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Authors Anderson, Martha C. Remove constraint Anderson, Martha C.: Anderson, Martha C. Subjects corn Remove constraint corn: corn Subjects remote sensing Remove constraint remote sensing: remote sensing

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1. 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

2. Comparing the utility of microwave and thermal remote-sensing constraints in two-source energy balance modeling over an agricultural landscape

Description:: Includes references
Author:: Li, Fuqin , Kustas, William P. , Anderson, Martha C. , Jackson, Thomas J. , Bindlish, Rajat , Prueger, John H.
Subject:: agricultural land , landscapes , remote sensing , microwave radiation , infrared radiation , thermal analysis , energy balance , canopy , soil temperature , soil water content , radiometry , corn , soybeans , mathematical models , model validation , Iowa
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2006

3. Dew frequency, duration, amount, and distribution in corn and soybean during SMEX05

Description:: Includes references
Author:: Kabela, Erik D. , Hornbuckle, Brian K. , Cosh, Michael H. , Anderson, Martha C. , Gleason, Mark L.
Subject:: Glycine max , soybeans , Zea mays , corn , dew , frequency , spatial distribution , temperature , remote sensing , soil water content , accuracy , canopy , field experimentation , satellites , water , experimental design , simulation models , prediction , Iowa
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2009