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Subjects corn Remove constraint corn: corn Subjects vegetation Remove constraint vegetation: vegetation Subjects soil water content Remove constraint soil water content: soil water content

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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. Soil moisture mapping and AMSR-E validation using the PSR in SMEX02

Description:: Includes references
Author:: Bindlish, Rajat , Jackson, Thomas J. , Gasiewski, Albin J. , Klein, Marian , Njoku, Eni G.
Subject:: agricultural watersheds , soil water content , corn , soybeans , vegetation , plant density , microwave radiation , remote sensing , radiometers , radiometry , algorithms , thematic maps , precipitation , Iowa
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2006

3. Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery

Description:: Includes references
Author:: Anderson, M.C. , Neale, C.M.U. , Li. F. , Norman, J.M. , Kustas, W.P. , Jayanthi, H. , Chavez, J.
Subject:: vegetation , canopy , moisture content , leaf area index , remote sensing , vegetation structure , vegetation cover , image analysis , accuracy , microwave radiation , spatial data , soil water content , temporal variation , spatial variation , Zea mays , corn , Glycine max , soybeans , field crops , reflectance , Iowa
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2004

4. Using the transpiration regime to estimate biomass production

Description:: Includes references
Author:: Novak, Viliam , Van Genuchten, Martinus Th.
Subject:: vegetation , plant growth , estimation , transpiration , seasonal variation , simulation models , environmental models , soil water regimes , soil water content , Zea mays , corn , Slovakia
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2008