An Interpretative Representation Learning Framework for Generating High Spatiotemporal Resolution Leaf Area Index of Croplands
An Interpretative Representation Learning Framework for Generating High Spatiotemporal Resolution Leaf Area Index of Croplands
Junxiong Zhou1, Licheng LIU1, Qi Yang1, Rahul Ghosh2, Xiaowei Jia3, Shaoming Xu2, Vipin Kumar2, Chongya Jiang4, Hyungsuk Kimm5, Kaiyu Guan6 and Zhenong Jin7, (1)University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States, (2)University of Minnesota-Twin Cities, Department of Computer Science/Engineering, Minneapolis, United States, (3)University of Pittsburgh, Department of Computer Science, Pittsburgh, PA, United States, (4)University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, IL, United States, (5)University of Illinois at Urbana-Champaign, Department of Natural Resources and Environmental Sciences, Urbana, United States, (6)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, (7)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, St. Paul, United States