst-21787 27 27 rainfall rainfall NOUN ajst-21787 27 28 of of ADP ajst-21787 27 29 1,286 1,286 NUM ajst-21787 27 30 mm mm NOUN ajst-21787 27 31 . . PUNCT ajst-21787 28 1 it it PRON ajst-21787 28 2 is be AUX ajst-21787 28 3 characterized characterize VERB ajst-21787 28 4 by by ADP ajst-21787 28 5 abundant abundant ADJ ajst-21787 28 6 precipitation precipitation NOUN ajst-21787 28 7 , , PUNCT ajst-21787 28 8 long long ADJ ajst-21787 28 9 summer summer NOUN ajst-21787 28 10 and and CCONJ ajst-21787 28 11 short short ADJ ajst-21787 28 12 winter[10 winter[10 NOUN ajst-21787 28 13 ] ] PUNCT ajst-21787 28 14 . . PUNCT ajst-21787 29 1 186 186 NUM ajst-21787 29 2 figure figure NOUN ajst-21787 29 3 1 1 NUM ajst-21787 29 4 . . PUNCT ajst-21787 29 5 distribution distribution NOUN ajst-21787 29 6 of of ADP ajst-21787 29 7 water water NOUN ajst-21787 29 8 samples sample NOUN ajst-21787 29 9 in in ADP ajst-21787 29 10 nanning nanne VERB ajst-21787 29 11 in in ADP ajst-21787 29 12 2018 2018 NUM ajst-21787 29 13 2.2 2.2 NUM ajst-21787 29 14 . . PUNCT ajst-21787 30 1 water water NOUN ajst-21787 30 2 quality quality NOUN ajst-21787 30 3 information information NOUN ajst-21787 30 4 collection collection NOUN ajst-21787 30 5 the the DET ajst-21787 30 6 water water NOUN ajst-21787 30 7 quality quality NOUN ajst-21787 30 8 data datum NOUN ajst-21787 30 9 used use VERB ajst-21787 30 10 in in ADP ajst-21787 30 11 this this DET ajst-21787 30 12 paper paper NOUN ajst-21787 30 13 are be AUX ajst-21787 30 14 from from ADP ajst-21787 30 15 the the DET ajst-21787 30 16 water water NOUN ajst-21787 30 17 quality quality NOUN ajst-21787 30 18 monitoring monitoring NOUN ajst-21787 30 19 website website NOUN ajst-21787 30 20 and and CCONJ ajst-21787 30 21 the the DET ajst-21787 30 22 official official ADJ ajst-21787 30 23 list list NOUN ajst-21787 30 24 released release VERB ajst-21787 30 25 by by ADP ajst-21787 30 26 the the DET ajst-21787 30 27 nanning nanning PROPN ajst-21787 30 28 municipal municipal ADJ ajst-21787 30 29 government government NOUN ajst-21787 30 30 . . PUNCT ajst-21787 31 1 after after ADP ajst-21787 31 2 strict strict ADJ ajst-21787 31 3 screening screening NOUN ajst-21787 31 4 , , PUNCT ajst-21787 31 5 62 62 NUM ajst-21787 31 6 water water NOUN ajst-21787 31 7 samples sample NOUN ajst-21787 31 8 were be AUX ajst-21787 31 9 selected select VERB ajst-21787 31 10 for for ADP ajst-21787 31 11 in in ADP ajst-21787 31 12 - - PUNCT ajst-21787 31 13 depth depth NOUN ajst-21787 31 14 analysis analysis NOUN ajst-21787 31 15 in in ADP ajst-21787 31 16 this this DET ajst-21787 31 17 study study NOUN ajst-21787 31 18 . . PUNCT ajst-21787 32 1 according accord VERB ajst-21787 32 2 to to ADP ajst-21787 32 3 the the DET ajst-21787 32 4 urban urban ADJ ajst-21787 32 5 standard standard NOUN ajst-21787 32 6 for for ADP ajst-21787 32 7 classifying classify VERB ajst-21787 32 8 black black ADJ ajst-21787 32 9 and and CCONJ ajst-21787 32 10 odorous odorous ADJ ajst-21787 32 11 water water NOUN ajst-21787 32 12 bodies body NOUN ajst-21787 32 13 , , PUNCT ajst-21787 32 14 26 26 NUM ajst-21787 32 15 of of ADP ajst-21787 32 16 these these DET ajst-21787 32 17 samples sample NOUN ajst-21787 32 18 were be AUX ajst-21787 32 19 judged judge VERB ajst-21787 32 20 to to PART ajst-21787 32 21 be be AUX ajst-21787 32 22 normal normal ADJ ajst-21787 32 23 water water NOUN ajst-21787 32 24 bodies body NOUN ajst-21787 32 25 , , PUNCT ajst-21787 32 26 and and CCONJ ajst-21787 32 27 the the DET ajst-21787 32 28 remaining remain VERB ajst-21787 32 29 36 36 NUM ajst-21787 32 30 were be AUX ajst-21787 32 31 judged judge VERB ajst-21787 32 32 to to PART ajst-21787 32 33 be be AUX ajst-21787 32 34 black black ADJ ajst-21787 32 35 and and CCONJ ajst-21787 32 36 odorous odorous ADJ ajst-21787 32 37 water water NOUN ajst-21787 32 38 bodies body NOUN ajst-21787 32 39 . . PUNCT ajst-21787 33 1 2.3 2.3 NUM ajst-21787 33 2 . . PUNCT ajst-21787 34 1 image image NOUN ajst-21787 34 2 and and CCONJ ajst-21787 34 3 preprocessing preprocesse VERB ajst-21787 34 4 sentinel-2 sentinel-2 NUM ajst-21787 34 5 image image NOUN ajst-21787 34 6 has have VERB ajst-21787 34 7 the the DET ajst-21787 34 8 characteristics characteristic NOUN ajst-21787 34 9 of of ADP ajst-21787 34 10 high high ADJ ajst-21787 34 11 time time NOUN ajst-21787 34 12 resolution resolution NOUN ajst-21787 34 13 and and CCONJ ajst-21787 34 14 high high ADJ ajst-21787 34 15 imaging imaging NOUN ajst-21787 34 16 resolution resolution NOUN ajst-21787 34 17 , , PUNCT ajst-21787 34 18 and and CCONJ ajst-21787 34 19 sentinel-2 sentinel-2 ADJ ajst-21787 34 20 satellite satellite NOUN ajst-21787 34 21 imager imager NOUN ajst-21787 34 22 has have VERB ajst-21787 34 23 the the DET ajst-21787 34 24 ability ability NOUN ajst-21787 34 25 to to PART ajst-21787 34 26 obtain obtain VERB ajst-21787 34 27 vegetation vegetation NOUN ajst-21787 34 28 , , PUNCT ajst-21787 34 29 soil soil NOUN ajst-21787 34 30 and and CCONJ ajst-21787 34 31 hydrological hydrological ADJ ajst-21787 34 32 information information NOUN ajst-21787 34 33 . . PUNCT ajst-21787 35 1 the the DET ajst-21787 35 2 sentinel-2 sentinel-2 ADJ ajst-21787 35 3 satellite satellite NOUN ajst-21787 35 4 system system NOUN ajst-21787 35 5 consists consist VERB ajst-21787 35 6 of of ADP ajst-21787 35 7 two two NUM ajst-21787 35 8 satellites satellite NOUN ajst-21787 35 9 , , PUNCT ajst-21787 35 10 sentinel-2a sentinel-2a ADJ ajst-21787 35 11 and and CCONJ ajst-21787 35 12 sentinel-2b[11 sentinel-2b[11 ADV ajst-21787 35 13 ] ] PUNCT ajst-21787 35 14 . . PUNCT ajst-21787 36 1 ( ( PUNCT ajst-21787 36 2 a a X ajst-21787 36 3 ) ) PUNCT ajst-21787 36 4 ( ( PUNCT ajst-21787 36 5 b b X ajst-21787 36 6 ) ) PUNCT ajst-21787 36 7 ( ( PUNCT ajst-21787 36 8 c c X ajst-21787 36 9 ) ) PUNCT ajst-21787 36 10 figure figure NOUN ajst-21787 36 11 2 2 NUM ajst-21787 36 12 . . PUNCT ajst-21787 36 13 spectral spectral ADJ ajst-21787 36 14 curves curve NOUN ajst-21787 36 15 of of ADP ajst-21787 36 16 black black ADJ ajst-21787 36 17 and and CCONJ ajst-21787 36 18 odorous odorous ADJ ajst-21787 36 19 water water NOUN ajst-21787 36 20 bodies body NOUN ajst-21787 36 21 in in ADP ajst-21787 36 22 typical typical ADJ ajst-21787 36 23 cities city NOUN ajst-21787 36 24 ( ( PUNCT ajst-21787 36 25 a a X ajst-21787 36 26 ) ) PUNCT ajst-21787 36 27 , , PUNCT ajst-21787 36 28 spectral spectral ADJ ajst-21787 36 29 curves curve NOUN ajst-21787 36 30 of of ADP ajst-21787 36 31 normal normal ADJ ajst-21787 36 32 water water NOUN ajst-21787 36 33 ( ( PUNCT ajst-21787 36 34 b b NOUN ajst-21787 36 35 ) ) PUNCT ajst-21787 36 36 , , PUNCT ajst-21787 36 37 comparison comparison NOUN ajst-21787 36 38 of of ADP ajst-21787 36 39 spectral spectral ADJ ajst-21787 36 40 curves curve NOUN ajst-21787 36 41 between between ADP ajst-21787 36 42 normal normal ADJ ajst-21787 36 43 water water NOUN ajst-21787 36 44 and and CCONJ ajst-21787 36 45 black black ADJ ajst-21787 36 46 and and CCONJ ajst-21787 36 47 odorous odorous ADJ ajst-21787 36 48 water water NOUN ajst-21787 36 49 ( ( PUNCT ajst-21787 36 50 c c NOUN ajst-21787 36 51 ) ) PUNCT ajst-21787 36 52 187 187 NUM ajst-21787 36 53 the the DET ajst-21787 36 54 satellite satellite NOUN ajst-21787 36 55 images image NOUN ajst-21787 36 56 of of ADP ajst-21787 36 57 the the DET ajst-21787 36 58 main main ADJ ajst-21787 36 59 urban urban ADJ ajst-21787 36 60 area area NOUN ajst-21787 36 61 of of ADP ajst-21787 36 62 nanning nanning PROPN ajst-21787 36 63 and and CCONJ ajst-21787 36 64 its its PRON ajst-21787 36 65 surrounding surround VERB ajst-21787 36 66 areas area NOUN ajst-21787 36 67 from from ADP ajst-21787 36 68 july july PROPN ajst-21787 36 69 to to ADP ajst-21787 36 70 october october PROPN ajst-21787 36 71 2018 2018 NUM ajst-21787 36 72 were be AUX ajst-21787 36 73 obtained obtain VERB ajst-21787 36 74 by by ADP ajst-21787 36 75 esa esa PROPN ajst-21787 36 76 sentinel-2 sentinel-2 ADJ ajst-21787 36 77 data datum NOUN ajst-21787 36 78 download download NOUN ajst-21787 36 79 service service PROPN ajst-21787 36 80 , , PUNCT ajst-21787 36 81 with with ADP ajst-21787 36 82 the the DET ajst-21787 36 83 data data NOUN ajst-21787 36 84 level level NOUN ajst-21787 36 85 of of ADP ajst-21787 36 86 level-1c level-1c PUNCT ajst-21787 36 87 product product NOUN ajst-21787 36 88 . . PUNCT ajst-21787 37 1 the the DET ajst-21787 37 2 images image NOUN ajst-21787 37 3 used use VERB ajst-21787 37 4 in in ADP ajst-21787 37 5 this this DET ajst-21787 37 6 study study NOUN ajst-21787 37 7 cover cover VERB ajst-21787 37 8 the the DET ajst-21787 37 9 main main ADJ ajst-21787 37 10 urban urban ADJ ajst-21787 37 11 area area NOUN ajst-21787 37 12 of of ADP ajst-21787 37 13 nanning nanning NOUN ajst-21787 37 14 , , PUNCT ajst-21787 37 15 and and CCONJ ajst-21787 37 16 the the DET ajst-21787 37 17 weather weather NOUN ajst-21787 37 18 conditions condition NOUN ajst-21787 37 19 in in ADP ajst-21787 37 20 the the DET ajst-21787 37 21 images image NOUN ajst-21787 37 22 are be AUX ajst-21787 37 23 sunny sunny ADJ ajst-21787 37 24 and and CCONJ ajst-21787 37 25 the the DET ajst-21787 37 26 cloud cloud NOUN ajst-21787 37 27 cover cover NOUN ajst-21787 37 28 meets meet VERB ajst-21787 37 29 the the DET ajst-21787 37 30 requirements requirement NOUN ajst-21787 37 31 . . PUNCT ajst-21787 38 1 images image NOUN ajst-21787 38 2 can can AUX ajst-21787 38 3 be be AUX ajst-21787 38 4 used use VERB ajst-21787 38 5 to to PART ajst-21787 38 6 identify identify VERB ajst-21787 38 7 the the DET ajst-21787 38 8 features feature NOUN ajst-21787 38 9 of of ADP ajst-21787 38 10 the the DET ajst-21787 38 11 study study NOUN ajst-21787 38 12 area area NOUN ajst-21787 38 13 . . PUNCT ajst-21787 39 1 the the DET ajst-21787 39 2 main main ADJ ajst-21787 39 3 land land NOUN ajst-21787 39 4 types type NOUN ajst-21787 39 5 in in ADP ajst-21787 39 6 the the DET ajst-21787 39 7 main main ADJ ajst-21787 39 8 urban urban ADJ ajst-21787 39 9 area area NOUN ajst-21787 39 10 of of ADP ajst-21787 39 11 nanning nanning PROPN ajst-21787 39 12 city city PROPN ajst-21787 39 13 include include VERB ajst-21787 39 14 roads road NOUN ajst-21787 39 15 , , PUNCT ajst-21787 39 16 woodlands woodland NOUN ajst-21787 39 17 , , PUNCT ajst-21787 39 18 towns town NOUN ajst-21787 39 19 , , PUNCT ajst-21787 39 20 agricultural agricultural ADJ ajst-21787 39 21 land land NOUN ajst-21787 39 22 , , PUNCT ajst-21787 39 23 water water NOUN ajst-21787 39 24 and and CCONJ ajst-21787 39 25 woodlands woodland NOUN ajst-21787 39 26 . . PUNCT ajst-21787 40 1 the the DET ajst-21787 40 2 topography topography NOUN ajst-21787 40 3 of of ADP ajst-21787 40 4 the the DET ajst-21787 40 5 image image NOUN ajst-21787 40 6 shows show VERB ajst-21787 40 7 the the DET ajst-21787 40 8 features feature NOUN ajst-21787 40 9 of of ADP ajst-21787 40 10 higher high ADJ ajst-21787 40 11 terrain terrain NOUN ajst-21787 40 12 in in ADP ajst-21787 40 13 the the DET ajst-21787 40 14 northern northern ADJ ajst-21787 40 15 region region NOUN ajst-21787 40 16 and and CCONJ ajst-21787 40 17 gentle gentle ADJ ajst-21787 40 18 terrain terrain NOUN ajst-21787 40 19 in in ADP ajst-21787 40 20 the the DET ajst-21787 40 21 central central ADJ ajst-21787 40 22 and and CCONJ ajst-21787 40 23 southern southern ADJ ajst-21787 40 24 regions region NOUN ajst-21787 40 25 . . PUNCT ajst-21787 41 1 3 3 X ajst-21787 41 2 . . X ajst-21787 41 3 construction construction NOUN ajst-21787 41 4 of of ADP ajst-21787 41 5 black black ADJ ajst-21787 41 6 and and CCONJ ajst-21787 41 7 odorous odorous ADJ ajst-21787 41 8 water water NOUN ajst-21787 41 9 body body NOUN ajst-21787 41 10 recognition recognition NOUN ajst-21787 41 11 model model NOUN ajst-21787 41 12 by by ADP ajst-21787 41 13 remote remote ADJ ajst-21787 41 14 sensing sense VERB ajst-21787 41 15 3.1 3.1 NUM ajst-21787 41 16 . . PUNCT ajst-21787 42 1 optical optical ADJ ajst-21787 42 2 characteristics characteristic NOUN ajst-21787 42 3 analysis analysis NOUN ajst-21787 42 4 of of ADP ajst-21787 42 5 remote remote ADJ ajst-21787 42 6 sensing sense VERB ajst-21787 42 7 reflectance reflectance NOUN ajst-21787 42 8 of of ADP ajst-21787 42 9 urban urban ADJ ajst-21787 42 10 black black ADJ ajst-21787 42 11 and and CCONJ ajst-21787 42 12 odorous odorous ADJ ajst-21787 42 13 water water NOUN ajst-21787 42 14 bodies body NOUN ajst-21787 42 15 by by ADP ajst-21787 42 16 comparing compare VERB ajst-21787 42 17 the the DET ajst-21787 42 18 spectral spectral ADJ ajst-21787 42 19 information information NOUN ajst-21787 42 20 of of ADP ajst-21787 42 21 normal normal ADJ ajst-21787 42 22 water water NOUN ajst-21787 42 23 bodies body NOUN ajst-21787 42 24 in in ADP ajst-21787 42 25 nanning nanning PROPN ajst-21787 42 26 city city PROPN ajst-21787 42 27 , , PUNCT ajst-21787 42 28 the the DET ajst-21787 42 29 unique unique ADJ ajst-21787 42 30 spectral spectral ADJ ajst-21787 42 31 characteristics characteristic NOUN ajst-21787 42 32 of of ADP ajst-21787 42 33 black black ADJ ajst-21787 42 34 and and CCONJ ajst-21787 42 35 odorous odorous ADJ ajst-21787 42 36 water water NOUN ajst-21787 42 37 bodies body NOUN ajst-21787 42 38 are be AUX ajst-21787 42 39 highlighted highlight VERB ajst-21787 42 40 . . PUNCT ajst-21787 43 1 in in ADP ajst-21787 43 2 this this DET ajst-21787 43 3 process process NOUN ajst-21787 43 4 , , PUNCT ajst-21787 43 5 the the DET ajst-21787 43 6 data datum NOUN ajst-21787 43 7 of of ADP ajst-21787 43 8 non non ADJ ajst-21787 43 9 - - ADJ ajst-21787 43 10 black black ADJ ajst-21787 43 11 and and CCONJ ajst-21787 43 12 odorous odorous ADJ ajst-21787 43 13 water water NOUN ajst-21787 43 14 bodies body NOUN ajst-21787 43 15 are be AUX ajst-21787 43 16 taken take VERB ajst-21787 43 17 from from ADP ajst-21787 43 18 water water NOUN ajst-21787 43 19 samples sample NOUN ajst-21787 43 20 with with ADP ajst-21787 43 21 normal normal ADJ ajst-21787 43 22 water water NOUN ajst-21787 43 23 quality quality NOUN ajst-21787 43 24 in in ADP ajst-21787 43 25 urban urban ADJ ajst-21787 43 26 river river NOUN ajst-21787 43 27 channels channel NOUN ajst-21787 43 28 , , PUNCT ajst-21787 43 29 while while SCONJ ajst-21787 43 30 the the DET ajst-21787 43 31 data datum NOUN ajst-21787 43 32 of of ADP ajst-21787 43 33 black black ADJ ajst-21787 43 34 and and CCONJ ajst-21787 43 35 odorous odorous ADJ ajst-21787 43 36 water water NOUN ajst-21787 43 37 bodies body NOUN ajst-21787 43 38 are be AUX ajst-21787 43 39 from from ADP ajst-21787 43 40 water water NOUN ajst-21787 43 41 samples sample NOUN ajst-21787 43 42 with with ADP ajst-21787 43 43 substandard substandard ADJ ajst-21787 43 44 water water NOUN ajst-21787 43 45 quality quality NOUN ajst-21787 43 46 in in ADP ajst-21787 43 47 urban urban ADJ ajst-21787 43 48 river river NOUN ajst-21787 43 49 channels channel NOUN ajst-21787 43 50 . . PUNCT ajst-21787 44 1 as as SCONJ ajst-21787 44 2 shown show VERB ajst-21787 44 3 in in ADP ajst-21787 44 4 figure figure NOUN ajst-21787 44 5 2 2 NUM ajst-21787 44 6 , , PUNCT ajst-21787 44 7 the the DET ajst-21787 44 8 black black ADJ ajst-21787 44 9 and and CCONJ ajst-21787 44 10 odorous odorous ADJ ajst-21787 44 11 water water NOUN ajst-21787 44 12 bodies body NOUN ajst-21787 44 13 show show VERB ajst-21787 44 14 significant significant ADJ ajst-21787 44 15 differences difference NOUN ajst-21787 44 16 from from ADP ajst-21787 44 17 normal normal ADJ ajst-21787 44 18 water water NOUN ajst-21787 44 19 bodies body NOUN ajst-21787 44 20 . . PUNCT ajst-21787 45 1 as as SCONJ ajst-21787 45 2 shown show VERB ajst-21787 45 3 in in ADP ajst-21787 45 4 figure figure NOUN ajst-21787 45 5 2 2 NUM ajst-21787 45 6 ( ( PUNCT ajst-21787 45 7 a a NOUN ajst-21787 45 8 ) ) PUNCT ajst-21787 45 9 , , PUNCT ajst-21787 45 10 this this DET ajst-21787 45 11 study study NOUN ajst-21787 45 12 found find VERB ajst-21787 45 13 that that SCONJ ajst-21787 45 14 the the DET ajst-21787 45 15 remote remote ADJ ajst-21787 45 16 sensing sense VERB ajst-21787 45 17 reflectance reflectance NOUN ajst-21787 45 18 value value NOUN ajst-21787 45 19 of of ADP ajst-21787 45 20 urban urban ADJ ajst-21787 45 21 black black ADJ ajst-21787 45 22 and and CCONJ ajst-21787 45 23 odorous odorous ADJ ajst-21787 45 24 water water NOUN ajst-21787 45 25 bodies body NOUN ajst-21787 45 26 in in ADP ajst-21787 45 27 the the DET ajst-21787 45 28 visible visible ADJ ajst-21787 45 29 range range NOUN ajst-21787 45 30 was be AUX ajst-21787 45 31 generally generally ADV ajst-21787 45 32 lower low ADJ ajst-21787 45 33 than than ADP ajst-21787 45 34 0.025sr1 0.025sr1 NUM ajst-21787 45 35 , , PUNCT ajst-21787 45 36 and and CCONJ ajst-21787 45 37 the the DET ajst-21787 45 38 average average ADJ ajst-21787 45 39 value value NOUN ajst-21787 45 40 reached reach VERB ajst-21787 45 41 the the DET ajst-21787 45 42 lowest low ADJ ajst-21787 45 43 level level NOUN ajst-21787 45 44 . . PUNCT ajst-21787 46 1 further further ADJ ajst-21787 46 2 observation observation NOUN ajst-21787 46 3 of of ADP ajst-21787 46 4 figure figure NOUN ajst-21787 46 5 2 2 NUM ajst-21787 46 6 ( ( PUNCT ajst-21787 46 7 c c NOUN ajst-21787 46 8 ) ) PUNCT ajst-21787 46 9 shows show VERB ajst-21787 46 10 that that SCONJ ajst-21787 46 11 the the DET ajst-21787 46 12 remote remote ADJ ajst-21787 46 13 sensing sense VERB ajst-21787 46 14 reflectance reflectance NOUN ajst-21787 46 15 of of ADP ajst-21787 46 16 urban urban ADJ ajst-21787 46 17 black black ADJ ajst-21787 46 18 and and CCONJ ajst-21787 46 19 odorous odorous ADJ ajst-21787 46 20 water water NOUN ajst-21787 46 21 bodies body NOUN ajst-21787 46 22 shows show VERB ajst-21787 46 23 a a DET ajst-21787 46 24 relatively relatively ADV ajst-21787 46 25 flat flat ADJ ajst-21787 46 26 trend trend NOUN ajst-21787 46 27 in in ADP ajst-21787 46 28 the the DET ajst-21787 46 29 band band NOUN ajst-21787 46 30 of of ADP ajst-21787 46 31 550 550 NUM ajst-21787 46 32 nm nm NOUN ajst-21787 46 33 to to ADP ajst-21787 46 34 700 700 NUM ajst-21787 46 35 nm nm NOUN ajst-21787 46 36 . . PUNCT ajst-21787 47 1 although although SCONJ ajst-21787 47 2 there there PRON ajst-21787 47 3 are be VERB ajst-21787 47 4 fluctuations fluctuation NOUN ajst-21787 47 5 during during ADP ajst-21787 47 6 the the DET ajst-21787 47 7 period period NOUN ajst-21787 47 8 , , PUNCT ajst-21787 47 9 no no DET ajst-21787 47 10 significant significant ADJ ajst-21787 47 11 peak peak NOUN ajst-21787 47 12 and and CCONJ ajst-21787 47 13 valley valley NOUN ajst-21787 47 14 characteristics characteristic NOUN ajst-21787 47 15 are be AUX ajst-21787 47 16 formed form VERB ajst-21787 47 17 . . PUNCT ajst-21787 48 1 this this DET ajst-21787 48 2 unique unique ADJ ajst-21787 48 3 spectral spectral ADJ ajst-21787 48 4 performance performance NOUN ajst-21787 48 5 can can AUX ajst-21787 48 6 be be AUX ajst-21787 48 7 used use VERB ajst-21787 48 8 as as ADP ajst-21787 48 9 a a DET ajst-21787 48 10 basis basis NOUN ajst-21787 48 11 for for ADP ajst-21787 48 12 remote remote ADJ ajst-21787 48 13 sensing sense VERB ajst-21787 48 14 recognition recognition NOUN ajst-21787 48 15 . . PUNCT ajst-21787 49 1 3.2 3.2 NUM ajst-21787 49 2 . . PUNCT ajst-21787 50 1 construction construction NOUN ajst-21787 50 2 of of ADP ajst-21787 50 3 urban urban ADJ ajst-21787 50 4 black black ADJ ajst-21787 50 5 and and CCONJ ajst-21787 50 6 odorous odorous ADJ ajst-21787 50 7 water water NOUN ajst-21787 50 8 body body NOUN ajst-21787 50 9 identification identification NOUN ajst-21787 50 10 algorithm algorithm NOUN ajst-21787 50 11 based base VERB ajst-21787 50 12 on on ADP ajst-21787 50 13 feature feature NOUN ajst-21787 50 14 band band NOUN ajst-21787 50 15 the the DET ajst-21787 50 16 difference difference NOUN ajst-21787 50 17 of of ADP ajst-21787 50 18 remote remote ADJ ajst-21787 50 19 sensing sense VERB ajst-21787 50 20 reflectance reflectance NOUN ajst-21787 50 21 between between ADP ajst-21787 50 22 urban urban ADJ ajst-21787 50 23 black black ADJ ajst-21787 50 24 and and CCONJ ajst-21787 50 25 odorous odorous ADJ ajst-21787 50 26 water water NOUN ajst-21787 50 27 bodies body NOUN ajst-21787 50 28 and and CCONJ ajst-21787 50 29 normal normal ADJ ajst-21787 50 30 water water NOUN ajst-21787 50 31 bodies body NOUN ajst-21787 50 32 was be AUX ajst-21787 50 33 compared compare VERB ajst-21787 50 34 . . PUNCT ajst-21787 51 1 in in ADP ajst-21787 51 2 order order NOUN ajst-21787 51 3 to to PART ajst-21787 51 4 distinguish distinguish VERB ajst-21787 51 5 the the DET ajst-21787 51 6 two two NUM ajst-21787 51 7 water water NOUN ajst-21787 51 8 bodies body NOUN ajst-21787 51 9 accurately accurately ADV ajst-21787 51 10 , , PUNCT ajst-21787 51 11 this this DET ajst-21787 51 12 study study NOUN ajst-21787 51 13 determined determine VERB ajst-21787 51 14 different different ADJ ajst-21787 51 15 characteristic characteristic ADJ ajst-21787 51 16 bands band NOUN ajst-21787 51 17 according accord VERB ajst-21787 51 18 to to ADP ajst-21787 51 19 different different ADJ ajst-21787 51 20 methods method NOUN ajst-21787 51 21 to to PART ajst-21787 51 22 distinguish distinguish VERB ajst-21787 51 23 the the DET ajst-21787 51 24 black black ADJ ajst-21787 51 25 and and CCONJ ajst-21787 51 26 odorous odorous ADJ ajst-21787 51 27 water water NOUN ajst-21787 51 28 bodies body NOUN ajst-21787 51 29 . . PUNCT ajst-21787 52 1 in in ADP ajst-21787 52 2 the the DET ajst-21787 52 3 process process NOUN ajst-21787 52 4 of of ADP ajst-21787 52 5 model model NOUN ajst-21787 52 6 construction construction NOUN ajst-21787 52 7 , , PUNCT ajst-21787 52 8 water water NOUN ajst-21787 52 9 data datum NOUN ajst-21787 52 10 is be AUX ajst-21787 52 11 combined combine VERB ajst-21787 52 12 with with ADP ajst-21787 52 13 remote remote ADJ ajst-21787 52 14 sensing sense VERB ajst-21787 52 15 satellites satellite NOUN ajst-21787 52 16 . . PUNCT ajst-21787 53 1 in in ADP ajst-21787 53 2 this this DET ajst-21787 53 3 section section NOUN ajst-21787 53 4 , , PUNCT ajst-21787 53 5 the the DET ajst-21787 53 6 ratio ratio NOUN ajst-21787 53 7 of of ADP ajst-21787 53 8 normal normal ADJ ajst-21787 53 9 water water NOUN ajst-21787 53 10 to to ADP ajst-21787 53 11 black black ADJ ajst-21787 53 12 and and CCONJ ajst-21787 53 13 odorous odorous ADJ ajst-21787 53 14 water water NOUN ajst-21787 53 15 in in ADP ajst-21787 53 16 the the DET ajst-21787 53 17 modeling modeling NOUN ajst-21787 53 18 sample sample NOUN ajst-21787 53 19 is be AUX ajst-21787 53 20 2 2 NUM ajst-21787 53 21 to to ADP ajst-21787 53 22 3 3 NUM ajst-21787 53 23 . . PUNCT ajst-21787 54 1 based base VERB ajst-21787 54 2 on on ADP ajst-21787 54 3 these these DET ajst-21787 54 4 analysis analysis NOUN ajst-21787 54 5 results result NOUN ajst-21787 54 6 , , PUNCT ajst-21787 54 7 this this DET ajst-21787 54 8 study study NOUN ajst-21787 54 9 proposes propose VERB ajst-21787 54 10 four four NUM ajst-21787 54 11 methods method NOUN ajst-21787 54 12 based base VERB ajst-21787 54 13 on on ADP ajst-21787 54 14 feature feature NOUN ajst-21787 54 15 bands band NOUN ajst-21787 54 16 for for ADP ajst-21787 54 17 effective effective ADJ ajst-21787 54 18 identification identification NOUN ajst-21787 54 19 of of ADP ajst-21787 54 20 urban urban ADJ ajst-21787 54 21 black black ADJ ajst-21787 54 22 and and CCONJ ajst-21787 54 23 odorous odorous ADJ ajst-21787 54 24 water water NOUN ajst-21787 54 25 bodies body NOUN ajst-21787 54 26 . . PUNCT ajst-21787 55 1 3.2.1 3.2.1 X ajst-21787 55 2 . . PUNCT ajst-21787 55 3 single single ADJ ajst-21787 55 4 band band NOUN ajst-21787 55 5 threshold threshold NOUN ajst-21787 55 6 method method NOUN ajst-21787 55 7 ( ( PUNCT ajst-21787 55 8 1)single 1)single NUM ajst-21787 55 9 band band NOUN ajst-21787 55 10 threshold threshold NOUN ajst-21787 55 11 method method NOUN ajst-21787 55 12 on on ADP ajst-21787 55 13 the the DET ajst-21787 55 14 global global ADJ ajst-21787 55 15 scale scale NOUN ajst-21787 55 16 , , PUNCT ajst-21787 55 17 the the DET ajst-21787 55 18 green green ADJ ajst-21787 55 19 reflectance reflectance NOUN ajst-21787 55 20 of of ADP ajst-21787 55 21 urban urban ADJ ajst-21787 55 22 black black ADJ ajst-21787 55 23 and and CCONJ ajst-21787 55 24 odorous odorous ADJ ajst-21787 55 25 water water NOUN ajst-21787 55 26 is be AUX ajst-21787 55 27 lower low ADJ ajst-21787 55 28 than than ADP ajst-21787 55 29 that that PRON ajst-21787 55 30 of of ADP ajst-21787 55 31 normal normal ADJ ajst-21787 55 32 water water NOUN ajst-21787 55 33 . . PUNCT ajst-21787 56 1 therefore therefore ADV ajst-21787 56 2 , , PUNCT ajst-21787 56 3 this this DET ajst-21787 56 4 study study NOUN ajst-21787 56 5 uses use VERB ajst-21787 56 6 the the DET ajst-21787 56 7 remote remote ADJ ajst-21787 56 8 sensing sense VERB ajst-21787 56 9 reflectance reflectance NOUN ajst-21787 56 10 value value NOUN ajst-21787 56 11 of of ADP ajst-21787 56 12 green green ADJ ajst-21787 56 13 light light ADJ ajst-21787 56 14 band band NOUN ajst-21787 56 15 to to PART ajst-21787 56 16 identify identify VERB ajst-21787 56 17 urban urban ADJ ajst-21787 56 18 black black ADJ ajst-21787 56 19 and and CCONJ ajst-21787 56 20 odorous odorous ADJ ajst-21787 56 21 water water NOUN ajst-21787 56 22 bodies body NOUN ajst-21787 56 23 . . PUNCT ajst-21787 57 1 the the DET ajst-21787 57 2 specific specific ADJ ajst-21787 57 3 recognition recognition NOUN ajst-21787 57 4 algorithm algorithm NOUN ajst-21787 57 5 can can AUX ajst-21787 57 6 be be AUX ajst-21787 57 7 found find VERB ajst-21787 57 8 in in ADP ajst-21787 57 9 formula formula NOUN ajst-21787 57 10 ( ( PUNCT ajst-21787 57 11 1 1 NUM ajst-21787 57 12 ) ) PUNCT ajst-21787 57 13 . . PUNCT ajst-21787 58 1 0 0 NUM ajst-21787 59 1 rrs rrs PROPN ajst-21787 59 2 green green PROPN ajst-21787 59 3 t t PROPN ajst-21787 59 4 1 1 NUM ajst-21787 59 5 in in ADP ajst-21787 59 6 the the DET ajst-21787 59 7 formula formula NOUN ajst-21787 59 8 , , PUNCT ajst-21787 59 9 it it PRON ajst-21787 59 10 refers refer VERB ajst-21787 59 11 to to ADP ajst-21787 59 12 the the DET ajst-21787 59 13 remote remote ADJ ajst-21787 59 14 sensing sense VERB ajst-21787 59 15 reflectance reflectance NOUN ajst-21787 59 16 value value NOUN ajst-21787 59 17 of of ADP ajst-21787 59 18 sentinel-2 sentinel-2 ADJ ajst-21787 59 19 image image NOUN ajst-21787 59 20 green green ADJ ajst-21787 59 21 band band NOUN ajst-21787 59 22 after after ADP ajst-21787 59 23 atmospheric atmospheric ADJ ajst-21787 59 24 correction correction NOUN ajst-21787 59 25 , , PUNCT ajst-21787 59 26 and and CCONJ ajst-21787 59 27 t t PROPN ajst-21787 59 28 represents represent VERB ajst-21787 59 29 a a DET ajst-21787 59 30 preset preset ADJ ajst-21787 59 31 constant constant ADJ ajst-21787 59 32 threshold threshold NOUN ajst-21787 59 33 . . PUNCT ajst-21787 60 1 figure figure NOUN ajst-21787 60 2 3 3 NUM ajst-21787 60 3 . . PUNCT ajst-21787 60 4 single single ADJ ajst-21787 60 5 band band NOUN ajst-21787 60 6 method method NOUN ajst-21787 60 7 3.2.2 3.2.2 NUM ajst-21787 60 8 . . PUNCT ajst-21787 61 1 black black ADJ ajst-21787 61 2 and and CCONJ ajst-21787 61 3 odorous odorous ADJ ajst-21787 61 4 water water NOUN ajst-21787 61 5 difference difference NOUN ajst-21787 61 6 index index NOUN ajst-21787 61 7 ( ( PUNCT ajst-21787 61 8 dbwi dbwi PROPN ajst-21787 61 9 ) ) PUNCT ajst-21787 61 10 ( ( PUNCT ajst-21787 61 11 1 1 X ajst-21787 61 12 ) ) PUNCT ajst-21787 61 13 dbwi dbwi ADJ ajst-21787 61 14 calculation calculation NOUN ajst-21787 61 15 according accord VERB ajst-21787 61 16 to to ADP ajst-21787 61 17 the the DET ajst-21787 61 18 in in ADP ajst-21787 61 19 - - PUNCT ajst-21787 61 20 depth depth NOUN ajst-21787 61 21 analysis analysis NOUN ajst-21787 61 22 of of ADP ajst-21787 61 23 the the DET ajst-21787 61 24 reflectance reflectance NOUN ajst-21787 61 25 characteristics characteristic NOUN ajst-21787 61 26 of of ADP ajst-21787 61 27 urban urban ADJ ajst-21787 61 28 black black ADJ ajst-21787 61 29 and and CCONJ ajst-21787 61 30 odorous odorous ADJ ajst-21787 61 31 water water NOUN ajst-21787 61 32 in in ADP ajst-21787 61 33 a a DET ajst-21787 61 34 specific specific ADJ ajst-21787 61 35 wavelength wavelength NOUN ajst-21787 61 36 range range NOUN ajst-21787 61 37 , , PUNCT ajst-21787 61 38 this this DET ajst-21787 61 39 study study NOUN ajst-21787 61 40 found find VERB ajst-21787 61 41 that that SCONJ ajst-21787 61 42 the the DET ajst-21787 61 43 reflectance reflectance NOUN ajst-21787 61 44 of of ADP ajst-21787 61 45 the the DET ajst-21787 61 46 water water NOUN ajst-21787 61 47 body body NOUN ajst-21787 61 48 showed show VERB ajst-21787 61 49 a a DET ajst-21787 61 50 slow slow ADJ ajst-21787 61 51 rising rise VERB ajst-21787 61 52 trend trend NOUN ajst-21787 61 53 in in ADP ajst-21787 61 54 the the DET ajst-21787 61 55 spectral spectral ADJ ajst-21787 61 56 range range NOUN ajst-21787 61 57 from from ADP ajst-21787 61 58 480 480 NUM ajst-21787 61 59 nm nm NOUN ajst-21787 61 60 to to ADP ajst-21787 61 61 550 550 NUM ajst-21787 61 62 nm nm NOUN ajst-21787 61 63 , , PUNCT ajst-21787 61 64 especially especially ADV ajst-21787 61 65 near near ADP ajst-21787 61 66 550 550 NUM ajst-21787 61 67 nm nm NOUN ajst-21787 61 68 , , PUNCT ajst-21787 61 69 the the DET ajst-21787 61 70 crest crest NOUN ajst-21787 61 71 shape shape NOUN ajst-21787 61 72 of of ADP ajst-21787 61 73 the the DET ajst-21787 61 74 reflectance reflectance NOUN ajst-21787 61 75 curve curve NOUN ajst-21787 61 76 was be AUX ajst-21787 61 77 particularly particularly ADV ajst-21787 61 78 broad broad ADJ ajst-21787 61 79 , , PUNCT ajst-21787 61 80 and and CCONJ ajst-21787 61 81 the the DET ajst-21787 61 82 reflectance reflectance NOUN ajst-21787 61 83 value value NOUN ajst-21787 61 84 reached reach VERB ajst-21787 61 85 the the DET ajst-21787 61 86 lowest low ADJ ajst-21787 61 87 at at ADP ajst-21787 61 88 this this DET ajst-21787 61 89 point point NOUN ajst-21787 61 90 . . PUNCT ajst-21787 62 1 this this DET ajst-21787 62 2 finding finding NOUN ajst-21787 62 3 provides provide VERB ajst-21787 62 4 a a DET ajst-21787 62 5 new new ADJ ajst-21787 62 6 perspective perspective NOUN ajst-21787 62 7 for for SCONJ ajst-21787 62 8 this this DET ajst-21787 62 9 study study NOUN ajst-21787 62 10 to to PART ajst-21787 62 11 examine examine VERB ajst-21787 62 12 the the DET ajst-21787 62 13 spectral spectral ADJ ajst-21787 62 14 characteristics characteristic NOUN ajst-21787 62 15 of of ADP ajst-21787 62 16 urban urban ADJ ajst-21787 62 17 black black ADJ ajst-21787 62 18 and and CCONJ ajst-21787 62 19 odorous odorous ADJ ajst-21787 62 20 water water NOUN ajst-21787 62 21 bodies body NOUN ajst-21787 62 22 . . PUNCT ajst-21787 63 1 in in ADP ajst-21787 63 2 the the DET ajst-21787 63 3 blue blue ADJ ajst-21787 63 4 - - PUNCT ajst-21787 63 5 green green ADJ ajst-21787 63 6 band band NOUN ajst-21787 63 7 of of ADP ajst-21787 63 8 sentinel-2 sentinel-2 PROPN ajst-21787 63 9 , , PUNCT ajst-21787 63 10 the the DET ajst-21787 63 11 spectral spectral ADJ ajst-21787 63 12 slope slope NOUN ajst-21787 63 13 of of ADP ajst-21787 63 14 the the DET ajst-21787 63 15 urban urban ADJ ajst-21787 63 16 black black ADJ ajst-21787 63 17 and and CCONJ ajst-21787 63 18 odorous odorous ADJ ajst-21787 63 19 water water NOUN ajst-21787 63 20 body body NOUN ajst-21787 63 21 shows show VERB ajst-21787 63 22 an an DET ajst-21787 63 23 obvious obvious ADJ ajst-21787 63 24 uniqueness uniqueness NOUN ajst-21787 63 25 , , PUNCT ajst-21787 63 26 that that ADV ajst-21787 63 27 is is ADV ajst-21787 63 28 , , PUNCT ajst-21787 63 29 the the DET ajst-21787 63 30 slope slope NOUN ajst-21787 63 31 value value NOUN ajst-21787 63 32 reaches reach VERB ajst-21787 63 33 the the DET ajst-21787 63 34 lowest low ADJ ajst-21787 63 35 point point NOUN ajst-21787 63 36 in in ADP ajst-21787 63 37 all all DET ajst-21787 63 38 the the DET ajst-21787 63 39 observed observed ADJ ajst-21787 63 40 bands band NOUN ajst-21787 63 41 . . PUNCT ajst-21787 64 1 this this DET ajst-21787 64 2 property property NOUN ajst-21787 64 3 provides provide VERB ajst-21787 64 4 an an DET ajst-21787 64 5 effective effective ADJ ajst-21787 64 6 means mean NOUN ajst-21787 64 7 to to PART ajst-21787 64 8 distinguish distinguish VERB ajst-21787 64 9 and and CCONJ ajst-21787 64 10 identify identify VERB ajst-21787 64 11 urban urban ADJ ajst-21787 64 12 black black ADJ ajst-21787 64 13 and and CCONJ ajst-21787 64 14 odorous odorous ADJ ajst-21787 64 15 water water NOUN ajst-21787 64 16 bodies body NOUN ajst-21787 64 17 . . PUNCT ajst-21787 65 1 in in ADP ajst-21787 65 2 order order NOUN ajst-21787 65 3 to to PART ajst-21787 65 4 quantify quantify VERB ajst-21787 65 5 this this DET ajst-21787 65 6 criterion criterion NOUN ajst-21787 65 7 more more ADV ajst-21787 65 8 accurately accurately ADV ajst-21787 65 9 , , PUNCT ajst-21787 65 10 a a DET ajst-21787 65 11 new new ADJ ajst-21787 65 12 index index NOUN ajst-21787 65 13 , , PUNCT ajst-21787 65 14 the the DET ajst-21787 65 15 difference difference NOUN ajst-21787 65 16 index index NOUN ajst-21787 65 17 of of ADP ajst-21787 65 18 black black ADJ ajst-21787 65 19 and and CCONJ ajst-21787 65 20 odorous odorous ADJ ajst-21787 65 21 water water NOUN ajst-21787 65 22 bodies body NOUN ajst-21787 65 23 , , PUNCT ajst-21787 65 24 was be AUX ajst-21787 65 25 introduced introduce VERB ajst-21787 65 26 in in ADP ajst-21787 65 27 this this DET ajst-21787 65 28 study study NOUN ajst-21787 65 29 . . PUNCT ajst-21787 66 1 the the DET ajst-21787 66 2 calculation calculation NOUN ajst-21787 66 3 method method NOUN ajst-21787 66 4 of of ADP ajst-21787 66 5 this this DET ajst-21787 66 6 index index NOUN ajst-21787 66 7 is be AUX ajst-21787 66 8 shown show VERB ajst-21787 66 9 in in ADP ajst-21787 66 10 equation equation NOUN ajst-21787 66 11 ( ( PUNCT ajst-21787 66 12 2 2 NUM ajst-21787 66 13 ) ) PUNCT ajst-21787 66 14 . . PUNCT ajst-21787 67 1 it it PRON ajst-21787 67 2 is be AUX ajst-21787 67 3 based base VERB ajst-21787 67 4 on on ADP ajst-21787 67 5 the the DET ajst-21787 67 6 difference difference NOUN ajst-21787 67 7 of of ADP ajst-21787 67 8 remote remote ADJ ajst-21787 67 9 sensing sense VERB ajst-21787 67 10 reflectance reflectance NOUN ajst-21787 67 11 of of ADP ajst-21787 67 12 blue blue ADJ ajst-21787 67 13 - - PUNCT ajst-21787 67 14 green green ADJ ajst-21787 67 15 band band NOUN ajst-21787 67 16 in in ADP ajst-21787 67 17 sentinel2 sentinel2 NOUN ajst-21787 67 18 image image NOUN ajst-21787 67 19 , , PUNCT ajst-21787 67 20 which which PRON ajst-21787 67 21 provides provide VERB ajst-21787 67 22 a a DET ajst-21787 67 23 scientific scientific ADJ ajst-21787 67 24 and and CCONJ ajst-21787 67 25 objective objective ADJ ajst-21787 67 26 index index NOUN ajst-21787 67 27 for for ADP ajst-21787 67 28 this this DET ajst-21787 67 29 study study NOUN ajst-21787 67 30 to to PART ajst-21787 67 31 evaluate evaluate VERB ajst-21787 67 32 and and CCONJ ajst-21787 67 33 identify identify VERB ajst-21787 67 34 urban urban ADJ ajst-21787 67 35 black black ADJ ajst-21787 67 36 and and CCONJ ajst-21787 67 37 odorous odorous ADJ ajst-21787 67 38 water water NOUN ajst-21787 67 39 bodies body NOUN ajst-21787 67 40 . . PUNCT ajst-21787 68 1 dbwi dbwi ADJ ajst-21787 68 2 r r NOUN ajst-21787 68 3 green green ADJ ajst-21787 68 4 r r NOUN ajst-21787 68 5 blue blue NOUN ajst-21787 68 6 . . PUNCT ajst-21787 69 1 ( ( PUNCT ajst-21787 69 2 2 2 X ajst-21787 69 3 ) ) PUNCT ajst-21787 69 4 188 188 NUM ajst-21787 69 5 after after ADP ajst-21787 69 6 atmospheric atmospheric ADJ ajst-21787 69 7 correction correction NOUN ajst-21787 69 8 , , PUNCT ajst-21787 69 9 the the DET ajst-21787 69 10 remote remote ADJ ajst-21787 69 11 sensing sense VERB ajst-21787 69 12 reflectance reflectance NOUN ajst-21787 69 13 values value NOUN ajst-21787 69 14 of of ADP ajst-21787 69 15 the the DET ajst-21787 69 16 green green ADJ ajst-21787 69 17 and and CCONJ ajst-21787 69 18 blue blue ADJ ajst-21787 69 19 bands band NOUN ajst-21787 69 20 of of ADP ajst-21787 69 21 sentinel-2 sentinel-2 NUM ajst-21787 69 22 image image NOUN ajst-21787 69 23 are be AUX ajst-21787 69 24 respectively respectively ADV ajst-21787 69 25 represented represent VERB ajst-21787 69 26 by by ADP ajst-21787 69 27 r r NOUN ajst-21787 69 28 green green NOUN ajst-21787 69 29 and and CCONJ ajst-21787 69 30 r r NOUN ajst-21787 69 31 blue blue NOUN ajst-21787 69 32 , , PUNCT ajst-21787 69 33 and and CCONJ ajst-21787 69 34 the the DET ajst-21787 69 35 unit unit NOUN ajst-21787 69 36 of of ADP ajst-21787 69 37 dbwi dbwi PROPN ajst-21787 69 38 is be AUX ajst-21787 69 39 sr sr PROPN ajst-21787 69 40 . . PUNCT ajst-21787 70 1 πΆπ‘Žπ‘‘π‘’π‘”π‘œπ‘Ÿπ‘¦ πΆπ‘Žπ‘‘π‘’π‘”π‘œπ‘Ÿπ‘¦ PROPN ajst-21787 70 2 π‘œπ‘“ π‘œπ‘“ ADP ajst-21787 70 3 π‘€π‘Žπ‘‘π‘’π‘Ÿ π‘€π‘Žπ‘‘π‘’π‘Ÿ PROPN ajst-21787 70 4 π‘π‘œπ‘‘π‘¦ π‘π‘œπ‘‘π‘¦ PROPN ajst-21787 70 5 black black ADJ ajst-21787 70 6 and and CCONJ ajst-21787 70 7 odorous odorous ADJ ajst-21787 70 8 water water NOUN ajst-21787 70 9 , , PUNCT ajst-21787 70 10 π·π΅π‘ŠπΌ π·π΅π‘ŠπΌ PROPN ajst-21787 70 11 0.00448sr 0.00448sr PUNCT ajst-21787 71 1 π‘π‘œπ‘Ÿπ‘šπ‘Žπ‘™ π‘π‘œπ‘Ÿπ‘šπ‘Žπ‘™ PROPN ajst-21787 71 2 π‘€π‘Žπ‘‘π‘’π‘Ÿ π‘€π‘Žπ‘‘π‘’π‘Ÿ NOUN ajst-21787 71 3 , , PUNCT ajst-21787 71 4 π·π΅π‘ŠπΌ π·π΅π‘ŠπΌ PROPN ajst-21787 71 5 0.00448sr 0.00448sr X ajst-21787 71 6 ( ( PUNCT ajst-21787 71 7 3 3 X ajst-21787 71 8 ) ) PUNCT ajst-21787 71 9 figure figure NOUN ajst-21787 71 10 4 4 NUM ajst-21787 71 11 . . PUNCT ajst-21787 72 1 the the DET ajst-21787 72 2 difference difference NOUN ajst-21787 72 3 in in ADP ajst-21787 72 4 remote remote ADJ ajst-21787 72 5 sensing sense VERB ajst-21787 72 6 reflectivity reflectivity NOUN ajst-21787 72 7 in in ADP ajst-21787 72 8 the the DET ajst-21787 72 9 blue blue ADJ ajst-21787 72 10 - - PUNCT ajst-21787 72 11 green green ADJ ajst-21787 72 12 band band NOUN ajst-21787 72 13 3.2.3 3.2.3 NUM ajst-21787 72 14 . . PUNCT ajst-21787 73 1 slope slope NOUN ajst-21787 73 2 of of ADP ajst-21787 73 3 black black ADJ ajst-21787 73 4 - - PUNCT ajst-21787 73 5 odorous odorous ADJ ajst-21787 73 6 water water NOUN ajst-21787 73 7 index index NOUN ajst-21787 73 8 ( ( PUNCT ajst-21787 73 9 sbwi sbwi VERB ajst-21787 73 10 ) ) PUNCT ajst-21787 73 11 ( ( PUNCT ajst-21787 73 12 1 1 X ajst-21787 73 13 ) ) PUNCT ajst-21787 73 14 calculation calculation NOUN ajst-21787 73 15 of of ADP ajst-21787 73 16 sbwi sbwi VERB ajst-21787 73 17 after after ADP ajst-21787 73 18 in in ADP ajst-21787 73 19 - - PUNCT ajst-21787 73 20 depth depth NOUN ajst-21787 73 21 analysis analysis NOUN ajst-21787 73 22 of of ADP ajst-21787 73 23 the the DET ajst-21787 73 24 spectral spectral ADJ ajst-21787 73 25 characteristics characteristic NOUN ajst-21787 73 26 of of ADP ajst-21787 73 27 the the DET ajst-21787 73 28 black black ADJ ajst-21787 73 29 and and CCONJ ajst-21787 73 30 odorous odorous ADJ ajst-21787 73 31 water water NOUN ajst-21787 73 32 body body NOUN ajst-21787 73 33 in in ADP ajst-21787 73 34 nanning nanning PROPN ajst-21787 73 35 city city PROPN ajst-21787 73 36 , , PUNCT ajst-21787 73 37 this this DET ajst-21787 73 38 study study NOUN ajst-21787 73 39 found find VERB ajst-21787 73 40 that that SCONJ ajst-21787 73 41 the the DET ajst-21787 73 42 spectral spectral ADJ ajst-21787 73 43 curve curve NOUN ajst-21787 73 44 of of ADP ajst-21787 73 45 the the DET ajst-21787 73 46 black black ADJ ajst-21787 73 47 and and CCONJ ajst-21787 73 48 odorous odorous ADJ ajst-21787 73 49 water water NOUN ajst-21787 73 50 body body NOUN ajst-21787 73 51 showed show VERB ajst-21787 73 52 a a DET ajst-21787 73 53 gentle gentle ADJ ajst-21787 73 54 trend trend NOUN ajst-21787 73 55 in in ADP ajst-21787 73 56 the the DET ajst-21787 73 57 wavelength wavelength NOUN ajst-21787 73 58 range range NOUN ajst-21787 73 59 of of ADP ajst-21787 73 60 550 550 NUM ajst-21787 73 61 nm nm NOUN ajst-21787 73 62 and and CCONJ ajst-21787 73 63 700 700 NUM ajst-21787 73 64 nm nm NOUN ajst-21787 73 65 , , PUNCT ajst-21787 73 66 especially especially ADV ajst-21787 73 67 in in ADP ajst-21787 73 68 the the DET ajst-21787 73 69 blue blue ADJ ajst-21787 73 70 , , PUNCT ajst-21787 73 71 green green ADJ ajst-21787 73 72 and and CCONJ ajst-21787 73 73 red red ADJ ajst-21787 73 74 bands band NOUN ajst-21787 73 75 of of ADP ajst-21787 73 76 sentinel-2 sentinel-2 NUM ajst-21787 73 77 image.when image.when ADV ajst-21787 73 78 transitioning transition VERB ajst-21787 73 79 from from ADP ajst-21787 73 80 blue blue ADJ ajst-21787 73 81 band band NOUN ajst-21787 73 82 to to ADP ajst-21787 73 83 green green ADJ ajst-21787 73 84 band band NOUN ajst-21787 73 85 , , PUNCT ajst-21787 73 86 the the DET ajst-21787 73 87 black black ADJ ajst-21787 73 88 and and CCONJ ajst-21787 73 89 odorous odorous ADJ ajst-21787 73 90 water water NOUN ajst-21787 73 91 body body NOUN ajst-21787 73 92 is be AUX ajst-21787 73 93 relatively relatively ADV ajst-21787 73 94 smooth smooth ADJ ajst-21787 73 95 . . PUNCT ajst-21787 74 1 although although SCONJ ajst-21787 74 2 the the DET ajst-21787 74 3 absolute absolute ADJ ajst-21787 74 4 value value NOUN ajst-21787 74 5 of of ADP ajst-21787 74 6 its its PRON ajst-21787 74 7 slope slope NOUN ajst-21787 74 8 is be AUX ajst-21787 74 9 small small ADJ ajst-21787 74 10 , , PUNCT ajst-21787 74 11 it it PRON ajst-21787 74 12 is be AUX ajst-21787 74 13 still still ADV ajst-21787 74 14 different different ADJ ajst-21787 74 15 from from ADP ajst-21787 74 16 the the DET ajst-21787 74 17 normal normal ADJ ajst-21787 74 18 water water NOUN ajst-21787 74 19 body body NOUN ajst-21787 74 20 to to ADP ajst-21787 74 21 some some DET ajst-21787 74 22 extent extent NOUN ajst-21787 74 23 . . PUNCT ajst-21787 75 1 the the DET ajst-21787 75 2 slope slope NOUN ajst-21787 75 3 of of ADP ajst-21787 75 4 black black ADJ ajst-21787 75 5 - - PUNCT ajst-21787 75 6 odorous odorous ADJ ajst-21787 75 7 water water NOUN ajst-21787 75 8 index index NOUN ajst-21787 75 9 ( ( PUNCT ajst-21787 75 10 sbwi sbwi VERB ajst-21787 75 11 ) ) PUNCT ajst-21787 75 12 was be AUX ajst-21787 75 13 used use VERB ajst-21787 75 14 to to PART ajst-21787 75 15 identify identify VERB ajst-21787 75 16 black black ADJ ajst-21787 75 17 and and CCONJ ajst-21787 75 18 odorous odorous ADJ ajst-21787 75 19 water water NOUN ajst-21787 75 20 more more ADV ajst-21787 75 21 accurately accurately ADV ajst-21787 75 22 . . PUNCT ajst-21787 76 1 the the DET ajst-21787 76 2 index index NOUN ajst-21787 76 3 is be AUX ajst-21787 76 4 obtained obtain VERB ajst-21787 76 5 by by ADP ajst-21787 76 6 calculating calculate VERB ajst-21787 76 7 the the DET ajst-21787 76 8 product product NOUN ajst-21787 76 9 of of ADP ajst-21787 76 10 the the DET ajst-21787 76 11 spectral spectral ADJ ajst-21787 76 12 slope slope NOUN ajst-21787 76 13 of of ADP ajst-21787 76 14 the the DET ajst-21787 76 15 blue blue ADJ ajst-21787 76 16 band band NOUN ajst-21787 76 17 and and CCONJ ajst-21787 76 18 the the DET ajst-21787 76 19 green green ADJ ajst-21787 76 20 band band NOUN ajst-21787 76 21 , , PUNCT ajst-21787 76 22 aiming aim VERB ajst-21787 76 23 to to PART ajst-21787 76 24 quantify quantify VERB ajst-21787 76 25 the the DET ajst-21787 76 26 spectral spectral ADJ ajst-21787 76 27 characteristics characteristic NOUN ajst-21787 76 28 of of ADP ajst-21787 76 29 the the DET ajst-21787 76 30 black black ADJ ajst-21787 76 31 and and CCONJ ajst-21787 76 32 odorous odorous ADJ ajst-21787 76 33 water water NOUN ajst-21787 76 34 in in ADP ajst-21787 76 35 this this DET ajst-21787 76 36 specific specific ADJ ajst-21787 76 37 wavelength wavelength NOUN ajst-21787 76 38 range range NOUN ajst-21787 76 39 . . PUNCT ajst-21787 77 1 the the DET ajst-21787 77 2 specific specific ADJ ajst-21787 77 3 calculation calculation NOUN ajst-21787 77 4 method method NOUN ajst-21787 77 5 is be AUX ajst-21787 77 6 shown show VERB ajst-21787 77 7 in in ADP ajst-21787 77 8 formula formula NOUN ajst-21787 77 9 ( ( PUNCT ajst-21787 77 10 4 4 NUM ajst-21787 77 11 ) ) PUNCT ajst-21787 77 12 . . PUNCT ajst-21787 78 1 sbwi sbwi VERB ajst-21787 79 1 | | ADV ajst-21787 80 1 | | ADV ajst-21787 80 2 | | ADV ajst-21787 80 3 | | INTJ ajst-21787 80 4 ( ( PUNCT ajst-21787 80 5 4 4 NUM ajst-21787 80 6 ) ) PUNCT ajst-21787 80 7 in in ADP ajst-21787 80 8 the the DET ajst-21787 80 9 formula formula NOUN ajst-21787 80 10 , , PUNCT ajst-21787 80 11 r r NOUN ajst-21787 80 12 blue blue ADJ ajst-21787 80 13 、 、 NOUN ajst-21787 80 14 r r NOUN ajst-21787 80 15 green green NOUN ajst-21787 80 16 and and CCONJ ajst-21787 80 17 r r NOUN ajst-21787 80 18 red red NOUN ajst-21787 80 19 represent represent VERB ajst-21787 80 20 the the DET ajst-21787 80 21 reflectance reflectance NOUN ajst-21787 80 22 values value NOUN ajst-21787 80 23 of of ADP ajst-21787 80 24 the the DET ajst-21787 80 25 blue blue ADJ ajst-21787 80 26 band band NOUN ajst-21787 80 27 , , PUNCT ajst-21787 80 28 green green ADJ ajst-21787 80 29 light light NOUN ajst-21787 80 30 , , PUNCT ajst-21787 80 31 and and CCONJ ajst-21787 80 32 red red ADJ ajst-21787 80 33 light light NOUN ajst-21787 80 34 bands band NOUN ajst-21787 80 35 of of ADP ajst-21787 80 36 sentinel-2 sentinel-2 ADJ ajst-21787 80 37 images image NOUN ajst-21787 80 38 , , PUNCT ajst-21787 80 39 respectively respectively ADV ajst-21787 80 40 . . PUNCT ajst-21787 81 1 in in ADP ajst-21787 81 2 addition addition NOUN ajst-21787 81 3 , , PUNCT ajst-21787 81 4 the the DET ajst-21787 81 5 center center NOUN ajst-21787 81 6 wavelength wavelength NOUN ajst-21787 81 7 interval interval NOUN ajst-21787 81 8 between between ADP ajst-21787 81 9 the the DET ajst-21787 81 10 green green ADJ ajst-21787 81 11 and and CCONJ ajst-21787 81 12 blue blue ADJ ajst-21787 81 13 bands band NOUN ajst-21787 81 14 of of ADP ajst-21787 81 15 sentinel-2 sentinel-2 ADJ ajst-21787 81 16 images image NOUN ajst-21787 81 17 is be AUX ajst-21787 81 18 described describe VERB ajst-21787 81 19 δλ δλ NOUN ajst-21787 81 20 , , PUNCT ajst-21787 81 21 and and CCONJ ajst-21787 81 22 the the DET ajst-21787 81 23 difference difference NOUN ajst-21787 81 24 between between ADP ajst-21787 81 25 the the DET ajst-21787 81 26 center center ADJ ajst-21787 81 27 wavelength wavelength NOUN ajst-21787 81 28 of of ADP ajst-21787 81 29 the the DET ajst-21787 81 30 green green ADJ ajst-21787 81 31 band band NOUN ajst-21787 81 32 and and CCONJ ajst-21787 81 33 the the DET ajst-21787 81 34 center center ADJ ajst-21787 81 35 wavelength wavelength NOUN ajst-21787 81 36 of of ADP ajst-21787 81 37 the the DET ajst-21787 81 38 red red ADJ ajst-21787 81 39 band band NOUN ajst-21787 81 40 is be AUX ajst-21787 81 41 described describe VERB ajst-21787 81 42 δλ δλ NOUN ajst-21787 81 43 , , PUNCT ajst-21787 81 44 and and CCONJ ajst-21787 81 45 the the DET ajst-21787 81 46 unit unit NOUN ajst-21787 81 47 of of ADP ajst-21787 81 48 sbwi sbwi PROPN ajst-21787 81 49 is be AUX ajst-21787 81 50 sr-2 sr-2 PRON ajst-21787 81 51 . . PUNCT ajst-21787 82 1 figure figure NOUN ajst-21787 82 2 5 5 NUM ajst-21787 82 3 . . PUNCT ajst-21787 83 1 the the DET ajst-21787 83 2 slope slope NOUN ajst-21787 83 3 index index NOUN ajst-21787 83 4 of of ADP ajst-21787 83 5 black black ADJ ajst-21787 83 6 and and CCONJ ajst-21787 83 7 odorous odorous ADJ ajst-21787 83 8 water water NOUN ajst-21787 83 9 is be AUX ajst-21787 83 10 constructed construct VERB ajst-21787 83 11 3.2.4 3.2.4 NUM ajst-21787 83 12 . . PUNCT ajst-21787 84 1 normalized normalize VERB ajst-21787 84 2 difference difference NOUN ajst-21787 84 3 black black ADJ ajst-21787 84 4 and and CCONJ ajst-21787 84 5 odorous odorous ADJ ajst-21787 84 6 water water NOUN ajst-21787 84 7 index index NOUN ajst-21787 84 8 ( ( PUNCT ajst-21787 84 9 ndbwi ndbwi PROPN ajst-21787 84 10 ) ) PUNCT ajst-21787 84 11 ( ( PUNCT ajst-21787 84 12 1)ndbwi 1)ndbwi NUM ajst-21787 84 13 calculation calculation NOUN ajst-21787 84 14 after after ADP ajst-21787 84 15 in in ADP ajst-21787 84 16 - - PUNCT ajst-21787 84 17 depth depth NOUN ajst-21787 84 18 analysis analysis NOUN ajst-21787 84 19 of of ADP ajst-21787 84 20 the the DET ajst-21787 84 21 spectral spectral ADJ ajst-21787 84 22 characteristics characteristic NOUN ajst-21787 84 23 of of ADP ajst-21787 84 24 urban urban ADJ ajst-21787 84 25 black black ADJ ajst-21787 84 26 and and CCONJ ajst-21787 84 27 odorous odorous ADJ ajst-21787 84 28 water water NOUN ajst-21787 84 29 bodies body NOUN ajst-21787 84 30 , , PUNCT ajst-21787 84 31 as as SCONJ ajst-21787 84 32 shown show VERB ajst-21787 84 33 in in ADP ajst-21787 84 34 figure figure NOUN ajst-21787 84 35 6 6 NUM ajst-21787 84 36 , , PUNCT ajst-21787 84 37 it it PRON ajst-21787 84 38 is be AUX ajst-21787 84 39 found find VERB ajst-21787 84 40 that that SCONJ ajst-21787 84 41 the the DET ajst-21787 84 42 slope slope NOUN ajst-21787 84 43 value value NOUN ajst-21787 84 44 of of ADP ajst-21787 84 45 the the DET ajst-21787 84 46 spectral spectral ADJ ajst-21787 84 47 curve curve NOUN ajst-21787 84 48 reaches reach VERB ajst-21787 84 49 the the DET ajst-21787 84 50 lowest low ADJ ajst-21787 84 51 in in ADP ajst-21787 84 52 the the DET ajst-21787 84 53 spectral spectral ADJ ajst-21787 84 54 range range NOUN ajst-21787 84 55 of of ADP ajst-21787 84 56 550 550 NUM ajst-21787 84 57 nm nm NOUN ajst-21787 84 58 to to ADP ajst-21787 84 59 700 700 NUM ajst-21787 84 60 nm nm NOUN ajst-21787 84 61 . . PUNCT ajst-21787 85 1 the the DET ajst-21787 85 2 corresponding corresponding ADJ ajst-21787 85 3 central central ADJ ajst-21787 85 4 wavelength wavelength NOUN ajst-21787 85 5 of of ADP ajst-21787 85 6 green green ADJ ajst-21787 85 7 band band NOUN ajst-21787 85 8 and and CCONJ ajst-21787 85 9 red red ADJ ajst-21787 85 10 band band NOUN ajst-21787 85 11 is be AUX ajst-21787 85 12 556 556 NUM ajst-21787 85 13 nm nm ADJ ajst-21787 85 14 and and CCONJ ajst-21787 85 15 666 666 NUM ajst-21787 85 16 nm nm NOUN ajst-21787 85 17 respectively respectively ADV ajst-21787 85 18 , , PUNCT ajst-21787 85 19 which which PRON ajst-21787 85 20 can can AUX ajst-21787 85 21 be be AUX ajst-21787 85 22 used use VERB ajst-21787 85 23 to to PART ajst-21787 85 24 reflect reflect VERB ajst-21787 85 25 the the DET ajst-21787 85 26 spectral spectral ADJ ajst-21787 85 27 characteristics characteristic NOUN ajst-21787 85 28 of of ADP ajst-21787 85 29 urban urban ADJ ajst-21787 85 30 black black ADJ ajst-21787 85 31 and and CCONJ ajst-21787 85 32 odorous odorous ADJ ajst-21787 85 33 water water NOUN ajst-21787 85 34 bodies body NOUN ajst-21787 85 35 . . PUNCT ajst-21787 86 1 based base VERB ajst-21787 86 2 on on ADP ajst-21787 86 3 the the DET ajst-21787 86 4 above above ADJ ajst-21787 86 5 analysis analysis NOUN ajst-21787 86 6 , , PUNCT ajst-21787 86 7 this this DET ajst-21787 86 8 study study NOUN ajst-21787 86 9 selected select VERB ajst-21787 86 10 the the DET ajst-21787 86 11 ratio ratio NOUN ajst-21787 86 12 of of ADP ajst-21787 86 13 remote remote ADJ ajst-21787 86 14 sensing sense VERB ajst-21787 86 15 reflectance reflectance NOUN ajst-21787 86 16 difference difference NOUN ajst-21787 86 17 and and CCONJ ajst-21787 86 18 sum sum NOUN ajst-21787 86 19 of of ADP ajst-21787 86 20 the the DET ajst-21787 86 21 two two NUM ajst-21787 86 22 bands band NOUN ajst-21787 86 23 as as ADP ajst-21787 86 24 the the DET ajst-21787 86 25 discrimination discrimination NOUN ajst-21787 86 26 index index NOUN ajst-21787 86 27 , , PUNCT ajst-21787 86 28 and and CCONJ ajst-21787 86 29 defined define VERB ajst-21787 86 30 it it PRON ajst-21787 86 31 as as ADP ajst-21787 86 32 the the DET ajst-21787 86 33 normalized normalize VERB ajst-21787 86 34 difference difference NOUN ajst-21787 86 35 black black ADJ ajst-21787 86 36 and and CCONJ ajst-21787 86 37 odorous odorous ADJ ajst-21787 86 38 water water NOUN ajst-21787 86 39 index index NOUN ajst-21787 86 40 ( ( PUNCT ajst-21787 86 41 ndbwi ndbwi ADJ ajst-21787 86 42 ) ) PUNCT ajst-21787 86 43 . . PUNCT ajst-21787 87 1 the the DET ajst-21787 87 2 index index NOUN ajst-21787 87 3 is be AUX ajst-21787 87 4 calculated calculate VERB ajst-21787 87 5 according accord VERB ajst-21787 87 6 to to ADP ajst-21787 87 7 the the DET ajst-21787 87 8 formula formula NOUN ajst-21787 87 9 ( ( PUNCT ajst-21787 87 10 5 5 NUM ajst-21787 87 11 ) ) PUNCT ajst-21787 87 12 . . PUNCT ajst-21787 88 1 ndbwi ndbwi VERB ajst-21787 88 2 ( ( PUNCT ajst-21787 88 3 5 5 NUM ajst-21787 88 4 ) ) PUNCT ajst-21787 88 5 in in ADP ajst-21787 88 6 the the DET ajst-21787 88 7 given give VERB ajst-21787 88 8 expression expression NOUN ajst-21787 88 9 , , PUNCT ajst-21787 88 10 and and CCONJ ajst-21787 88 11 represent represent VERB ajst-21787 88 12 the the DET ajst-21787 88 13 remote remote ADJ ajst-21787 88 14 sensing sense VERB ajst-21787 88 15 reflectance reflectance NOUN ajst-21787 88 16 values value NOUN ajst-21787 88 17 of of ADP ajst-21787 88 18 the the DET ajst-21787 88 19 green green ADJ ajst-21787 88 20 and and CCONJ ajst-21787 88 21 red red ADJ ajst-21787 88 22 bands band NOUN ajst-21787 88 23 of of ADP ajst-21787 88 24 sentinel-2 sentinel-2 ADJ ajst-21787 88 25 image image NOUN ajst-21787 88 26 after after ADP ajst-21787 88 27 atmospheric atmospheric ADJ ajst-21787 88 28 correction correction NOUN ajst-21787 88 29 respectively respectively ADV ajst-21787 88 30 , , PUNCT ajst-21787 88 31 and and CCONJ ajst-21787 88 32 the the DET ajst-21787 88 33 ndbwi ndbwi ADJ ajst-21787 88 34 value value NOUN ajst-21787 88 35 is be AUX ajst-21787 88 36 a a DET ajst-21787 88 37 dimensionless dimensionless NOUN ajst-21787 88 38 parameter parameter NOUN ajst-21787 88 39 . . PUNCT ajst-21787 89 1 πΆπ‘Žπ‘‘π‘’π‘”π‘œπ‘Ÿπ‘¦ πΆπ‘Žπ‘‘π‘’π‘”π‘œπ‘Ÿπ‘¦ PROPN ajst-21787 89 2 π‘œπ‘“ π‘œπ‘“ ADP ajst-21787 89 3 π‘€π‘Žπ‘‘π‘’π‘Ÿ π‘€π‘Žπ‘‘π‘’π‘Ÿ PROPN ajst-21787 89 4 π‘π‘œπ‘‘π‘¦ π‘π‘œπ‘‘π‘¦ PROPN ajst-21787 89 5 π‘π‘™π‘Žπ‘π‘˜ π‘π‘™π‘Žπ‘π‘˜ ADJ ajst-21787 89 6 π‘Žπ‘›π‘‘ π‘Žπ‘›π‘‘ ADJ ajst-21787 89 7 π‘œπ‘‘π‘œπ‘Ÿπ‘œπ‘’π‘  π‘œπ‘‘π‘œπ‘Ÿπ‘œπ‘’π‘  NOUN ajst-21787 89 8 π‘€π‘Žπ‘‘π‘’π‘Ÿ π‘€π‘Žπ‘‘π‘’π‘Ÿ NOUN ajst-21787 89 9 , , PUNCT ajst-21787 89 10 0.0788 0.0788 NUM ajst-21787 89 11 π‘π·π΅π‘ŠπΌ π‘π·π΅π‘ŠπΌ PROPN ajst-21787 89 12 0.137sr 0.137sr NOUN ajst-21787 89 13 π‘›π‘œπ‘Ÿπ‘Žπ‘šπ‘Žπ‘™ π‘›π‘œπ‘Ÿπ‘Žπ‘šπ‘Žπ‘™ NOUN ajst-21787 89 14 π‘€π‘Žπ‘‘π‘’π‘Ÿ π‘€π‘Žπ‘‘π‘’π‘Ÿ NOUN ajst-21787 89 15 , , PUNCT ajst-21787 89 16 π‘π·π΅π‘ŠπΌ π‘π·π΅π‘ŠπΌ PROPN ajst-21787 89 17 0.0788 0.0788 NUM ajst-21787 89 18 π‘œπ‘Ÿ π‘œπ‘Ÿ ADP ajst-21787 89 19 𝑁 𝑁 PROPN ajst-21787 89 20 π·π΅π‘ŠπΌ π·π΅π‘ŠπΌ PROPN ajst-21787 89 21 0.13713 0.13713 NUM ajst-21787 89 22 ( ( PUNCT ajst-21787 89 23 6 6 NUM ajst-21787 89 24 ) ) PUNCT ajst-21787 89 25 figure figure NOUN ajst-21787 89 26 6 6 NUM ajst-21787 89 27 . . NUM ajst-21787 89 28 ndbwi ndbwi VERB ajst-21787 89 29 construction construction NOUN ajst-21787 89 30 patterns pattern NOUN ajst-21787 89 31 189 189 NUM ajst-21787 89 32 4 4 NUM ajst-21787 89 33 . . PUNCT ajst-21787 89 34 result result VERB ajst-21787 89 35 4.1 4.1 NUM ajst-21787 89 36 . . PUNCT ajst-21787 90 1 evaluation evaluation NOUN ajst-21787 90 2 of of ADP ajst-21787 90 3 algorithm algorithm NOUN ajst-21787 90 4 recognition recognition NOUN ajst-21787 90 5 accuracy accuracy NOUN ajst-21787 90 6 the the DET ajst-21787 90 7 calculation calculation NOUN ajst-21787 90 8 method method NOUN ajst-21787 90 9 of of ADP ajst-21787 90 10 recognition recognition NOUN ajst-21787 90 11 accuracy accuracy NOUN ajst-21787 90 12 rate rate NOUN ajst-21787 90 13 is be AUX ajst-21787 90 14 shown show VERB ajst-21787 90 15 in in ADP ajst-21787 90 16 equation equation NOUN ajst-21787 90 17 ( ( PUNCT ajst-21787 90 18 7 7 NUM ajst-21787 90 19 ) ) PUNCT ajst-21787 90 20 : : PUNCT ajst-21787 90 21 accuary accuary ADJ ajst-21787 90 22 100 100 NUM ajst-21787 90 23 % % NOUN ajst-21787 90 24 ( ( PUNCT ajst-21787 90 25 7 7 NUM ajst-21787 90 26 ) ) PUNCT ajst-21787 90 27 where where SCONJ ajst-21787 90 28 n n PRON ajst-21787 90 29 indicates indicate VERB ajst-21787 90 30 the the DET ajst-21787 90 31 number number NOUN ajst-21787 90 32 of of ADP ajst-21787 90 33 samples sample NOUN ajst-21787 90 34 with with ADP ajst-21787 90 35 correct correct ADJ ajst-21787 90 36 identification identification NOUN ajst-21787 90 37 results result NOUN ajst-21787 90 38 , , PUNCT ajst-21787 90 39 which which DET ajst-21787 90 40 n n ADV ajst-21787 90 41 is be AUX ajst-21787 90 42 the the DET ajst-21787 90 43 total total ADJ ajst-21787 90 44 number number NOUN ajst-21787 90 45 of of ADP ajst-21787 90 46 verification verification NOUN ajst-21787 90 47 samples sample NOUN ajst-21787 90 48 . . PUNCT ajst-21787 91 1 after after ADP ajst-21787 91 2 collecting collect VERB ajst-21787 91 3 the the DET ajst-21787 91 4 measured measured ADJ ajst-21787 91 5 water water NOUN ajst-21787 91 6 quality quality NOUN ajst-21787 91 7 data datum NOUN ajst-21787 91 8 of of ADP ajst-21787 91 9 black black ADJ ajst-21787 91 10 and and CCONJ ajst-21787 91 11 odorous odorous ADJ ajst-21787 91 12 water water NOUN ajst-21787 91 13 bodies body NOUN ajst-21787 91 14 in in ADP ajst-21787 91 15 nanning nanning PROPN ajst-21787 91 16 city city NOUN ajst-21787 91 17 in in ADP ajst-21787 91 18 july july PROPN ajst-21787 91 19 2018 2018 NUM ajst-21787 91 20 , , PUNCT ajst-21787 91 21 a a DET ajst-21787 91 22 total total NOUN ajst-21787 91 23 of of ADP ajst-21787 91 24 12 12 NUM ajst-21787 91 25 sample sample NOUN ajst-21787 91 26 points point NOUN ajst-21787 91 27 were be AUX ajst-21787 91 28 selected select VERB ajst-21787 91 29 in in ADP ajst-21787 91 30 this this DET ajst-21787 91 31 study study NOUN ajst-21787 91 32 . . PUNCT ajst-21787 92 1 based base VERB ajst-21787 92 2 on on ADP ajst-21787 92 3 these these DET ajst-21787 92 4 detailed detailed ADJ ajst-21787 92 5 sample sample NOUN ajst-21787 92 6 data datum NOUN ajst-21787 92 7 , , PUNCT ajst-21787 92 8 this this DET ajst-21787 92 9 study study NOUN ajst-21787 92 10 carried carry VERB ajst-21787 92 11 out out ADP ajst-21787 92 12 the the DET ajst-21787 92 13 identification identification NOUN ajst-21787 92 14 accuracy accuracy NOUN ajst-21787 92 15 evaluation evaluation NOUN ajst-21787 92 16 to to PART ajst-21787 92 17 ensure ensure VERB ajst-21787 92 18 its its PRON ajst-21787 92 19 accuracy accuracy NOUN ajst-21787 92 20 and and CCONJ ajst-21787 92 21 reliability reliability NOUN ajst-21787 92 22 in in ADP ajst-21787 92 23 practical practical ADJ ajst-21787 92 24 application application NOUN ajst-21787 92 25 . . PUNCT ajst-21787 93 1 4.2 4.2 NUM ajst-21787 93 2 . . PUNCT ajst-21787 93 3 algorithm algorithm NOUN ajst-21787 93 4 accuracy accuracy NOUN ajst-21787 93 5 evaluation evaluation NOUN ajst-21787 93 6 and and CCONJ ajst-21787 93 7 optimal optimal ADJ ajst-21787 93 8 algorithm algorithm NOUN ajst-21787 93 9 screening screen VERB ajst-21787 93 10 as as SCONJ ajst-21787 93 11 shown show VERB ajst-21787 93 12 in in ADP ajst-21787 93 13 figure figure NOUN ajst-21787 93 14 3 3 NUM ajst-21787 93 15 , , PUNCT ajst-21787 93 16 the the DET ajst-21787 93 17 range range NOUN ajst-21787 93 18 of of ADP ajst-21787 93 19 normal normal ADJ ajst-21787 93 20 sampling sampling NOUN ajst-21787 93 21 points point NOUN ajst-21787 93 22 in in ADP ajst-21787 93 23 the the DET ajst-21787 93 24 green green ADJ ajst-21787 93 25 band band NOUN ajst-21787 93 26 is be AUX ajst-21787 93 27 0.0186 0.0186 NUM ajst-21787 93 28 sr-1 sr-1 NUM ajst-21787 93 29 - - PUNCT ajst-21787 93 30 0.035 0.035 NUM ajst-21787 93 31 sr-1 sr-1 NOUN ajst-21787 93 32 , , PUNCT ajst-21787 93 33 and and CCONJ ajst-21787 93 34 the the DET ajst-21787 93 35 range range NOUN ajst-21787 93 36 of of ADP ajst-21787 93 37 sampling sample VERB ajst-21787 93 38 points point NOUN ajst-21787 93 39 in in ADP ajst-21787 93 40 black black ADJ ajst-21787 93 41 and and CCONJ ajst-21787 93 42 odorous odorous ADJ ajst-21787 93 43 water water NOUN ajst-21787 93 44 is be AUX ajst-21787 93 45 0.002 0.002 NUM ajst-21787 93 46 sr-10.0186 sr-10.0186 ADJ ajst-21787 93 47 sr-1 sr-1 NUM ajst-21787 93 48 . . PUNCT ajst-21787 94 1 the the DET ajst-21787 94 2 overall overall ADJ ajst-21787 94 3 recognition recognition NOUN ajst-21787 94 4 accuracy accuracy NOUN ajst-21787 94 5 rate rate NOUN ajst-21787 94 6 is be AUX ajst-21787 94 7 62.79 62.79 NUM ajst-21787 94 8 % % NOUN ajst-21787 94 9 when when SCONJ ajst-21787 94 10 the the DET ajst-21787 94 11 threshold threshold NOUN ajst-21787 94 12 value value NOUN ajst-21787 94 13 of of ADP ajst-21787 94 14 0.0186sr-1 0.0186sr-1 NUM ajst-21787 94 15 is be AUX ajst-21787 94 16 adopted adopt VERB ajst-21787 94 17 . . PUNCT ajst-21787 95 1 as as SCONJ ajst-21787 95 2 shown show VERB ajst-21787 95 3 in in ADP ajst-21787 95 4 figure figure NOUN ajst-21787 95 5 4 4 NUM ajst-21787 95 6 , , PUNCT ajst-21787 95 7 the the DET ajst-21787 95 8 dbwi dbwi ADJ ajst-21787 95 9 algorithm algorithm NOUN ajst-21787 95 10 for for ADP ajst-21787 95 11 normal normal ADJ ajst-21787 95 12 water water NOUN ajst-21787 95 13 ranges range VERB ajst-21787 95 14 from from ADP ajst-21787 95 15 0.0048 0.0048 NUM ajst-21787 95 16 sr-1 sr-1 NUM ajst-21787 95 17 - - PUNCT ajst-21787 95 18 0.025 0.025 NUM ajst-21787 95 19 sr-1 sr-1 NOUN ajst-21787 95 20 , , PUNCT ajst-21787 95 21 and and CCONJ ajst-21787 95 22 for for ADP ajst-21787 95 23 black black ADJ ajst-21787 95 24 and and CCONJ ajst-21787 95 25 odorous odorous ADJ ajst-21787 95 26 water water NOUN ajst-21787 95 27 ranges range VERB ajst-21787 95 28 from from ADP ajst-21787 95 29 0.0001 0.0001 NUM ajst-21787 95 30 sr-1 sr-1 NOUN ajst-21787 95 31 to to ADP ajst-21787 95 32 0.0005 0.0005 NUM ajst-21787 95 33 sr-1 sr-1 NUM ajst-21787 95 34 . . PUNCT ajst-21787 96 1 with with ADP ajst-21787 96 2 the the DET ajst-21787 96 3 threshold threshold NOUN ajst-21787 96 4 value value NOUN ajst-21787 96 5 of of ADP ajst-21787 96 6 0.0048sr-1 0.0048sr-1 NUM ajst-21787 96 7 , , PUNCT ajst-21787 96 8 the the DET ajst-21787 96 9 overall overall ADJ ajst-21787 96 10 recognition recognition NOUN ajst-21787 96 11 accuracy accuracy NOUN ajst-21787 96 12 rate rate NOUN ajst-21787 96 13 is be AUX ajst-21787 96 14 90.7 90.7 NUM ajst-21787 96 15 % % NOUN ajst-21787 96 16 . . PUNCT ajst-21787 97 1 figure figure NOUN ajst-21787 97 2 5 5 NUM ajst-21787 97 3 shows show VERB ajst-21787 97 4 the the DET ajst-21787 97 5 value value NOUN ajst-21787 97 6 of of ADP ajst-21787 97 7 sbwi sbwi ADJ ajst-21787 97 8 algorithm algorithm NOUN ajst-21787 97 9 . . PUNCT ajst-21787 98 1 the the DET ajst-21787 98 2 value value NOUN ajst-21787 98 3 of of ADP ajst-21787 98 4 normal normal ADJ ajst-21787 98 5 water water NOUN ajst-21787 98 6 body body NOUN ajst-21787 98 7 is be AUX ajst-21787 98 8 0.00742 0.00742 NUM ajst-21787 98 9 sr-2 sr-2 NOUN ajst-21787 98 10 - - PUNCT ajst-21787 98 11 0.017 0.017 NUM ajst-21787 98 12 sr-2 sr-2 X ajst-21787 98 13 , , PUNCT ajst-21787 98 14 and and CCONJ ajst-21787 98 15 that that PRON ajst-21787 98 16 of of ADP ajst-21787 98 17 black black ADJ ajst-21787 98 18 and and CCONJ ajst-21787 98 19 odorous odorous ADJ ajst-21787 98 20 water water NOUN ajst-21787 98 21 body body NOUN ajst-21787 98 22 is be AUX ajst-21787 98 23 0.001 0.001 NUM ajst-21787 98 24 sr-2 sr-2 NOUN ajst-21787 98 25 - - PUNCT ajst-21787 98 26 0.00742 0.00742 NUM ajst-21787 98 27 sr-2 sr-2 NOUN ajst-21787 98 28 . . PUNCT ajst-21787 99 1 the the DET ajst-21787 99 2 threshold threshold NOUN ajst-21787 99 3 value value NOUN ajst-21787 99 4 is be AUX ajst-21787 99 5 0.00742sr-2 0.00742sr-2 NUM ajst-21787 99 6 , , PUNCT ajst-21787 99 7 and and CCONJ ajst-21787 99 8 the the DET ajst-21787 99 9 overall overall ADJ ajst-21787 99 10 recognition recognition NOUN ajst-21787 99 11 accuracy accuracy NOUN ajst-21787 99 12 rate rate NOUN ajst-21787 99 13 is be AUX ajst-21787 99 14 79.07 79.07 NUM ajst-21787 99 15 % % NOUN ajst-21787 99 16 . . PUNCT ajst-21787 100 1 figure figure NOUN ajst-21787 100 2 6 6 NUM ajst-21787 100 3 shows show VERB ajst-21787 100 4 the the DET ajst-21787 100 5 application application NOUN ajst-21787 100 6 of of ADP ajst-21787 100 7 the the DET ajst-21787 100 8 ndbwi ndbwi ADJ ajst-21787 100 9 method method NOUN ajst-21787 100 10 , , PUNCT ajst-21787 100 11 and and CCONJ ajst-21787 100 12 the the DET ajst-21787 100 13 normal normal ADJ ajst-21787 100 14 water water NOUN ajst-21787 100 15 value value NOUN ajst-21787 100 16 is be AUX ajst-21787 100 17 mainly mainly ADV ajst-21787 100 18 distributed distribute VERB ajst-21787 100 19 in in ADP ajst-21787 100 20 the the DET ajst-21787 100 21 range range NOUN ajst-21787 100 22 of of ADP ajst-21787 100 23 0.0089 0.0089 NUM ajst-21787 100 24 to to ADP ajst-21787 100 25 0.3046 0.3046 NUM ajst-21787 100 26 . . PUNCT ajst-21787 101 1 the the DET ajst-21787 101 2 sample sample NOUN ajst-21787 101 3 values value NOUN ajst-21787 101 4 of of ADP ajst-21787 101 5 black black ADJ ajst-21787 101 6 and and CCONJ ajst-21787 101 7 odorous odorous ADJ ajst-21787 101 8 water water NOUN ajst-21787 101 9 were be AUX ajst-21787 101 10 mainly mainly ADV ajst-21787 101 11 concentrated concentrate VERB ajst-21787 101 12 in in ADP ajst-21787 101 13 the the DET ajst-21787 101 14 range range NOUN ajst-21787 101 15 of of ADP ajst-21787 101 16 0.008 0.008 NUM ajst-21787 101 17 to to ADP ajst-21787 101 18 0.137 0.137 NUM ajst-21787 101 19 . . PUNCT ajst-21787 102 1 according accord VERB ajst-21787 102 2 to to ADP ajst-21787 102 3 the the DET ajst-21787 102 4 set set NOUN ajst-21787 102 5 threshold threshold NOUN ajst-21787 102 6 range range NOUN ajst-21787 102 7 of of ADP ajst-21787 102 8 0.06 0.06 NUM ajst-21787 102 9 to to ADP ajst-21787 102 10 0.115 0.115 NUM ajst-21787 102 11 , , PUNCT ajst-21787 102 12 this this DET ajst-21787 102 13 study study NOUN ajst-21787 102 14 successfully successfully ADV ajst-21787 102 15 identified identify VERB ajst-21787 102 16 all all DET ajst-21787 102 17 non non ADJ ajst-21787 102 18 - - ADJ ajst-21787 102 19 black black ADJ ajst-21787 102 20 and and CCONJ ajst-21787 102 21 odorous odorous ADJ ajst-21787 102 22 water water NOUN ajst-21787 102 23 samples sample NOUN ajst-21787 102 24 , , PUNCT ajst-21787 102 25 and and CCONJ ajst-21787 102 26 9 9 NUM ajst-21787 102 27 black black ADJ ajst-21787 102 28 and and CCONJ ajst-21787 102 29 odorous odorous ADJ ajst-21787 102 30 water water NOUN ajst-21787 102 31 samples sample NOUN ajst-21787 102 32 were be AUX ajst-21787 102 33 accurately accurately ADV ajst-21787 102 34 identified identify VERB ajst-21787 102 35 . . PUNCT ajst-21787 103 1 in in ADP ajst-21787 103 2 summary summary NOUN ajst-21787 103 3 , , PUNCT ajst-21787 103 4 the the DET ajst-21787 103 5 overall overall ADJ ajst-21787 103 6 recognition recognition NOUN ajst-21787 103 7 accuracy accuracy NOUN ajst-21787 103 8 reaches reach VERB ajst-21787 103 9 93.02 93.02 NUM ajst-21787 103 10 % % NOUN ajst-21787 103 11 . . PUNCT ajst-21787 104 1 4.3 4.3 NUM ajst-21787 104 2 . . PUNCT ajst-21787 105 1 precision precision NOUN ajst-21787 105 2 comparison comparison NOUN ajst-21787 105 3 under under ADP ajst-21787 105 4 different different ADJ ajst-21787 105 5 algorithms algorithm NOUN ajst-21787 105 6 through through ADP ajst-21787 105 7 the the DET ajst-21787 105 8 comprehensive comprehensive ADJ ajst-21787 105 9 analysis analysis NOUN ajst-21787 105 10 of of ADP ajst-21787 105 11 the the DET ajst-21787 105 12 field field NOUN ajst-21787 105 13 collection collection NOUN ajst-21787 105 14 and and CCONJ ajst-21787 105 15 observation observation NOUN ajst-21787 105 16 data datum NOUN ajst-21787 105 17 of of ADP ajst-21787 105 18 12 12 NUM ajst-21787 105 19 sample sample NOUN ajst-21787 105 20 points point NOUN ajst-21787 105 21 , , PUNCT ajst-21787 105 22 this this DET ajst-21787 105 23 study study NOUN ajst-21787 105 24 can can AUX ajst-21787 105 25 evaluate evaluate VERB ajst-21787 105 26 the the DET ajst-21787 105 27 recognition recognition NOUN ajst-21787 105 28 accuracy accuracy NOUN ajst-21787 105 29 of of ADP ajst-21787 105 30 black black ADJ ajst-21787 105 31 and and CCONJ ajst-21787 105 32 odorous odorous ADJ ajst-21787 105 33 water water NOUN ajst-21787 105 34 bodies body NOUN ajst-21787 105 35 based base VERB ajst-21787 105 36 on on ADP ajst-21787 105 37 synchronous synchronous ADJ ajst-21787 105 38 sentinel-2 sentinel-2 ADJ ajst-21787 105 39 images image NOUN ajst-21787 105 40 . . PUNCT ajst-21787 106 1 in in ADP ajst-21787 106 2 this this DET ajst-21787 106 3 study study NOUN ajst-21787 106 4 , , PUNCT ajst-21787 106 5 12 12 NUM ajst-21787 106 6 validation validation NOUN ajst-21787 106 7 sets set NOUN ajst-21787 106 8 were be AUX ajst-21787 106 9 used use VERB ajst-21787 106 10 to to PART ajst-21787 106 11 evaluate evaluate VERB ajst-21787 106 12 the the DET ajst-21787 106 13 recognition recognition NOUN ajst-21787 106 14 results result NOUN ajst-21787 106 15 . . PUNCT ajst-21787 107 1 table table NOUN ajst-21787 107 2 2 2 NUM ajst-21787 107 3 , , PUNCT ajst-21787 107 4 table table NOUN ajst-21787 107 5 3 3 NUM ajst-21787 107 6 , , PUNCT ajst-21787 107 7 table4 table4 NOUN ajst-21787 107 8 and and CCONJ ajst-21787 107 9 table table NOUN ajst-21787 107 10 4 4 NUM ajst-21787 107 11 - - SYM ajst-21787 107 12 5 5 NUM ajst-21787 107 13 show show VERB ajst-21787 107 14 the the DET ajst-21787 107 15 accuracy accuracy NOUN ajst-21787 107 16 of of ADP ajst-21787 107 17 the the DET ajst-21787 107 18 recognition recognition NOUN ajst-21787 107 19 results result NOUN ajst-21787 107 20 of of ADP ajst-21787 107 21 the the DET ajst-21787 107 22 four four NUM ajst-21787 107 23 methods method NOUN ajst-21787 107 24 . . PUNCT ajst-21787 108 1 in in ADP ajst-21787 108 2 the the DET ajst-21787 108 3 case case NOUN ajst-21787 108 4 that that SCONJ ajst-21787 108 5 whether whether SCONJ ajst-21787 108 6 the the DET ajst-21787 108 7 sample sample NOUN ajst-21787 108 8 is be AUX ajst-21787 108 9 black black ADJ ajst-21787 108 10 or or CCONJ ajst-21787 108 11 not not PART ajst-21787 108 12 is be AUX ajst-21787 108 13 known know VERB ajst-21787 108 14 , , PUNCT ajst-21787 108 15 the the DET ajst-21787 108 16 accuracy accuracy NOUN ajst-21787 108 17 of of ADP ajst-21787 108 18 each each DET ajst-21787 108 19 algorithm algorithm NOUN ajst-21787 108 20 is be AUX ajst-21787 108 21 calculated calculate VERB ajst-21787 108 22 in in ADP ajst-21787 108 23 this this DET ajst-21787 108 24 study study NOUN ajst-21787 108 25 , , PUNCT ajst-21787 108 26 so so SCONJ ajst-21787 108 27 as as SCONJ ajst-21787 108 28 to to PART ajst-21787 108 29 comprehensively comprehensively ADV ajst-21787 108 30 evaluate evaluate VERB ajst-21787 108 31 its its PRON ajst-21787 108 32 performance performance NOUN ajst-21787 108 33 in in ADP ajst-21787 108 34 practical practical ADJ ajst-21787 108 35 application application NOUN ajst-21787 108 36 . . PUNCT ajst-21787 109 1 table table NOUN ajst-21787 109 2 2 2 NUM ajst-21787 109 3 . . PUNCT ajst-21787 110 1 the the DET ajst-21787 110 2 sample sample NOUN ajst-21787 110 3 values value NOUN ajst-21787 110 4 and and CCONJ ajst-21787 110 5 identification identification NOUN ajst-21787 110 6 results result NOUN ajst-21787 110 7 were be AUX ajst-21787 110 8 verified verify VERB ajst-21787 110 9 based base VERB ajst-21787 110 10 on on ADP ajst-21787 110 11 the the DET ajst-21787 110 12 black black ADJ ajst-21787 110 13 and and CCONJ ajst-21787 110 14 odorous odorous ADJ ajst-21787 110 15 water water NOUN ajst-21787 110 16 single single ADJ ajst-21787 110 17 band band NOUN ajst-21787 110 18 method method NOUN ajst-21787 110 19 point point NOUN ajst-21787 110 20 single single ADJ ajst-21787 110 21 band band NOUN ajst-21787 110 22 method method NOUN ajst-21787 110 23 the the DET ajst-21787 110 24 actual actual ADJ ajst-21787 110 25 black black ADJ ajst-21787 110 26 smell smell NOUN ajst-21787 110 27 calculation calculation NOUN ajst-21787 110 28 result result NOUN ajst-21787 110 29 /sr-1 /sr-1 NOUN ajst-21787 110 30 identification identification NOUN ajst-21787 110 31 result result NOUN ajst-21787 110 32 p1 p1 PROPN ajst-21787 110 33 0.0195 0.0195 NUM ajst-21787 110 34 normal normal ADJ ajst-21787 110 35 normal normal ADJ ajst-21787 110 36 p2 p2 NOUN ajst-21787 110 37 0.0183 0.0183 NUM ajst-21787 110 38 black black ADJ ajst-21787 110 39 and and CCONJ ajst-21787 110 40 odorous odorous ADJ ajst-21787 110 41 normal normal ADJ ajst-21787 110 42 p3 p3 PROPN ajst-21787 110 43 0.0126 0.0126 NUM ajst-21787 110 44 black black ADJ ajst-21787 110 45 and and CCONJ ajst-21787 110 46 odorous odorous ADJ ajst-21787 110 47 black black ADJ ajst-21787 110 48 and and CCONJ ajst-21787 110 49 odorous odorous ADJ ajst-21787 110 50 p4 p4 ADJ ajst-21787 110 51 0.0278 0.0278 NUM ajst-21787 110 52 normal normal ADJ ajst-21787 110 53 black black ADJ ajst-21787 110 54 and and CCONJ ajst-21787 110 55 odorous odorous ADJ ajst-21787 110 56 p5 p5 ADJ ajst-21787 110 57 0.0104 0.0104 NUM ajst-21787 110 58 black black ADJ ajst-21787 110 59 and and CCONJ ajst-21787 110 60 odorous odorous ADJ ajst-21787 110 61 black black ADJ ajst-21787 110 62 and and CCONJ ajst-21787 110 63 odorous odorous ADJ ajst-21787 110 64 p6 p6 NOUN ajst-21787 110 65 0.0159 0.0159 NUM ajst-21787 110 66 black black ADJ ajst-21787 110 67 and and CCONJ ajst-21787 110 68 odorous odorous ADJ ajst-21787 110 69 black black ADJ ajst-21787 110 70 and and CCONJ ajst-21787 110 71 odorous odorous ADJ ajst-21787 110 72 p7 p7 NOUN ajst-21787 110 73 0.0199 0.0199 NUM ajst-21787 110 74 normal normal ADJ ajst-21787 110 75 black black ADJ ajst-21787 110 76 and and CCONJ ajst-21787 110 77 odorous odorous ADJ ajst-21787 110 78 p8 p8 PROPN ajst-21787 110 79 0.0233 0.0233 NUM ajst-21787 111 1 normal normal ADJ ajst-21787 111 2 normal normal ADJ ajst-21787 111 3 p9 p9 PROPN ajst-21787 111 4 0.0171 0.0171 NUM ajst-21787 111 5 black black ADJ ajst-21787 111 6 and and CCONJ ajst-21787 111 7 odorous odorous ADJ ajst-21787 111 8 normal normal ADJ ajst-21787 111 9 p10 p10 NOUN ajst-21787 111 10 0.0145 0.0145 NUM ajst-21787 111 11 black black ADJ ajst-21787 111 12 and and CCONJ ajst-21787 111 13 odorous odorous ADJ ajst-21787 111 14 black black ADJ ajst-21787 111 15 and and CCONJ ajst-21787 111 16 odorous odorous ADJ ajst-21787 111 17 p11 p11 NOUN ajst-21787 111 18 0.0101 0.0101 NUM ajst-21787 111 19 black black ADJ ajst-21787 111 20 and and CCONJ ajst-21787 111 21 odorous odorous ADJ ajst-21787 111 22 normal normal ADJ ajst-21787 111 23 p12 p12 VERB ajst-21787 111 24 0.0224 0.0224 NUM ajst-21787 111 25 normal normal ADJ ajst-21787 111 26 normal normal ADJ ajst-21787 111 27 according accord VERB ajst-21787 111 28 to to ADP ajst-21787 111 29 the the DET ajst-21787 111 30 data datum NOUN ajst-21787 111 31 provided provide VERB ajst-21787 111 32 in in ADP ajst-21787 111 33 table table NOUN ajst-21787 111 34 4 4 NUM ajst-21787 111 35 - - SYM ajst-21787 111 36 2 2 NUM ajst-21787 111 37 , , PUNCT ajst-21787 111 38 the the DET ajst-21787 111 39 judgment judgment NOUN ajst-21787 111 40 results result NOUN ajst-21787 111 41 of of ADP ajst-21787 111 42 the the DET ajst-21787 111 43 single single ADJ ajst-21787 111 44 - - PUNCT ajst-21787 111 45 band band NOUN ajst-21787 111 46 algorithm algorithm NOUN ajst-21787 111 47 can can AUX ajst-21787 111 48 be be AUX ajst-21787 111 49 obtained obtain VERB ajst-21787 111 50 . . PUNCT ajst-21787 112 1 under under ADP ajst-21787 112 2 the the DET ajst-21787 112 3 set set ADJ ajst-21787 112 4 threshold threshold NOUN ajst-21787 112 5 of of ADP ajst-21787 112 6 0.0186sr-1 0.0186sr-1 NUM ajst-21787 112 7 , , PUNCT ajst-21787 112 8 there there PRON ajst-21787 112 9 are be VERB ajst-21787 112 10 three three NUM ajst-21787 112 11 sample sample NOUN ajst-21787 112 12 points point NOUN ajst-21787 112 13 that that PRON ajst-21787 112 14 are be AUX ajst-21787 112 15 wrong wrong ADJ ajst-21787 112 16 in in ADP ajst-21787 112 17 the the DET ajst-21787 112 18 judgment judgment NOUN ajst-21787 112 19 of of ADP ajst-21787 112 20 non non ADJ ajst-21787 112 21 - - ADJ ajst-21787 112 22 black black ADJ ajst-21787 112 23 and and CCONJ ajst-21787 112 24 odorous odorous ADJ ajst-21787 112 25 water water NOUN ajst-21787 112 26 . . PUNCT ajst-21787 113 1 for for ADP ajst-21787 113 2 the the DET ajst-21787 113 3 judgment judgment NOUN ajst-21787 113 4 of of ADP ajst-21787 113 5 black black ADJ ajst-21787 113 6 and and CCONJ ajst-21787 113 7 odorous odorous ADJ ajst-21787 113 8 water water NOUN ajst-21787 113 9 , , PUNCT ajst-21787 113 10 two two NUM ajst-21787 113 11 sample sample NOUN ajst-21787 113 12 points point NOUN ajst-21787 113 13 were be AUX ajst-21787 113 14 also also ADV ajst-21787 113 15 misjudged misjudge VERB ajst-21787 113 16 as as ADP ajst-21787 113 17 non non ADJ ajst-21787 113 18 - - ADJ ajst-21787 113 19 black black ADJ ajst-21787 113 20 and and CCONJ ajst-21787 113 21 odorous odorous ADJ ajst-21787 113 22 water water NOUN ajst-21787 113 23 bodies body NOUN ajst-21787 113 24 ( ( PUNCT ajst-21787 113 25 as as SCONJ ajst-21787 113 26 shown show VERB ajst-21787 113 27 in in ADP ajst-21787 113 28 table table NOUN ajst-21787 113 29 2 2 NUM ajst-21787 113 30 , , PUNCT ajst-21787 113 31 their their PRON ajst-21787 113 32 single single ADJ ajst-21787 113 33 - - PUNCT ajst-21787 113 34 band band NOUN ajst-21787 113 35 values value NOUN ajst-21787 113 36 were be AUX ajst-21787 113 37 greater great ADJ ajst-21787 113 38 than than ADP ajst-21787 113 39 0.0186sr-1 0.0186sr-1 NUM ajst-21787 113 40 of of ADP ajst-21787 113 41 the the DET ajst-21787 113 42 sample sample NOUN ajst-21787 113 43 points point NOUN ajst-21787 113 44 of of ADP ajst-21787 113 45 black black ADJ ajst-21787 113 46 and and CCONJ ajst-21787 113 47 odorous odorous ADJ ajst-21787 113 48 water water NOUN ajst-21787 113 49 bodies body NOUN ajst-21787 113 50 ) ) PUNCT ajst-21787 113 51 . . PUNCT ajst-21787 114 1 after after ADP ajst-21787 114 2 detailed detailed ADJ ajst-21787 114 3 analysis analysis NOUN ajst-21787 114 4 of of ADP ajst-21787 114 5 all all DET ajst-21787 114 6 verified verified ADJ ajst-21787 114 7 samples sample NOUN ajst-21787 114 8 , , PUNCT ajst-21787 114 9 this this DET ajst-21787 114 10 study study NOUN ajst-21787 114 11 found find VERB ajst-21787 114 12 that that SCONJ ajst-21787 114 13 the the DET ajst-21787 114 14 identification identification NOUN ajst-21787 114 15 results result VERB ajst-21787 114 16 in in ADP ajst-21787 114 17 p1 p1 NOUN ajst-21787 114 18 , , PUNCT ajst-21787 114 19 p4 p4 ADJ ajst-21787 114 20 , , PUNCT ajst-21787 114 21 p5 p5 ADJ ajst-21787 114 22 , , PUNCT ajst-21787 114 23 p6 p6 PROPN ajst-21787 114 24 were be AUX ajst-21787 114 25 basically basically ADV ajst-21787 114 26 consistent consistent ADJ ajst-21787 114 27 with with ADP ajst-21787 114 28 the the DET ajst-21787 114 29 actual actual ADJ ajst-21787 114 30 situation situation NOUN ajst-21787 114 31 . . PUNCT ajst-21787 115 1 however however ADV ajst-21787 115 2 , , PUNCT ajst-21787 115 3 when when SCONJ ajst-21787 115 4 the the DET ajst-21787 115 5 judgment judgment NOUN ajst-21787 115 6 of of ADP ajst-21787 115 7 all all DET ajst-21787 115 8 sample sample NOUN ajst-21787 115 9 points point NOUN ajst-21787 115 10 is be AUX ajst-21787 115 11 considered consider VERB ajst-21787 115 12 comprehensively comprehensively ADV ajst-21787 115 13 , , PUNCT ajst-21787 115 14 it it PRON ajst-21787 115 15 is be AUX ajst-21787 115 16 found find VERB ajst-21787 115 17 that that SCONJ ajst-21787 115 18 the the DET ajst-21787 115 19 overall overall ADJ ajst-21787 115 20 recognition recognition NOUN ajst-21787 115 21 accuracy accuracy NOUN ajst-21787 115 22 of of ADP ajst-21787 115 23 this this DET ajst-21787 115 24 method method NOUN ajst-21787 115 25 is be AUX ajst-21787 115 26 only only ADV ajst-21787 115 27 58.3 58.3 NUM ajst-21787 115 28 % % NOUN ajst-21787 115 29 . . PUNCT ajst-21787 116 1 this this DET ajst-21787 116 2 result result NOUN ajst-21787 116 3 fully fully ADV ajst-21787 116 4 shows show VERB ajst-21787 116 5 that that SCONJ ajst-21787 116 6 although although SCONJ ajst-21787 116 7 the the DET ajst-21787 116 8 single single ADJ ajst-21787 116 9 - - PUNCT ajst-21787 116 10 band band NOUN ajst-21787 116 11 algorithm algorithm NOUN ajst-21787 116 12 shows show VERB ajst-21787 116 13 certain certain ADJ ajst-21787 116 14 accuracy accuracy NOUN ajst-21787 116 15 in in ADP ajst-21787 116 16 some some DET ajst-21787 116 17 specific specific ADJ ajst-21787 116 18 sample sample NOUN ajst-21787 116 19 points point NOUN ajst-21787 116 20 , , PUNCT ajst-21787 116 21 its its PRON ajst-21787 116 22 recognition recognition NOUN ajst-21787 116 23 accuracy accuracy NOUN ajst-21787 116 24 still still ADV ajst-21787 116 25 needs need VERB ajst-21787 116 26 to to PART ajst-21787 116 27 be be AUX ajst-21787 116 28 further far ADV ajst-21787 116 29 improved improve VERB ajst-21787 116 30 in in ADP ajst-21787 116 31 practical practical ADJ ajst-21787 116 32 applications application NOUN ajst-21787 116 33 . . PUNCT ajst-21787 117 1 therefore therefore ADV ajst-21787 117 2 , , PUNCT ajst-21787 117 3 this this DET ajst-21787 117 4 study study NOUN ajst-21787 117 5 needs need VERB ajst-21787 117 6 to to PART ajst-21787 117 7 continuously continuously ADV ajst-21787 117 8 optimize optimize VERB ajst-21787 117 9 and and CCONJ ajst-21787 117 10 perfect perfect VERB ajst-21787 117 11 the the DET ajst-21787 117 12 algorithm algorithm NOUN ajst-21787 117 13 in in ADP ajst-21787 117 14 subsequent subsequent ADJ ajst-21787 117 15 studies study NOUN ajst-21787 117 16 to to PART ajst-21787 117 17 improve improve VERB ajst-21787 117 18 its its PRON ajst-21787 117 19 performance performance NOUN ajst-21787 117 20 in in ADP ajst-21787 117 21 practical practical ADJ ajst-21787 117 22 applications application NOUN ajst-21787 117 23 . . PUNCT ajst-21787 118 1 190 190 NUM ajst-21787 118 2 table table NOUN ajst-21787 118 3 3 3 NUM ajst-21787 118 4 . . PUNCT ajst-21787 118 5 verifies verifie NOUN ajst-21787 118 6 the the DET ajst-21787 118 7 sample sample NOUN ajst-21787 118 8 values value NOUN ajst-21787 118 9 and and CCONJ ajst-21787 118 10 identification identification NOUN ajst-21787 118 11 results result NOUN ajst-21787 118 12 based base VERB ajst-21787 118 13 on on ADP ajst-21787 118 14 the the DET ajst-21787 118 15 difference difference NOUN ajst-21787 118 16 index index NOUN ajst-21787 118 17 of of ADP ajst-21787 118 18 black black ADJ ajst-21787 118 19 and and CCONJ ajst-21787 118 20 odorous odorous ADJ ajst-21787 118 21 water water NOUN ajst-21787 118 22 bodies body NOUN ajst-21787 118 23 point point VERB ajst-21787 118 24 dbwi dbwi VERB ajst-21787 118 25 the the DET ajst-21787 118 26 actual actual ADJ ajst-21787 118 27 black black ADJ ajst-21787 118 28 smell smell NOUN ajst-21787 118 29 calculation calculation NOUN ajst-21787 118 30 result result NOUN ajst-21787 118 31 /sr-1 /sr-1 NOUN ajst-21787 118 32 identification identification NOUN ajst-21787 118 33 result result NOUN ajst-21787 118 34 p1 p1 NOUN ajst-21787 118 35 0.0054 0.0054 NUM ajst-21787 118 36 normal normal ADJ ajst-21787 118 37 normal normal ADJ ajst-21787 118 38 p2 p2 PROPN ajst-21787 118 39 0.0033 0.0033 NUM ajst-21787 118 40 black black ADJ ajst-21787 118 41 and and CCONJ ajst-21787 118 42 odorous odorous ADJ ajst-21787 118 43 normal normal ADJ ajst-21787 118 44 p3 p3 PROPN ajst-21787 118 45 0.0057 0.0057 NUM ajst-21787 118 46 normal normal ADJ ajst-21787 118 47 black black ADJ ajst-21787 118 48 and and CCONJ ajst-21787 118 49 odorous odorous ADJ ajst-21787 118 50 p4 p4 ADJ ajst-21787 118 51 0.0019 0.0019 NUM ajst-21787 118 52 black black ADJ ajst-21787 118 53 and and CCONJ ajst-21787 118 54 odorous odorous ADJ ajst-21787 118 55 black black ADJ ajst-21787 118 56 and and CCONJ ajst-21787 118 57 odorous odorous ADJ ajst-21787 118 58 p5 p5 ADJ ajst-21787 118 59 0.0011 0.0011 NUM ajst-21787 118 60 black black ADJ ajst-21787 118 61 and and CCONJ ajst-21787 118 62 odorous odorous ADJ ajst-21787 118 63 black black ADJ ajst-21787 118 64 and and CCONJ ajst-21787 118 65 odorous odorous ADJ ajst-21787 118 66 p6 p6 NOUN ajst-21787 118 67 0.0018 0.0018 NUM ajst-21787 118 68 black black ADJ ajst-21787 118 69 and and CCONJ ajst-21787 118 70 odorous odorous ADJ ajst-21787 118 71 black black ADJ ajst-21787 118 72 and and CCONJ ajst-21787 118 73 odorous odorous ADJ ajst-21787 118 74 p7 p7 NOUN ajst-21787 118 75 0.0029 0.0029 NUM ajst-21787 118 76 black black ADJ ajst-21787 118 77 and and CCONJ ajst-21787 118 78 odorous odorous ADJ ajst-21787 118 79 black black ADJ ajst-21787 118 80 and and CCONJ ajst-21787 118 81 odorous odorous ADJ ajst-21787 118 82 p8 p8 PROPN ajst-21787 118 83 0.0038 0.0038 NUM ajst-21787 118 84 black black ADJ ajst-21787 118 85 and and CCONJ ajst-21787 118 86 odorous odorous ADJ ajst-21787 118 87 normal normal ADJ ajst-21787 118 88 p9 p9 PROPN ajst-21787 118 89 0.0074 0.0074 NUM ajst-21787 118 90 normal normal ADJ ajst-21787 118 91 normal normal ADJ ajst-21787 118 92 p10 p10 NOUN ajst-21787 118 93 0.0025 0.0025 NUM ajst-21787 118 94 black black ADJ ajst-21787 118 95 and and CCONJ ajst-21787 118 96 odorous odorous ADJ ajst-21787 118 97 black black ADJ ajst-21787 118 98 and and CCONJ ajst-21787 118 99 odorous odorous ADJ ajst-21787 118 100 p11 p11 NOUN ajst-21787 118 101 0.0029 0.0029 NUM ajst-21787 118 102 black black ADJ ajst-21787 118 103 and and CCONJ ajst-21787 118 104 odorous odorous ADJ ajst-21787 118 105 normal normal ADJ ajst-21787 118 106 p12 p12 NOUN ajst-21787 118 107 0.0071 0.0071 NUM ajst-21787 118 108 normal normal ADJ ajst-21787 118 109 normal normal ADJ ajst-21787 118 110 table table NOUN ajst-21787 118 111 3 3 NUM ajst-21787 118 112 shows show VERB ajst-21787 118 113 the the DET ajst-21787 118 114 comparison comparison NOUN ajst-21787 118 115 between between ADP ajst-21787 118 116 the the DET ajst-21787 118 117 difference difference NOUN ajst-21787 118 118 index index NOUN ajst-21787 118 119 method method NOUN ajst-21787 118 120 identification identification NOUN ajst-21787 118 121 results result NOUN ajst-21787 118 122 and and CCONJ ajst-21787 118 123 the the DET ajst-21787 118 124 actual actual ADJ ajst-21787 118 125 results result NOUN ajst-21787 118 126 . . PUNCT ajst-21787 119 1 with with ADP ajst-21787 119 2 the the DET ajst-21787 119 3 threshold threshold NOUN ajst-21787 119 4 value value NOUN ajst-21787 119 5 of of ADP ajst-21787 119 6 0.00448sr-1 0.00448sr-1 NUM ajst-21787 119 7 in in ADP ajst-21787 119 8 the the DET ajst-21787 119 9 training training NOUN ajst-21787 119 10 model model NOUN ajst-21787 119 11 , , PUNCT ajst-21787 119 12 two two NUM ajst-21787 119 13 points point NOUN ajst-21787 119 14 in in ADP ajst-21787 119 15 the the DET ajst-21787 119 16 normal normal ADJ ajst-21787 119 17 water water NOUN ajst-21787 119 18 body body NOUN ajst-21787 119 19 were be AUX ajst-21787 119 20 misjudged misjudge VERB ajst-21787 119 21 , , PUNCT ajst-21787 119 22 and and CCONJ ajst-21787 119 23 two two NUM ajst-21787 119 24 points point NOUN ajst-21787 119 25 in in ADP ajst-21787 119 26 the the DET ajst-21787 119 27 black black ADJ ajst-21787 119 28 and and CCONJ ajst-21787 119 29 odorous odorous ADJ ajst-21787 119 30 water water NOUN ajst-21787 119 31 body body NOUN ajst-21787 119 32 were be AUX ajst-21787 119 33 misjudged misjudge VERB ajst-21787 119 34 , , PUNCT ajst-21787 119 35 and and CCONJ ajst-21787 119 36 the the DET ajst-21787 119 37 accuracy accuracy NOUN ajst-21787 119 38 of of ADP ajst-21787 119 39 the the DET ajst-21787 119 40 method method NOUN ajst-21787 119 41 was be AUX ajst-21787 119 42 66.67 66.67 NUM ajst-21787 119 43 % % NOUN ajst-21787 119 44 . . PUNCT ajst-21787 120 1 table table NOUN ajst-21787 120 2 4 4 NUM ajst-21787 120 3 . . PUNCT ajst-21787 121 1 verifies verifie NOUN ajst-21787 121 2 sample sample VERB ajst-21787 121 3 values value NOUN ajst-21787 121 4 and and CCONJ ajst-21787 121 5 identification identification NOUN ajst-21787 121 6 results result NOUN ajst-21787 121 7 based base VERB ajst-21787 121 8 on on ADP ajst-21787 121 9 the the DET ajst-21787 121 10 slope slope NOUN ajst-21787 121 11 index index NOUN ajst-21787 121 12 of of ADP ajst-21787 121 13 black black ADJ ajst-21787 121 14 and and CCONJ ajst-21787 121 15 odorous odorous ADJ ajst-21787 121 16 water water NOUN ajst-21787 121 17 bodies body NOUN ajst-21787 121 18 point point VERB ajst-21787 121 19 sbwi sbwi VERB ajst-21787 121 20 the the DET ajst-21787 121 21 actual actual ADJ ajst-21787 121 22 black black ADJ ajst-21787 121 23 smell smell NOUN ajst-21787 121 24 calculation calculation NOUN ajst-21787 121 25 result result VERB ajst-21787 121 26 identification identification NOUN ajst-21787 121 27 result result NOUN ajst-21787 121 28 p1 p1 NOUN ajst-21787 121 29 0.0085 0.0085 NUM ajst-21787 121 30 normal normal ADJ ajst-21787 121 31 normal normal ADJ ajst-21787 121 32 p2 p2 NOUN ajst-21787 121 33 0.0085 0.0085 NUM ajst-21787 121 34 normal normal ADJ ajst-21787 121 35 normal normal ADJ ajst-21787 121 36 p3 p3 PROPN ajst-21787 121 37 0.0030 0.0030 NUM ajst-21787 121 38 black black ADJ ajst-21787 121 39 and and CCONJ ajst-21787 121 40 odorous odorous ADJ ajst-21787 121 41 black black ADJ ajst-21787 121 42 and and CCONJ ajst-21787 121 43 odorous odorous ADJ ajst-21787 121 44 p4 p4 ADJ ajst-21787 121 45 0.0081 0.0081 NUM ajst-21787 121 46 normal normal ADJ ajst-21787 121 47 black black ADJ ajst-21787 121 48 and and CCONJ ajst-21787 121 49 odorous odorous ADJ ajst-21787 121 50 p5 p5 PROPN ajst-21787 121 51 0.0018 0.0018 NUM ajst-21787 121 52 black black ADJ ajst-21787 121 53 and and CCONJ ajst-21787 121 54 odorous odorous ADJ ajst-21787 121 55 black black ADJ ajst-21787 121 56 and and CCONJ ajst-21787 121 57 odorous odorous ADJ ajst-21787 121 58 p6 p6 NOUN ajst-21787 121 59 0.0095 0.0095 NUM ajst-21787 121 60 normal normal ADJ ajst-21787 121 61 black black ADJ ajst-21787 121 62 and and CCONJ ajst-21787 121 63 odorous odorous ADJ ajst-21787 121 64 p7 p7 NOUN ajst-21787 121 65 0.0063 0.0063 NUM ajst-21787 121 66 black black ADJ ajst-21787 121 67 and and CCONJ ajst-21787 121 68 odorous odorous ADJ ajst-21787 121 69 black black ADJ ajst-21787 121 70 and and CCONJ ajst-21787 121 71 odorous odorous ADJ ajst-21787 121 72 p8 p8 NOUN ajst-21787 121 73 0.0089 0.0089 NUM ajst-21787 121 74 normal normal ADJ ajst-21787 121 75 normal normal ADJ ajst-21787 121 76 p9 p9 NOUN ajst-21787 121 77 0.0094 0.0094 NUM ajst-21787 121 78 normal normal ADJ ajst-21787 121 79 normal normal ADJ ajst-21787 121 80 p10 p10 NOUN ajst-21787 121 81 0.0071 0.0071 NUM ajst-21787 121 82 black black ADJ ajst-21787 121 83 and and CCONJ ajst-21787 121 84 odorous odorous ADJ ajst-21787 121 85 black black ADJ ajst-21787 121 86 and and CCONJ ajst-21787 121 87 odorous odorous ADJ ajst-21787 121 88 p11 p11 NOUN ajst-21787 121 89 0.0068 0.0068 NUM ajst-21787 121 90 black black ADJ ajst-21787 121 91 and and CCONJ ajst-21787 121 92 odorous odorous ADJ ajst-21787 121 93 normal normal ADJ ajst-21787 121 94 p12 p12 NOUN ajst-21787 121 95 0.0104 0.0104 NUM ajst-21787 121 96 black black ADJ ajst-21787 121 97 and and CCONJ ajst-21787 121 98 odorous odorous ADJ ajst-21787 121 99 normal normal ADJ ajst-21787 121 100 according accord VERB ajst-21787 121 101 to to ADP ajst-21787 121 102 the the DET ajst-21787 121 103 data datum NOUN ajst-21787 121 104 in in ADP ajst-21787 121 105 table table NOUN ajst-21787 121 106 4 4 NUM ajst-21787 121 107 , , PUNCT ajst-21787 121 108 the the DET ajst-21787 121 109 threshold threshold NOUN ajst-21787 121 110 of of ADP ajst-21787 121 111 the the DET ajst-21787 121 112 slope slope NOUN ajst-21787 121 113 index index NOUN ajst-21787 121 114 of of ADP ajst-21787 121 115 the the DET ajst-21787 121 116 black black ADJ ajst-21787 121 117 and and CCONJ ajst-21787 121 118 odorous odorous ADJ ajst-21787 121 119 water water NOUN ajst-21787 121 120 body body NOUN ajst-21787 121 121 is be AUX ajst-21787 121 122 0.00742sr-1 0.00742sr-1 NUM ajst-21787 121 123 , , PUNCT ajst-21787 121 124 and and CCONJ ajst-21787 121 125 one one NUM ajst-21787 121 126 point point NOUN ajst-21787 121 127 in in ADP ajst-21787 121 128 the the DET ajst-21787 121 129 non non ADJ ajst-21787 121 130 - - ADJ ajst-21787 121 131 black black ADJ ajst-21787 121 132 and and CCONJ ajst-21787 121 133 odorous odorous ADJ ajst-21787 121 134 water water NOUN ajst-21787 121 135 body body NOUN ajst-21787 121 136 is be AUX ajst-21787 121 137 misjudged misjudge VERB ajst-21787 121 138 . . PUNCT ajst-21787 122 1 at at ADP ajst-21787 122 2 the the DET ajst-21787 122 3 same same ADJ ajst-21787 122 4 time time NOUN ajst-21787 122 5 , , PUNCT ajst-21787 122 6 there there PRON ajst-21787 122 7 were be VERB ajst-21787 122 8 also also ADV ajst-21787 122 9 two two NUM ajst-21787 122 10 points point NOUN ajst-21787 122 11 in in ADP ajst-21787 122 12 the the DET ajst-21787 122 13 black black ADJ ajst-21787 122 14 and and CCONJ ajst-21787 122 15 odorous odorous ADJ ajst-21787 122 16 water water NOUN ajst-21787 122 17 body body NOUN ajst-21787 122 18 that that PRON ajst-21787 122 19 were be AUX ajst-21787 122 20 misjudged misjudge VERB ajst-21787 122 21 . . PUNCT ajst-21787 123 1 the the DET ajst-21787 123 2 recognition recognition NOUN ajst-21787 123 3 accuracy accuracy NOUN ajst-21787 123 4 of of ADP ajst-21787 123 5 this this DET ajst-21787 123 6 method method NOUN ajst-21787 123 7 is be AUX ajst-21787 123 8 66.67 66.67 NUM ajst-21787 123 9 % % NOUN ajst-21787 123 10 . . PUNCT ajst-21787 124 1 table table NOUN ajst-21787 124 2 5 5 NUM ajst-21787 124 3 . . PUNCT ajst-21787 125 1 verifies verifie NOUN ajst-21787 125 2 sample sample VERB ajst-21787 125 3 values value NOUN ajst-21787 125 4 and and CCONJ ajst-21787 125 5 identification identification NOUN ajst-21787 125 6 results result NOUN ajst-21787 125 7 based base VERB ajst-21787 125 8 on on ADP ajst-21787 125 9 normalized normalize VERB ajst-21787 125 10 black black ADJ ajst-21787 125 11 and and CCONJ ajst-21787 125 12 odorous odorous ADJ ajst-21787 125 13 water water NOUN ajst-21787 125 14 index index NOUN ajst-21787 125 15 point point NOUN ajst-21787 125 16 ndbwi ndbwi VERB ajst-21787 125 17 the the DET ajst-21787 125 18 actual actual ADJ ajst-21787 125 19 black black ADJ ajst-21787 125 20 smell smell NOUN ajst-21787 125 21 calculation calculation NOUN ajst-21787 125 22 result result VERB ajst-21787 125 23 /sr-2 /sr-2 X ajst-21787 125 24 identification identification NOUN ajst-21787 125 25 result result NOUN ajst-21787 125 26 p1 p1 NOUN ajst-21787 125 27 0.1381 0.1381 NUM ajst-21787 125 28 normal normal ADJ ajst-21787 125 29 normal normal ADJ ajst-21787 125 30 p2 p2 NOUN ajst-21787 125 31 0.1401 0.1401 NUM ajst-21787 125 32 normal normal ADJ ajst-21787 125 33 normal normal ADJ ajst-21787 125 34 p3 p3 NOUN ajst-21787 125 35 0.0686 0.0686 NUM ajst-21787 125 36 black black ADJ ajst-21787 125 37 and and CCONJ ajst-21787 125 38 odorous odorous ADJ ajst-21787 125 39 black black ADJ ajst-21787 125 40 and and CCONJ ajst-21787 125 41 odorous odorous ADJ ajst-21787 125 42 p4 p4 ADJ ajst-21787 125 43 0.2061 0.2061 NUM ajst-21787 125 44 normal normal ADJ ajst-21787 125 45 black black ADJ ajst-21787 125 46 and and CCONJ ajst-21787 125 47 odorous odorous ADJ ajst-21787 125 48 p5 p5 ADJ ajst-21787 125 49 0.0712 0.0712 NUM ajst-21787 125 50 black black ADJ ajst-21787 125 51 and and CCONJ ajst-21787 125 52 odorous odorous ADJ ajst-21787 125 53 black black ADJ ajst-21787 125 54 and and CCONJ ajst-21787 125 55 odorous odorous ADJ ajst-21787 125 56 p6 p6 NOUN ajst-21787 125 57 0.0739 0.0739 NUM ajst-21787 125 58 black black ADJ ajst-21787 125 59 and and CCONJ ajst-21787 125 60 odorous odorous ADJ ajst-21787 125 61 black black ADJ ajst-21787 125 62 and and CCONJ ajst-21787 125 63 odorous odorous ADJ ajst-21787 125 64 p7 p7 NOUN ajst-21787 125 65 0.1698 0.1698 NUM ajst-21787 125 66 normal normal ADJ ajst-21787 125 67 black black ADJ ajst-21787 125 68 and and CCONJ ajst-21787 125 69 odorous odorous ADJ ajst-21787 125 70 p8 p8 PROPN ajst-21787 125 71 0.1536 0.1536 NUM ajst-21787 125 72 normal normal ADJ ajst-21787 125 73 normal normal ADJ ajst-21787 125 74 p9 p9 PROPN ajst-21787 125 75 0.4261 0.4261 NUM ajst-21787 125 76 normal normal ADJ ajst-21787 125 77 normal normal ADJ ajst-21787 125 78 p10 p10 NOUN ajst-21787 125 79 0.1246 0.1246 NUM ajst-21787 125 80 black black ADJ ajst-21787 125 81 and and CCONJ ajst-21787 125 82 odorous odorous ADJ ajst-21787 125 83 black black ADJ ajst-21787 125 84 and and CCONJ ajst-21787 125 85 odorous odorous ADJ ajst-21787 125 86 p11 p11 NOUN ajst-21787 125 87 0.1091 0.1091 NUM ajst-21787 125 88 black black ADJ ajst-21787 125 89 and and CCONJ ajst-21787 125 90 odorous odorous ADJ ajst-21787 125 91 normal normal ADJ ajst-21787 125 92 p12 p12 VERB ajst-21787 125 93 0.0062 0.0062 NUM ajst-21787 125 94 normal normal ADJ ajst-21787 125 95 normal normal ADJ ajst-21787 125 96 according accord VERB ajst-21787 125 97 to to ADP ajst-21787 125 98 the the DET ajst-21787 125 99 data datum NOUN ajst-21787 125 100 in in ADP ajst-21787 125 101 table table NOUN ajst-21787 125 102 5 5 NUM ajst-21787 125 103 , , PUNCT ajst-21787 125 104 the the DET ajst-21787 125 105 threshold threshold NOUN ajst-21787 125 106 values value NOUN ajst-21787 125 107 of of ADP ajst-21787 125 108 the the DET ajst-21787 125 109 two two NUM ajst-21787 125 110 intervals interval NOUN ajst-21787 125 111 selected select VERB ajst-21787 125 112 by by ADP ajst-21787 125 113 this this DET ajst-21787 125 114 method method NOUN ajst-21787 125 115 in in ADP ajst-21787 125 116 the the DET ajst-21787 125 117 pattern pattern NOUN ajst-21787 125 118 book book NOUN ajst-21787 125 119 are be AUX ajst-21787 125 120 0.008 0.008 NUM ajst-21787 125 121 and and CCONJ ajst-21787 125 122 0.137 0.137 NUM ajst-21787 125 123 , , PUNCT ajst-21787 125 124 that that ADV ajst-21787 125 125 is is ADV ajst-21787 125 126 , , PUNCT ajst-21787 125 127 the the DET ajst-21787 125 128 calculated calculate VERB ajst-21787 125 129 results result NOUN ajst-21787 125 130 are be AUX ajst-21787 125 131 identified identify VERB ajst-21787 125 132 as as ADP ajst-21787 125 133 black black ADJ ajst-21787 125 134 and and CCONJ ajst-21787 125 135 odorous odorous ADJ ajst-21787 125 136 water water NOUN ajst-21787 125 137 bodies body NOUN ajst-21787 125 138 within within ADP ajst-21787 125 139 the the DET ajst-21787 125 140 interval interval NOUN ajst-21787 125 141 . . PUNCT ajst-21787 126 1 specifically specifically ADV ajst-21787 126 2 , , PUNCT ajst-21787 126 3 there there PRON ajst-21787 126 4 are be VERB ajst-21787 126 5 1 1 NUM ajst-21787 126 6 point point NOUN ajst-21787 126 7 misjudgment misjudgment NOUN ajst-21787 126 8 in in ADP ajst-21787 126 9 normal normal ADJ ajst-21787 126 10 water water NOUN ajst-21787 126 11 and and CCONJ ajst-21787 126 12 2 2 NUM ajst-21787 126 13 misjudgments misjudgment NOUN ajst-21787 126 14 in in ADP ajst-21787 126 15 black black ADJ ajst-21787 126 16 and and CCONJ ajst-21787 126 17 odorous odorous ADJ ajst-21787 126 18 water water NOUN ajst-21787 126 19 , , PUNCT ajst-21787 126 20 and and CCONJ ajst-21787 126 21 the the DET ajst-21787 126 22 model model NOUN ajst-21787 126 23 accuracy accuracy NOUN ajst-21787 126 24 of of ADP ajst-21787 126 25 normalized normalize VERB ajst-21787 126 26 black black ADJ ajst-21787 126 27 and and CCONJ ajst-21787 126 28 odorous odorous ADJ ajst-21787 126 29 water water NOUN ajst-21787 126 30 index index NOUN ajst-21787 126 31 is be AUX ajst-21787 126 32 0.75 0.75 NUM ajst-21787 126 33 . . PUNCT ajst-21787 127 1 the the DET ajst-21787 127 2 identification identification NOUN ajst-21787 127 3 accuracy accuracy NOUN ajst-21787 127 4 of of ADP ajst-21787 127 5 index index NOUN ajst-21787 127 6 ndbwi ndbwi VERB ajst-21787 127 7 and and CCONJ ajst-21787 127 8 dbwi dbwi ADJ ajst-21787 127 9 is be AUX ajst-21787 127 10 high high ADJ ajst-21787 127 11 through through ADP ajst-21787 127 12 this this DET ajst-21787 127 13 verification verification NOUN ajst-21787 127 14 method method NOUN ajst-21787 127 15 . . PUNCT ajst-21787 128 1 this this PRON ajst-21787 128 2 indicates indicate VERB ajst-21787 128 3 that that SCONJ ajst-21787 128 4 the the DET ajst-21787 128 5 thresholds threshold NOUN ajst-21787 128 6 of of ADP ajst-21787 128 7 the the DET ajst-21787 128 8 two two NUM ajst-21787 128 9 methods method NOUN ajst-21787 128 10 are be AUX ajst-21787 128 11 stable stable ADJ ajst-21787 128 12 in in ADP ajst-21787 128 13 this this DET ajst-21787 128 14 study study NOUN ajst-21787 128 15 area area NOUN ajst-21787 128 16 . . PUNCT ajst-21787 129 1 however however ADV ajst-21787 129 2 , , PUNCT ajst-21787 129 3 slope slope NOUN ajst-21787 129 4 method method NOUN ajst-21787 129 5 and and CCONJ ajst-21787 129 6 single single ADJ ajst-21787 129 7 band band NOUN ajst-21787 129 8 algorithm algorithm NOUN ajst-21787 129 9 need need VERB ajst-21787 129 10 to to PART ajst-21787 129 11 adjust adjust VERB ajst-21787 129 12 the the DET ajst-21787 129 13 partition partition NOUN ajst-21787 129 14 threshold threshold NOUN ajst-21787 129 15 to to PART ajst-21787 129 16 adapt adapt VERB ajst-21787 129 17 to to ADP ajst-21787 129 18 different different ADJ ajst-21787 129 19 data datum NOUN ajst-21787 129 20 sets set NOUN ajst-21787 129 21 and and CCONJ ajst-21787 129 22 study study NOUN ajst-21787 129 23 areas area NOUN ajst-21787 129 24 . . PUNCT ajst-21787 130 1 191 191 NUM ajst-21787 130 2 5 5 NUM ajst-21787 130 3 . . PUNCT ajst-21787 130 4 discussion discussion NOUN ajst-21787 130 5 5.1 5.1 NUM ajst-21787 130 6 . . PUNCT ajst-21787 131 1 analysis analysis NOUN ajst-21787 131 2 of of ADP ajst-21787 131 3 the the DET ajst-21787 131 4 causes cause NOUN ajst-21787 131 5 of of ADP ajst-21787 131 6 identification identification NOUN ajst-21787 131 7 errors error NOUN ajst-21787 131 8 by by ADP ajst-21787 131 9 different different ADJ ajst-21787 131 10 algorithms algorithm NOUN ajst-21787 131 11 table table NOUN ajst-21787 131 12 2 2 NUM ajst-21787 131 13 , , PUNCT ajst-21787 131 14 table table NOUN ajst-21787 131 15 3 3 NUM ajst-21787 131 16 , , PUNCT ajst-21787 131 17 table table NOUN ajst-21787 131 18 4 4 NUM ajst-21787 131 19 and and CCONJ ajst-21787 131 20 table table NOUN ajst-21787 131 21 5 5 NUM ajst-21787 131 22 are be AUX ajst-21787 131 23 the the DET ajst-21787 131 24 discrimination discrimination NOUN ajst-21787 131 25 results result NOUN ajst-21787 131 26 of of ADP ajst-21787 131 27 four four NUM ajst-21787 131 28 different different ADJ ajst-21787 131 29 black black ADJ ajst-21787 131 30 and and CCONJ ajst-21787 131 31 odorous odorous ADJ ajst-21787 131 32 water water NOUN ajst-21787 131 33 body body NOUN ajst-21787 131 34 identification identification NOUN ajst-21787 131 35 algorithms algorithm NOUN ajst-21787 131 36 to to PART ajst-21787 131 37 verify verify VERB ajst-21787 131 38 whether whether SCONJ ajst-21787 131 39 the the DET ajst-21787 131 40 sample sample NOUN ajst-21787 131 41 points point NOUN ajst-21787 131 42 are be AUX ajst-21787 131 43 black black ADJ ajst-21787 131 44 and and CCONJ ajst-21787 131 45 odorous odorous ADJ ajst-21787 131 46 . . PUNCT ajst-21787 132 1 the the DET ajst-21787 132 2 identification identification NOUN ajst-21787 132 3 accuracy accuracy NOUN ajst-21787 132 4 of of ADP ajst-21787 132 5 each each DET ajst-21787 132 6 method method NOUN ajst-21787 132 7 is be AUX ajst-21787 132 8 obtained obtain VERB ajst-21787 132 9 by by ADP ajst-21787 132 10 calculating calculate VERB ajst-21787 132 11 and and CCONJ ajst-21787 132 12 analyzing analyze VERB ajst-21787 132 13 the the DET ajst-21787 132 14 data datum NOUN ajst-21787 132 15 in in ADP ajst-21787 132 16 the the DET ajst-21787 132 17 table table NOUN ajst-21787 132 18 . . PUNCT ajst-21787 133 1 the the DET ajst-21787 133 2 single single ADJ ajst-21787 133 3 - - PUNCT ajst-21787 133 4 band band NOUN ajst-21787 133 5 threshold threshold NOUN ajst-21787 133 6 method method NOUN ajst-21787 133 7 and and CCONJ ajst-21787 133 8 dbwi dbwi ADJ ajst-21787 133 9 method method NOUN ajst-21787 133 10 proved prove VERB ajst-21787 133 11 great great ADJ ajst-21787 133 12 errors error NOUN ajst-21787 133 13 in in ADP ajst-21787 133 14 the the DET ajst-21787 133 15 identification identification NOUN ajst-21787 133 16 of of ADP ajst-21787 133 17 non non ADJ ajst-21787 133 18 - - ADJ ajst-21787 133 19 black black ADJ ajst-21787 133 20 and and CCONJ ajst-21787 133 21 odorous odorous ADJ ajst-21787 133 22 water water NOUN ajst-21787 133 23 bodies body NOUN ajst-21787 133 24 . . PUNCT ajst-21787 134 1 combined combine VERB ajst-21787 134 2 with with ADP ajst-21787 134 3 the the DET ajst-21787 134 4 water water NOUN ajst-21787 134 5 quality quality NOUN ajst-21787 134 6 information information NOUN ajst-21787 134 7 of of ADP ajst-21787 134 8 yongjiang yongjiang PROPN ajst-21787 134 9 river river PROPN ajst-21787 134 10 obtained obtain VERB ajst-21787 134 11 from from ADP ajst-21787 134 12 field field NOUN ajst-21787 134 13 tests test NOUN ajst-21787 134 14 , , PUNCT ajst-21787 134 15 the the DET ajst-21787 134 16 water water NOUN ajst-21787 134 17 quality quality NOUN ajst-21787 134 18 of of ADP ajst-21787 134 19 yongjiang yongjiang PROPN ajst-21787 134 20 river river PROPN ajst-21787 134 21 was be AUX ajst-21787 134 22 normal normal ADJ ajst-21787 134 23 and and CCONJ ajst-21787 134 24 no no DET ajst-21787 134 25 black black ADJ ajst-21787 134 26 and and CCONJ ajst-21787 134 27 odorous odorous ADJ ajst-21787 134 28 occurred occur VERB ajst-21787 134 29 . . PUNCT ajst-21787 135 1 the the DET ajst-21787 135 2 above above ADJ ajst-21787 135 3 misclassification misclassification NOUN ajst-21787 135 4 phenomenon phenomenon NOUN ajst-21787 135 5 was be AUX ajst-21787 135 6 analyzed analyze VERB ajst-21787 135 7 for for ADP ajst-21787 135 8 the the DET ajst-21787 135 9 following follow VERB ajst-21787 135 10 reasons reason NOUN ajst-21787 135 11 . . PUNCT ajst-21787 136 1 after after ADP ajst-21787 136 2 atmospheric atmospheric ADJ ajst-21787 136 3 correction correction NOUN ajst-21787 136 4 , , PUNCT ajst-21787 136 5 the the DET ajst-21787 136 6 blue blue ADJ ajst-21787 136 7 wavelength wavelength NOUN ajst-21787 136 8 is be AUX ajst-21787 136 9 still still ADV ajst-21787 136 10 affected affect VERB ajst-21787 136 11 by by ADP ajst-21787 136 12 the the DET ajst-21787 136 13 atmosphere atmosphere NOUN ajst-21787 136 14 , , PUNCT ajst-21787 136 15 and and CCONJ ajst-21787 136 16 the the DET ajst-21787 136 17 remote remote ADJ ajst-21787 136 18 sensing sense VERB ajst-21787 136 19 reflectance reflectance NOUN ajst-21787 136 20 of of ADP ajst-21787 136 21 the the DET ajst-21787 136 22 blue blue ADJ ajst-21787 136 23 wavelength wavelength NOUN ajst-21787 136 24 in in ADP ajst-21787 136 25 the the DET ajst-21787 136 26 image image NOUN ajst-21787 136 27 shows show VERB ajst-21787 136 28 some some DET ajst-21787 136 29 uncertainty uncertainty NOUN ajst-21787 136 30 and and CCONJ ajst-21787 136 31 lacks lack VERB ajst-21787 136 32 obvious obvious ADJ ajst-21787 136 33 rules rule NOUN ajst-21787 136 34 . . PUNCT ajst-21787 137 1 the the DET ajst-21787 137 2 calculations calculation NOUN ajst-21787 137 3 for for ADP ajst-21787 137 4 both both CCONJ ajst-21787 137 5 dbwi dbwi ADJ ajst-21787 137 6 and and CCONJ ajst-21787 137 7 sbwi sbwi VERB ajst-21787 137 8 rely rely VERB ajst-21787 137 9 on on ADP ajst-21787 137 10 sentinel-2 sentinel-2 ADJ ajst-21787 137 11 's 's PART ajst-21787 137 12 blue blue ADJ ajst-21787 137 13 band band NOUN ajst-21787 137 14 . . PUNCT ajst-21787 138 1 due due ADP ajst-21787 138 2 to to ADP ajst-21787 138 3 the the DET ajst-21787 138 4 effect effect NOUN ajst-21787 138 5 of of ADP ajst-21787 138 6 atmospheric atmospheric ADJ ajst-21787 138 7 correction correction NOUN ajst-21787 138 8 in in ADP ajst-21787 138 9 blue blue ADJ ajst-21787 138 10 light light ADJ ajst-21787 138 11 band band NOUN ajst-21787 138 12 , , PUNCT ajst-21787 138 13 the the DET ajst-21787 138 14 calculated calculate VERB ajst-21787 138 15 results result NOUN ajst-21787 138 16 of of ADP ajst-21787 138 17 these these DET ajst-21787 138 18 two two NUM ajst-21787 138 19 indices index NOUN ajst-21787 138 20 are be AUX ajst-21787 138 21 biased bias VERB ajst-21787 138 22 . . PUNCT ajst-21787 139 1 5.2 5.2 NUM ajst-21787 139 2 . . PUNCT ajst-21787 140 1 algorithm algorithm NOUN ajst-21787 140 2 applicability applicability NOUN ajst-21787 140 3 analysis analysis NOUN ajst-21787 140 4 and and CCONJ ajst-21787 140 5 optimal optimal ADJ ajst-21787 140 6 algorithm algorithm NOUN ajst-21787 140 7 screening screen VERB ajst-21787 140 8 the the DET ajst-21787 140 9 single single ADJ ajst-21787 140 10 - - PUNCT ajst-21787 140 11 band band NOUN ajst-21787 140 12 method method NOUN ajst-21787 140 13 is be AUX ajst-21787 140 14 mainly mainly ADV ajst-21787 140 15 based base VERB ajst-21787 140 16 on on ADP ajst-21787 140 17 reflectance reflectance NOUN ajst-21787 140 18 values value NOUN ajst-21787 140 19 of of ADP ajst-21787 140 20 specific specific ADJ ajst-21787 140 21 bands band NOUN ajst-21787 140 22 in in ADP ajst-21787 140 23 remote remote ADJ ajst-21787 140 24 sensing sensing NOUN ajst-21787 140 25 images image NOUN ajst-21787 140 26 to to PART ajst-21787 140 27 identify identify VERB ajst-21787 140 28 black black ADJ ajst-21787 140 29 and and CCONJ ajst-21787 140 30 odorous odorous ADJ ajst-21787 140 31 water water NOUN ajst-21787 140 32 bodies body NOUN ajst-21787 140 33 . . PUNCT ajst-21787 141 1 taking take VERB ajst-21787 141 2 the the DET ajst-21787 141 3 green green ADJ ajst-21787 141 4 band band NOUN ajst-21787 141 5 of of ADP ajst-21787 141 6 sentinel-2 sentinel-2 ADJ ajst-21787 141 7 data datum NOUN ajst-21787 141 8 as as ADP ajst-21787 141 9 an an DET ajst-21787 141 10 example example NOUN ajst-21787 141 11 , , PUNCT ajst-21787 141 12 the the DET ajst-21787 141 13 band band NOUN ajst-21787 141 14 is be AUX ajst-21787 141 15 highly highly ADV ajst-21787 141 16 sensitive sensitive ADJ ajst-21787 141 17 to to ADP ajst-21787 141 18 suspended suspend VERB ajst-21787 141 19 substances substance NOUN ajst-21787 141 20 and and CCONJ ajst-21787 141 21 chlorophyll chlorophyll NOUN ajst-21787 141 22 in in ADP ajst-21787 141 23 water water NOUN ajst-21787 141 24 , , PUNCT ajst-21787 141 25 so so SCONJ ajst-21787 141 26 it it PRON ajst-21787 141 27 can can AUX ajst-21787 141 28 reflect reflect VERB ajst-21787 141 29 key key ADJ ajst-21787 141 30 information information NOUN ajst-21787 141 31 such such ADJ ajst-21787 141 32 as as ADP ajst-21787 141 33 turbidity turbidity NOUN ajst-21787 141 34 and and CCONJ ajst-21787 141 35 chlorophyll chlorophyll NOUN ajst-21787 141 36 content content NOUN ajst-21787 141 37 of of ADP ajst-21787 141 38 water water NOUN ajst-21787 141 39 bodies body NOUN ajst-21787 141 40 . . PUNCT ajst-21787 142 1 by by ADP ajst-21787 142 2 setting set VERB ajst-21787 142 3 thresholds threshold NOUN ajst-21787 142 4 scientifically scientifically ADV ajst-21787 142 5 , , PUNCT ajst-21787 142 6 this this DET ajst-21787 142 7 study study NOUN ajst-21787 142 8 can can AUX ajst-21787 142 9 identify identify VERB ajst-21787 142 10 black black ADJ ajst-21787 142 11 and and CCONJ ajst-21787 142 12 odorous odorous ADJ ajst-21787 142 13 water water NOUN ajst-21787 142 14 bodies body NOUN ajst-21787 142 15 with with ADP ajst-21787 142 16 relative relative ADJ ajst-21787 142 17 accuracy accuracy NOUN ajst-21787 142 18 . . PUNCT ajst-21787 143 1 however however ADV ajst-21787 143 2 , , PUNCT ajst-21787 143 3 the the DET ajst-21787 143 4 single single ADJ ajst-21787 143 5 band band NOUN ajst-21787 143 6 method method NOUN ajst-21787 143 7 does do AUX ajst-21787 143 8 face face VERB ajst-21787 143 9 certain certain ADJ ajst-21787 143 10 limitations limitation NOUN ajst-21787 143 11 in in ADP ajst-21787 143 12 practical practical ADJ ajst-21787 143 13 application application NOUN ajst-21787 143 14 . . PUNCT ajst-21787 144 1 when when SCONJ ajst-21787 144 2 encountering encounter VERB ajst-21787 144 3 water water NOUN ajst-21787 144 4 bodies body NOUN ajst-21787 144 5 with with ADP ajst-21787 144 6 overlapping overlap VERB ajst-21787 144 7 spectral spectral ADJ ajst-21787 144 8 ranges range NOUN ajst-21787 144 9 , , PUNCT ajst-21787 144 10 a a DET ajst-21787 144 11 single single ADJ ajst-21787 144 12 threshold threshold NOUN ajst-21787 144 13 setting setting NOUN ajst-21787 144 14 is be AUX ajst-21787 144 15 often often ADV ajst-21787 144 16 difficult difficult ADJ ajst-21787 144 17 to to PART ajst-21787 144 18 ensure ensure VERB ajst-21787 144 19 accurate accurate ADJ ajst-21787 144 20 differentiation differentiation NOUN ajst-21787 144 21 , , PUNCT ajst-21787 144 22 which which PRON ajst-21787 144 23 may may AUX ajst-21787 144 24 lead lead VERB ajst-21787 144 25 to to PART ajst-21787 144 26 bias bias VERB ajst-21787 144 27 in in ADP ajst-21787 144 28 identification identification NOUN ajst-21787 144 29 results result NOUN ajst-21787 144 30 . . PUNCT ajst-21787 145 1 in in ADP ajst-21787 145 2 this this DET ajst-21787 145 3 study study NOUN ajst-21787 145 4 , , PUNCT ajst-21787 145 5 it it PRON ajst-21787 145 6 has have AUX ajst-21787 145 7 been be AUX ajst-21787 145 8 verified verify VERB ajst-21787 145 9 that that SCONJ ajst-21787 145 10 the the DET ajst-21787 145 11 ndbwi ndbwi VERB ajst-21787 145 12 shows show VERB ajst-21787 145 13 a a DET ajst-21787 145 14 certain certain ADJ ajst-21787 145 15 accuracy accuracy NOUN ajst-21787 145 16 and and CCONJ ajst-21787 145 17 stability stability NOUN ajst-21787 145 18 in in ADP ajst-21787 145 19 identifying identify VERB ajst-21787 145 20 the the DET ajst-21787 145 21 black black ADJ ajst-21787 145 22 and and CCONJ ajst-21787 145 23 odorous odorous ADJ ajst-21787 145 24 states state NOUN ajst-21787 145 25 of of ADP ajst-21787 145 26 the the DET ajst-21787 145 27 modeling modeling NOUN ajst-21787 145 28 sample sample NOUN ajst-21787 145 29 points point NOUN ajst-21787 145 30 and and CCONJ ajst-21787 145 31 the the DET ajst-21787 145 32 verification verification NOUN ajst-21787 145 33 sample sample NOUN ajst-21787 145 34 points point NOUN ajst-21787 145 35 . . PUNCT ajst-21787 146 1 among among ADP ajst-21787 146 2 the the DET ajst-21787 146 3 four four NUM ajst-21787 146 4 methods method NOUN ajst-21787 146 5 , , PUNCT ajst-21787 146 6 ndbwi ndbwi VERB ajst-21787 146 7 can can AUX ajst-21787 146 8 be be AUX ajst-21787 146 9 used use VERB ajst-21787 146 10 as as ADP ajst-21787 146 11 the the DET ajst-21787 146 12 primary primary ADJ ajst-21787 146 13 algorithm algorithm NOUN ajst-21787 146 14 to to PART ajst-21787 146 15 identify identify VERB ajst-21787 146 16 black black ADJ ajst-21787 146 17 and and CCONJ ajst-21787 146 18 odorous odorous ADJ ajst-21787 146 19 water water NOUN ajst-21787 146 20 bodies body NOUN ajst-21787 146 21 , , PUNCT ajst-21787 146 22 and and CCONJ ajst-21787 146 23 ndbwi ndbwi ADJ ajst-21787 146 24 index index NOUN ajst-21787 146 25 plays play VERB ajst-21787 146 26 a a DET ajst-21787 146 27 certain certain ADJ ajst-21787 146 28 role role NOUN ajst-21787 146 29 in in ADP ajst-21787 146 30 the the DET ajst-21787 146 31 extraction extraction NOUN ajst-21787 146 32 of of ADP ajst-21787 146 33 black black ADJ ajst-21787 146 34 and and CCONJ ajst-21787 146 35 odorous odorous ADJ ajst-21787 146 36 water water NOUN ajst-21787 146 37 bodies body NOUN ajst-21787 146 38 in in ADP ajst-21787 146 39 builtup builtup ADJ ajst-21787 146 40 areas area NOUN ajst-21787 146 41 of of ADP ajst-21787 146 42 nanning nanning PROPN ajst-21787 146 43 city city PROPN ajst-21787 146 44 . . PUNCT ajst-21787 147 1 references reference NOUN ajst-21787 147 2 [ [ X ajst-21787 147 3 1 1 NUM ajst-21787 147 4 ] ] PUNCT ajst-21787 147 5 issued issue VERB ajst-21787 147 6 by by ADP ajst-21787 147 7 the the DET ajst-21787 147 8 central central ADJ ajst-21787 147 9 people people NOUN ajst-21787 147 10 's 's PART ajst-21787 147 11 government government NOUN ajst-21787 147 12 of of ADP ajst-21787 147 13 the the DET ajst-21787 147 14 people people NOUN ajst-21787 147 15 's 's PART ajst-21787 147 16 republic republic NOUN ajst-21787 147 17 of of ADP ajst-21787 147 18 china china PROPN ajst-21787 147 19 , , PUNCT ajst-21787 147 20 the the DET ajst-21787 147 21 state state NOUN ajst-21787 147 22 council council PROPN ajst-21787 147 23 on on ADP ajst-21787 147 24 water water NOUN ajst-21787 147 25 pollution pollution NOUN ajst-21787 147 26 prevention prevention NOUN ajst-21787 147 27 plan plan NOUN ajst-21787 147 28 of of ADP ajst-21787 147 29 action action NOUN ajst-21787 147 30 to to PART ajst-21787 147 31 inform inform VERB ajst-21787 147 32 [ [ X ajst-21787 147 33 eb eb PROPN ajst-21787 147 34 / / SYM ajst-21787 147 35 ol ol PROPN ajst-21787 147 36 ] ] PUNCT ajst-21787 147 37 . . PUNCT ajst-21787 148 1 [ [ X ajst-21787 148 2 2015 2015 NUM ajst-21787 148 3 - - SYM ajst-21787 148 4 4 4 NUM ajst-21787 148 5 - - NUM ajst-21787 148 6 16 16 NUM ajst-21787 148 7 ] ] PUNCT ajst-21787 148 8 . . PUNCT ajst-21787 149 1 http://www.gov.cn/zhengce/content/201504/16/content_9613.htm http://www.gov.cn/zhengce/content/201504/16/content_9613.htm X ajst-21787 149 2 . . PUNCT ajst-21787 150 1 [ [ X ajst-21787 150 2 2 2 NUM ajst-21787 150 3 ] ] X ajst-21787 150 4 wen wen PROPN ajst-21787 150 5 shuang shuang PROPN ajst-21787 150 6 . . PROPN ajst-21787 151 1 urban urban ADJ ajst-21787 151 2 black black ADJ ajst-21787 151 3 and and CCONJ ajst-21787 151 4 odorous odorous ADJ ajst-21787 151 5 water water NOUN ajst-21787 151 6 body body NOUN ajst-21787 151 7 recognition recognition NOUN ajst-21787 151 8 by by ADP ajst-21787 151 9 remote remote ADJ ajst-21787 151 10 sensing sensing NOUN ajst-21787 151 11 based base VERB ajst-21787 151 12 on on ADP ajst-21787 151 13 gf-2 gf-2 X ajst-21787 151 14 image image NOUN ajst-21787 152 1 [ [ X ajst-21787 152 2 d d X ajst-21787 152 3 ] ] X ajst-21787 152 4 . . PUNCT ajst-21787 153 1 nanjing nanjing PROPN ajst-21787 153 2 : : PUNCT ajst-21787 153 3 nanjing nanjing PROPN ajst-21787 153 4 normal normal ADJ ajst-21787 153 5 university university NOUN ajst-21787 153 6 , , PUNCT ajst-21787 153 7 2018 2018 NUM ajst-21787 153 8 . . PUNCT ajst-21787 154 1 [ [ X ajst-21787 154 2 3 3 X ajst-21787 154 3 ] ] X ajst-21787 154 4 yao yao PROPN ajst-21787 154 5 y. y. PROPN ajst-21787 154 6 research research PROPN ajst-21787 154 7 on on ADP ajst-21787 154 8 urban urban ADJ ajst-21787 154 9 black black ADJ ajst-21787 154 10 and and CCONJ ajst-21787 154 11 odorous odorous ADJ ajst-21787 154 12 water water NOUN ajst-21787 154 13 body body NOUN ajst-21787 154 14 recognition recognition NOUN ajst-21787 154 15 model model NOUN ajst-21787 154 16 based base VERB ajst-21787 154 17 on on ADP ajst-21787 154 18 gf gf PROPN ajst-21787 154 19 multispectral multispectral ADJ ajst-21787 154 20 image image NOUN ajst-21787 155 1 [ [ X ajst-21787 155 2 d d X ajst-21787 155 3 ] ] X ajst-21787 155 4 . . PUNCT ajst-21787 156 1 lanzhou lanzhou PROPN ajst-21787 156 2 : : PUNCT ajst-21787 157 1 lanzhou lanzhou PROPN ajst-21787 157 2 jiaotong jiaotong VERB ajst-21787 157 3 university,2018 university,2018 NOUN ajst-21787 157 4 . . PUNCT ajst-21787 158 1 [ [ X ajst-21787 158 2 4 4 NUM ajst-21787 158 3 ] ] X ajst-21787 158 4 li li PROPN ajst-21787 158 5 jiaqi jiaqi PROPN ajst-21787 158 6 , , PUNCT ajst-21787 158 7 li li PROPN ajst-21787 158 8 jiaguo jiaguo PROPN ajst-21787 158 9 , , PUNCT ajst-21787 158 10 zhu zhu PROPN ajst-21787 158 11 li li PROPN ajst-21787 158 12 , , PUNCT ajst-21787 158 13 et et PROPN ajst-21787 158 14 al al PROPN ajst-21787 158 15 . . PUNCT ajst-21787 158 16 identification identification NOUN ajst-21787 158 17 and and CCONJ ajst-21787 158 18 ground ground NOUN ajst-21787 158 19 verification verification NOUN ajst-21787 158 20 of of ADP ajst-21787 158 21 black black ADJ ajst-21787 158 22 and and CCONJ ajst-21787 158 23 odorous odorous ADJ ajst-21787 158 24 water water NOUN ajst-21787 158 25 by by ADP ajst-21787 158 26 remote remote ADJ ajst-21787 158 27 sensing sensing NOUN ajst-21787 158 28 in in ADP ajst-21787 158 29 taiyuan taiyuan PROPN ajst-21787 158 30 [ [ X ajst-21787 158 31 j j X ajst-21787 158 32 ] ] X ajst-21787 158 33 . . PUNCT ajst-21787 159 1 journal journal PROPN ajst-21787 159 2 of of ADP ajst-21787 159 3 remote remote ADJ ajst-21787 159 4 sensing,2019 sensing,2019 NOUN ajst-21787 159 5 , , PUNCT ajst-21787 159 6 23 23 NUM ajst-21787 159 7 ( ( PUNCT ajst-21787 159 8 4 4 NUM ajst-21787 159 9 ) ) PUNCT ajst-21787 159 10 : : PUNCT ajst-21787 159 11 773 773 NUM ajst-21787 159 12 - - SYM ajst-21787 159 13 784 784 NUM ajst-21787 159 14 . . PUNCT ajst-21787 160 1 [ [ X ajst-21787 160 2 5 5 NUM ajst-21787 160 3 ] ] X ajst-21787 160 4 zhang zhang PROPN ajst-21787 160 5 xue xue PROPN ajst-21787 160 6 , , PUNCT ajst-21787 160 7 lai lai PROPN ajst-21787 160 8 ji ji PROPN ajst-21787 160 9 bao bao PROPN ajst-21787 160 10 , , PUNCT ajst-21787 160 11 li li PROPN ajst-21787 160 12 jiaguo jiaguo PROPN ajst-21787 160 13 , , PUNCT ajst-21787 160 14 et et PROPN ajst-21787 160 15 al al PROPN ajst-21787 160 16 . . PROPN ajst-21787 160 17 remote remote ADJ ajst-21787 160 18 sensing sense VERB ajst-21787 160 19 identification identification NOUN ajst-21787 160 20 of of ADP ajst-21787 160 21 black black ADJ ajst-21787 160 22 and and CCONJ ajst-21787 160 23 odorous odorous ADJ ajst-21787 160 24 water water NOUN ajst-21787 160 25 bodies body NOUN ajst-21787 160 26 in in ADP ajst-21787 160 27 shenzhen shenzhen PROPN ajst-21787 160 28 based base VERB ajst-21787 160 29 on on ADP ajst-21787 160 30 gaofen-1 gaofen-1 NUM ajst-21787 160 31 image image NOUN ajst-21787 160 32 [ [ X ajst-21787 160 33 j j X ajst-21787 160 34 ] ] X ajst-21787 160 35 . . PUNCT ajst-21787 161 1 science science NOUN ajst-21787 161 2 technology technology NOUN ajst-21787 161 3 and and CCONJ ajst-21787 161 4 engineering engineering NOUN ajst-21787 161 5 , , PUNCT ajst-21787 161 6 2019 2019 NUM ajst-21787 161 7 , , PUNCT ajst-21787 161 8 19(04 19(04 NUM ajst-21787 161 9 ): ): PUNCT ajst-21787 161 10 268 268 NUM ajst-21787 161 11 - - SYM ajst-21787 161 12 274 274 NUM ajst-21787 161 13 . . PUNCT ajst-21787 162 1 [ [ X ajst-21787 162 2 6 6 NUM ajst-21787 162 3 ] ] PUNCT ajst-21787 162 4 yao yao PROPN ajst-21787 162 5 huanmei huanmei PROPN ajst-21787 162 6 , , PUNCT ajst-21787 162 7 lu lu PROPN ajst-21787 162 8 yannan yannan NOUN ajst-21787 162 9 , , PUNCT ajst-21787 162 10 gong gong PROPN ajst-21787 162 11 zhuqing zhuqe VERB ajst-21787 162 12 . . PUNCT ajst-21787 163 1 research research NOUN ajst-21787 163 2 on on ADP ajst-21787 163 3 black black ADJ ajst-21787 163 4 and and CCONJ ajst-21787 163 5 odorous odorous ADJ ajst-21787 163 6 water water NOUN ajst-21787 163 7 body body NOUN ajst-21787 163 8 identification identification NOUN ajst-21787 163 9 method method NOUN ajst-21787 163 10 based base VERB ajst-21787 163 11 on on ADP ajst-21787 163 12 planetscope planetscope NOUN ajst-21787 163 13 image image NOUN ajst-21787 163 14 in in ADP ajst-21787 163 15 qinzhou qinzhou NOUN ajst-21787 163 16 , , PUNCT ajst-21787 163 17 guangxi guangxi PROPN ajst-21787 164 1 [ [ X ajst-21787 164 2 j j X ajst-21787 164 3 ] ] X ajst-21787 164 4 . . PUNCT ajst-21787 165 1 environmental environmental ADJ ajst-21787 165 2 engineering engineering NOUN ajst-21787 165 3 , , PUNCT ajst-21787 165 4 2019 2019 NUM ajst-21787 165 5 , , PUNCT ajst-21787 165 6 37(10 37(10 NUM ajst-21787 165 7 ): ): PUNCT ajst-21787 165 8 35 35 NUM ajst-21787 165 9 - - SYM ajst-21787 165 10 43 43 NUM ajst-21787 165 11 . . PUNCT ajst-21787 166 1 [ [ X ajst-21787 166 2 7 7 NUM ajst-21787 166 3 ] ] SYM ajst-21787 166 4 seven seven NUM ajst-21787 166 5 ke ke NOUN ajst-21787 166 6 ke ke PROPN ajst-21787 166 7 , , PUNCT ajst-21787 166 8 shen shen PROPN ajst-21787 166 9 qian qian PROPN ajst-21787 166 10 , , PUNCT ajst-21787 166 11 luo luo PROPN ajst-21787 166 12 xiaojun xiaojun PROPN ajst-21787 166 13 , , PUNCT ajst-21787 166 14 et et PROPN ajst-21787 166 15 al al PROPN ajst-21787 166 16 . . PROPN ajst-21787 167 1 remote remote ADJ ajst-21787 167 2 sensing sense VERB ajst-21787 167 3 classification classification NOUN ajst-21787 167 4 of of ADP ajst-21787 167 5 black black ADJ ajst-21787 167 6 and and CCONJ ajst-21787 167 7 odorous odorous ADJ ajst-21787 167 8 water water NOUN ajst-21787 167 9 bodies body NOUN ajst-21787 167 10 in in ADP ajst-21787 167 11 shenyang shenyang PROPN ajst-21787 167 12 based base VERB ajst-21787 167 13 on on ADP ajst-21787 167 14 gf-2 gf-2 X ajst-21787 167 15 image image NOUN ajst-21787 168 1 [ [ X ajst-21787 168 2 j j X ajst-21787 168 3 ] ] X ajst-21787 168 4 . . PUNCT ajst-21787 169 1 remote remote ADJ ajst-21787 169 2 sensing sense VERB ajst-21787 169 3 technology technology NOUN ajst-21787 169 4 and and CCONJ ajst-21787 169 5 application application NOUN ajst-21787 169 6 , , PUNCT ajst-21787 169 7 2020 2020 NUM ajst-21787 169 8 , , PUNCT ajst-21787 169 9 35(2 35(2 NUM ajst-21787 169 10 ): ): PUNCT ajst-21787 169 11 424 424 NUM ajst-21787 169 12 - - SYM ajst-21787 169 13 434 434 NUM ajst-21787 169 14 . . PUNCT ajst-21787 170 1 [ [ X ajst-21787 170 2 8 8 NUM ajst-21787 170 3 ] ] X ajst-21787 170 4 gao gao PROPN ajst-21787 170 5 li li PROPN ajst-21787 170 6 , , PUNCT ajst-21787 170 7 zhang zhang PROPN ajst-21787 170 8 lulu lulu PROPN ajst-21787 170 9 , , PUNCT ajst-21787 170 10 leaf leaf NOUN ajst-21787 170 11 vein vein NOUN ajst-21787 170 12 , , PUNCT ajst-21787 170 13 et et PROPN ajst-21787 170 14 al al PROPN ajst-21787 170 15 . . PROPN ajst-21787 171 1 remote remote ADJ ajst-21787 171 2 sensing sense VERB ajst-21787 171 3 identification identification NOUN ajst-21787 171 4 of of ADP ajst-21787 171 5 black black ADJ ajst-21787 171 6 and and CCONJ ajst-21787 171 7 odorous odorous ADJ ajst-21787 171 8 water water NOUN ajst-21787 171 9 bodies body NOUN ajst-21787 171 10 in in ADP ajst-21787 171 11 built build VERB ajst-21787 171 12 - - PUNCT ajst-21787 171 13 up up ADP ajst-21787 171 14 areas area NOUN ajst-21787 171 15 of of ADP ajst-21787 171 16 guangzhou guangzhou PROPN ajst-21787 171 17 based base VERB ajst-21787 171 18 on on ADP ajst-21787 171 19 gf-6 gf-6 X ajst-21787 171 20 image image NOUN ajst-21787 172 1 [ [ X ajst-21787 172 2 j j X ajst-21787 172 3 ] ] X ajst-21787 172 4 . . PUNCT ajst-21787 173 1 environmental environmental ADJ ajst-21787 173 2 ecology ecology NOUN ajst-21787 173 3 , , PUNCT ajst-21787 173 4 2019,3(05):13 2019,3(05):13 NUM ajst-21787 173 5 - - SYM ajst-21787 173 6 18 18 NUM ajst-21787 173 7 . . PUNCT ajst-21787 174 1 [ [ X ajst-21787 174 2 9 9 NUM ajst-21787 174 3 ] ] X ajst-21787 174 4 han han PROPN ajst-21787 174 5 wencong wencong PROPN ajst-21787 174 6 , , PUNCT ajst-21787 174 7 zhang zhang PROPN ajst-21787 174 8 xiaoyu xiaoyu PROPN ajst-21787 174 9 , , PUNCT ajst-21787 174 10 chen chen PROPN ajst-21787 174 11 jiaxing jiaxing PROPN ajst-21787 174 12 , , PUNCT ajst-21787 174 13 et et PROPN ajst-21787 174 14 al al PROPN ajst-21787 174 15 . . PUNCT ajst-21787 174 16 urban urban ADJ ajst-21787 174 17 black black ADJ ajst-21787 174 18 and and CCONJ ajst-21787 174 19 odorous odorous ADJ ajst-21787 174 20 water water NOUN ajst-21787 174 21 body body NOUN ajst-21787 174 22 monitoring monitoring NOUN ajst-21787 174 23 by by ADP ajst-21787 174 24 remote remote ADJ ajst-21787 174 25 sensing sensing NOUN ajst-21787 174 26 based base VERB ajst-21787 174 27 on on ADP ajst-21787 174 28 gaofen-2 gaofen-2 ADJ ajst-21787 174 29 image image NOUN ajst-21787 175 1 [ [ X ajst-21787 175 2 j j X ajst-21787 175 3 ] ] X ajst-21787 175 4 . . PUNCT ajst-21787 176 1 environmental environmental ADJ ajst-21787 176 2 ecology ecology NOUN ajst-21787 176 3 , , PUNCT ajst-21787 176 4 2019 2019 NUM ajst-21787 176 5 , , PUNCT ajst-21787 176 6 3(01):63 3(01):63 NUM ajst-21787 176 7 - - SYM ajst-21787 176 8 71 71 NUM ajst-21787 176 9 . . PUNCT ajst-21787 177 1 ( ( PUNCT ajst-21787 177 2 in in ADP ajst-21787 177 3 chinese chinese PROPN ajst-21787 177 4 ) ) PUNCT ajst-21787 178 1 [ [ X ajst-21787 178 2 10 10 NUM ajst-21787 178 3 ] ] X ajst-21787 178 4 phiri phiri PROPN ajst-21787 178 5 d d AUX ajst-21787 178 6 , , PUNCT ajst-21787 178 7 simwanda simwanda ADV ajst-21787 178 8 m m PROPN ajst-21787 178 9 , , PUNCT ajst-21787 178 10 salekin salekin PROPN ajst-21787 178 11 s s PROPN ajst-21787 178 12 , , PUNCT ajst-21787 178 13 et et PROPN ajst-21787 178 14 al al PROPN ajst-21787 178 15 . . PROPN ajst-21787 178 16 sentinel-2 sentinel-2 ADJ ajst-21787 178 17 data datum NOUN ajst-21787 178 18 for for ADP ajst-21787 178 19 land land NOUN ajst-21787 178 20 cover cover NOUN ajst-21787 178 21 / / SYM ajst-21787 178 22 use use NOUN ajst-21787 178 23 mapping mapping NOUN ajst-21787 178 24 : : PUNCT ajst-21787 178 25 a a DET ajst-21787 178 26 review[j review[j PROPN ajst-21787 178 27 ] ] PUNCT ajst-21787 178 28 . . PUNCT ajst-21787 179 1 remote remote ADJ ajst-21787 179 2 sensing sensing NOUN ajst-21787 179 3 , , PUNCT ajst-21787 179 4 2020 2020 NUM ajst-21787 179 5 , , PUNCT ajst-21787 179 6 12(14 12(14 NUM ajst-21787 179 7 ): ): PUNCT ajst-21787 179 8 2291 2291 NUM ajst-21787 179 9 . . PUNCT ajst-21787 180 1 [ [ X ajst-21787 180 2 11 11 NUM ajst-21787 180 3 ] ] X ajst-21787 180 4 drusch drusch PROPN ajst-21787 180 5 m m PROPN ajst-21787 180 6 , , PUNCT ajst-21787 180 7 del del PROPN ajst-21787 180 8 bello bello PROPN ajst-21787 180 9 u u PROPN ajst-21787 180 10 , , PUNCT ajst-21787 180 11 carlier carlier NOUN ajst-21787 180 12 s s PROPN ajst-21787 180 13 , , PUNCT ajst-21787 180 14 et et PROPN ajst-21787 180 15 al al PROPN ajst-21787 180 16 . . PUNCT ajst-21787 181 1 sentinel-2 sentinel-2 PROPN ajst-21787 181 2 : : PUNCT ajst-21787 181 3 esa esa PROPN ajst-21787 181 4 's 's PART ajst-21787 181 5 optical optical ADJ ajst-21787 181 6 high high ADJ ajst-21787 181 7 - - PUNCT ajst-21787 181 8 resolution resolution NOUN ajst-21787 181 9 mission mission NOUN ajst-21787 181 10 for for ADP ajst-21787 181 11 gmes gme NOUN ajst-21787 181 12 operational operational PROPN ajst-21787 181 13 services[j services[j PROPN ajst-21787 181 14 ] ] PUNCT ajst-21787 181 15 . . PUNCT ajst-21787 182 1 remote remote ADJ ajst-21787 182 2 sensing sensing NOUN ajst-21787 182 3 of of ADP ajst-21787 182 4 environment environment NOUN ajst-21787 182 5 , , PUNCT ajst-21787 182 6 2012 2012 NUM ajst-21787 182 7 , , PUNCT ajst-21787 182 8 120 120 NUM ajst-21787 182 9 : : SYM ajst-21787 182 10 25 25 NUM ajst-21787 182 11 - - SYM ajst-21787 182 12 36 36 NUM ajst-21787 182 13 . . PUNCT