A data fusion approach for mapping daily evapotranspiration at field scale

Water Resources Research

Volumn 49, Issue 8, 2013, Pages 4672-4686

  Cammalleri, C ^a   Anderson, M C ^a   Gao, F ^a   Hain, C R ^b   Kustas, W P ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Landsat; MODIS; surface energy balance; thermal remote sensing

Indexed keywords

DATA FUSION; ENERGY BALANCE; EVAPORATIVE COOLING SYSTEMS; EVAPOTRANSPIRATION; GEOSTATIONARY SATELLITES; IMAGE RESOLUTION; INFORMATION MANAGEMENT; INTERFACIAL ENERGY; LAND SURFACE TEMPERATURE; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE; WATER MANAGEMENT;

DAILY EVAPOTRANSPIRATIONS; EVAPORATIVE COOLING; LANDSAT; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS; SPATIAL RESOLUTION; THERMAL REMOTE SENSING; WATERRESOURCE MANAGEMENT;

MAPPING;

COOLING; ENERGY BUDGET; EVAPOTRANSPIRATION; GEOSTATIONARY SATELLITE; LAND SURFACE; LANDSAT; MAIZE; MODIS; REMOTE SENSING; SOYBEAN; SPATIAL RESOLUTION; SURFACE TEMPERATURE; WATER MANAGEMENT; WATER RESOURCE;

GLYCINE MAX; ZEA MAYS;

EID: 84880948291     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20349     Document Type: Article

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