Primary Convener: Yun Yang, USDA Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
Conveners: Martha B. Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Xiaoyuan Yang, The Climate Corporation San Francisco, San Francisco, CA, United States and Zhe Zhu, University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States
Primary Liaison: Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States
Chairs: Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States, Martha B. Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Zhe Zhu, University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States and Xiaoyuan Yang, The Climate Corporation San Francisco, San Francisco, CA, United States
OSPA Liaison: Zhe Zhu, University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States
A field-scale, ET-based crop stress indicator for yield estimates: an application across the Corn Belt, USA (714773)
Yang Yang, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Martha B. Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Feng Gao, USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States and Wayne Dulaney, USDA ARS, Beltsville, MD, United States
Improved Daily ET Estimation Using Remotely Sensed Data in a Data Fusion System (731564)
Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States, Martha B. Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, Feng Gao, USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, Christopher Hain, National Integrated Drought Information System, Boulder, CO, United States and Kyle Knipper, University of California Davis, Davis, CA, United States
Mapping Canopy Nitrogen Concentration across Ryegrass and Barley Crop using Random Forest Regression (687246)
Manish Kumar Patel1,2, Dongryeol Ryu2, Andrew William Western1, Glenn Fitzgerald3,4, Eileen M. Perry3,5, Helen Suter6 and Iain Young7, (1)University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, (2)The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, (3)Agriculture Victoria, Horsham, VIC, Australia, (4)University of Melbourne, Centre for Agricultural Innovation, Faculty of Veterinary and Agricultural Sciences, Parkville, VIC, Australia, (5)University of Melbourne, Department of Infrastructure Engineering, School of Engineering, Parkville, VIC, Australia, (6)The University of Melbourne, School of Agriculture and Food, Parkville, VIC, Australia, (7)The University of Sydney, School of Life and Environmental Sciences, Sydney, NSW, Australia
Towards large-scale mapping of tree crops with high-resolution satellite imagery and deep learning algorithms: a case study of olive orchards in Morocco (716242)
Chenxi Lin1, Zhenong Jin2, David Mulla3, Rahul Ghosh4, Kaiyu Guan5, Yaping Cai6 and Vipin Kumar4, (1)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Minneapolis, MN, United States, (2)University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, MN, United States, (3)University of Minnesota Twin Cities, Department of Soil, Water, and Climate, Minneapolis, MN, United States, (4)University of Minnesota Twin Cities, Department of Computer Science/Engineering, Minneapolis, MN, United States, (5)University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, (6)University of Illinois at Urbana Champaign, College of Agricultural Consumer and Environmental Sciences, Urbana, IL, United States