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Subjects corn Remove constraint corn: corn Subjects equations Remove constraint equations: equations Subjects satellites Remove constraint satellites: satellites

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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 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

3. Intercalibration of vegetation indices from different sensor systems

Description:: Includes references
Author:: Steven, Michael D. , Malthus, Timothy J. , Baret, Frederic , Xu, Hui , Chopping, Mark J.
Subject:: vegetation , satellites , remote sensing , sensors , calibration , crops , corn , sugar beet , reflectance , plant density , spectral analysis , spectrometers , radiometry , equations , England , France
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

4. Large-area maize yield forecasting using leaf area index based yield model

Description:: Includes references
Author:: Baez-Gonzalez, A.D. , Kiniry, J.R. , Maas, S.J. , Tiscareno L., M. , Macias C., J. , Mendoza, J.L. , Richardson, C.W. , Salinas, G., J. , Manjarrez, J.R.
Subject:: Zea mays , corn , grain crops , grain yield , crop models , leaf area index , prediction , remote sensing , equations , mathematical models , satellites , Mexico
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2005

5. Observations of dew amount using in situ and satellite measurements in an agricultural landscape

Description:: Includes references
Author:: Cosh, Michael H. , Kabela, Erik D. , Hornbuckle, Brian , Gleason, Mark L. , Jackson, Thomas J. , Prueger, John H.
Subject:: agroecosystems , spatial variation , measurement , landscapes , satellites , remote sensing , dew , leaves , water balance , energy balance , soil water content , agricultural watersheds , Zea mays , corn , Glycine max , soybeans , leaf area index , equations , regression analysis , accuracy , Iowa
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2009