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Subjects corn Remove constraint corn: corn Subjects accuracy Remove constraint accuracy: accuracy Subjects reflectance Remove constraint reflectance: reflectance
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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. 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