Estimation of leaf area index and above-ground biomass in soybean canopy using Sentinel-1 & 2, and Landsat images
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W[2019AGUFMGC23H1442W]
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LI["Linked Institutions (4)"]
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Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma Norman Campus, Norman, OK, United States
College of Environment and Planning, Ministry of Education Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Henan Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University, Kaifeng, China
USDA-ARS, Genetics and Sustainable Agricultural Research Unit, Starkville, United States
College of Forestry, Beijing Forestry University, Beijing, China
College of Environment and Planning, Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Henan Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University, Kaifeng, China