Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data

Ecohydrology

Volumn 9, Issue 2, 2016, Pages 248-266

  Fang, Yuan ^a   Sun, Ge ^b   Caldwell, Peter ^b   Mcnulty, Steven G ^b   Noormets, Asko ^a   Domec, Jean Christophe ^a,c   King, John ^a   Zhang, Zhiqiang ^d   Zhang, Xudong ^e   Lin, Guanghui ^f   Zhou, Guangsheng ^g   Xiao, Jingfeng ^h   Chen, Jiquan ⁱ  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b USDA FOREST SERVICE   (United States)

^c UNIVERSITÉ DE BORDEAUX   (France)

^d BEIJING FORESTRY UNIVERSITY   (China)

^e RESEARCH INSTITUTE OF FORESTRY   (China)

^f TSINGHUA UNIVERSITY   (China)

^g INSTITUTE OF BOTANY   (China)

^h UNIVERSITY OF NEW HAMPSHIRE   (United States)

ⁱ MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Ecohydrology; Ecosystem modelling; Eddy covariance flux; Evapotranspiration; FLUXNET

Indexed keywords

BIOPHYSICS; BUDGET CONTROL; ECOLOGY; ECOSYSTEMS; EVAPOTRANSPIRATION; HYDROLOGY; IMAGE RECONSTRUCTION; RADIOMETERS; RAIN; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; WATER SUPPLY;

BIOPHYSICAL INFORMATION; ECO-HYDROLOGY; ECOSYSTEM MODELLING; EDDY COVARIANCE; EVAPOTRANSPIRATION MODELS; FLUXNET; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; STATISTICAL MODELLING;

FORESTRY;

ECOHYDROLOGY; ECOSYSTEM MODELING; EDDY COVARIANCE; EVAPOTRANSPIRATION; HYDROLOGICAL MODELING; LAND COVER; LEAF AREA INDEX; MODIS; WATER BUDGET;

EID: 84959473297     PISSN: 19360584     EISSN: 19360592     Source Type: Journal    
DOI: 10.1002/eco.1629     Document Type: Article

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