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Subjects corn Remove constraint corn: corn Subjects remote sensing Remove constraint remote sensing: remote sensing Subjects spatial data Remove constraint spatial data: spatial data
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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. Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data

Description:
Includes references
Author:
Houborg, Rasmus , Boegh, Eva
Subject:
canopy , vegetation structure , vegetation cover , leaf area index , leaves , chlorophyll , spatial data , spatial distribution , spectral analysis , reflectance , image analysis , remote sensing , field crops , wheat , corn , barley , Triticum aestivum , Hordeum vulgare , Zea mays , soil , equations
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2008

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