A semi-empirical inversion model for assessing surface soil moisture using AMSR-E brightness temperatures

Journal of Hydrology

Volumn 456-457, Issue , 2012, Pages 1-11

  Chen, Xiu zhi ^a,c,d   Chen, Shui sen ^a,b,f   Zhong, Ruo fei ^b   Su, Yong xian ^a,c,d   Liao, Ji shan ^e   Li, Dan ^a,c,d   Han, Liu sheng ^a,c,d   Li, Yong ^a   Li, Xia ^g  

^a GUANGZHOU INSTITUTE OF GEOGRAPHY   (China)

^b CAPITAL NORMAL UNIVERSITY   (China)

^c GUANGZHOU INSTITUTE OF GEOCHEMISTRY   (China)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^e BEIJING NORMAL UNIVERSITY   (China)

^f OREGON STATE UNIVERSITY   (United States)

^g SUN YAT SEN UNIVERSITY   (China)

Author keywords

AMSR E; Brightness temperature (T b); Drought disaster; Passive microwave remote sensing; Semi empirical model; Surface soil moisture (SSM)

Indexed keywords

AMSR-E; BRIGHTNESS TEMPERATURES; PASSIVE MICROWAVE REMOTE SENSING; SEMIEMPIRICAL MODELS; SURFACE SOIL MOISTURE;

ATMOSPHERIC HUMIDITY; LOSSES; REMOTE SENSING; SOIL MOISTURE; SURFACE MEASUREMENT; SURFACE ROUGHNESS; TEMPERATURE; VEGETATION;

DROUGHT;

ACCURACY ASSESSMENT; AMSR-E; AQUA (SATELLITE); BARE SOIL; BRIGHTNESS TEMPERATURE; DAMAGE; DROUGHT; EMPIRICAL ANALYSIS; EOS; MODEL VALIDATION; NUMERICAL MODEL; REMOTE SENSING; SOIL MOISTURE; SOIL SURFACE; SOIL TEMPERATURE; SURFACE ROUGHNESS; TIME SERIES; VEGETATION COVER;

CHINA; GUANGDONG;

EID: 84864341788     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.05.022     Document Type: Article

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