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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. Development of Single-Seed Near-Infrared Spectroscopic Predictions of Corn and Soybean Constituents using Bulk Reference Values and Mean Spectra

Description:
Includes references
Author:
Armstrong, P.R. , Tallada, J.G. , Hurburgh, C. , Hildebrand, D.F. , Specht, J.E.
Subject:
corn , model validation , models , near-infrared reflectance spectroscopy , near-infrared spectroscopy , nondestructive methods , normal values , prediction , proteins , seeds , soy protein , soybean oil , soybeans , starch
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2011