id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-30892	Fu, Lianli; Gao, Zhongliang; Chen, Guohui; Dong, Kaixun	Research Progress on Remote Sensing Inversion of Forest Fuel Moisture Content	2025	4	.pdf	application/pdf	2757	169	38	This paper introduces the influencing factors of fuel moisture content, reviews major research methods for forest fuel moisture content domestically and internationally, analyzes existing challenges, and proposes future research directions. Efficient and accurate simulation of the dynamic changes in forest fuel moisture content is crucial for predicting fire occurrence and behavior.	cache/ajst-30892.pdf	txt/ajst-30892.txt