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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 Active Sensor Algorithm for Corn Nitrogen Recommendations Based on a Chlorophyll Meter Algorithm

Description:: Includes references
Author:: Solari, Fernando , Shanahan, John F. , Ferguson, Richard B. , Adamchuk, Viacheslav I.
Subject:: Zea mays , corn , nitrogen , plant nutrition , nutritional status , canopy , sensors , reflectance , algorithms , chlorophyll , nitrogen fertilizers , fertilizer rates , mathematical models , equations , nitrogen balance , accuracy , model validation , grain yield , irrigated farming
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2010

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

4. 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

5. Scaling Effects of Standing Crop Residues on the Wind Profile

Description:: Includes references
Author:: Aiken, R.M. , Nielsen, D.C. , Ahuja, L.R.
Subject:: stubble , wind , algorithms , equations , prediction , accuracy , surface roughness , Triticum aestivum , Zea mays , Panicum miliaceum , Helianthus annuus , canopy , stems , corn , wheat , millets , mathematical models , wind speed
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

6. Urea Decreases Nitrous Oxide Emissions Compared with Anhydrous Ammonia in a Minnesota Corn Cropping System

Description:: In the special section: Soil carbon sequestration and greenhouse gas mitigation / edited by Ronald F. Follett.
Author:: Venterea, Rodney T. , Dolan, Michael S. , Ochsner, Tyson E.
Subject:: Zea mays , corn , grain crops , urea , anhydrous ammonia , nitrogen fertilizers , fertilizer rates , nitrous oxide , gas emissions , greenhouse gases , long term experiments , Glycine max , soybeans , field crops , crop rotation , continuous cropping , carbon dioxide , crop residues , measurement , accuracy , equations , mathematical models , Minnesota
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2010