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1. A comparison of operational remote sensing-based models for estimating crop evapotranspiration

Description:
Includes references
Author:
Gonzalez-Dugo, M.P. , Neale, C.M.U. , Mateos, L. , Kustas, W.P. , Prueger, J.H. , Anderson, M.C. , Li, F.
Subject:
evapotranspiration , soil-plant-atmosphere interactions , remote sensing , models , reflectance , energy balance , estimation , equations , field crops , agricultural soils , canopy , temperature , water stress , Glycine max , soybeans , accuracy , simulation models , mathematical models , surface temperature , heat transfer , soil water content , rhizosphere , soil-atmosphere interactions , Zea mays , corn , grain crops , dryland farming , satellites , plant stress , vegetation , meteorological parameters , Iowa
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2009

2. An intercomparison of three remote sensing-based energy balance models using Large Aperture Scintillometer measurements over a wheat–corn production region

Author:
Ronglin Tang , Zhao-Liang Li , Yuanyuan Jia , Chuanrong Li , Xiaomin Sun , William P. Kustas , Martha C. Anderson
Subject:
corn , energy balance , evapotranspiration , heat transfer , leaf area index , models , moderate resolution imaging spectroradiometer , satellites , subhumid zones , surface temperature , wheat , yields , China
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2011

3. An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX

Description:
In the special issue: Environmental biophysics - Tribute to John Norman / edited by Martha Anderson, Tracy Twine, and Andy Black.
Author:
Choi, Minha , Kustas, William P. , Anderson, Martha C. , Allen, Richard G. , Li, Fuqin , Kjaersgaard, Jeppe H.
Subject:
soil-plant-atmosphere interactions , surface temperature , energy balance , evapotranspiration , canopy , vegetation cover , leaf area index , estimation , remote sensing , models , heat transfer , spatial data , equations , Zea mays , corn , Glycine max , soybeans , simulation models , mathematical models , algorithms , accuracy , spatial variation , soil temperature , satellites , image analysis , Iowa
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2009