Abstract: A dense camera network for cropland (CropInsight) - developing high spatiotemporal resolution crop Leaf Area Index (LAI) maps through network images and novel satellite data (2017 AGU Fall Meeting)

A dense camera network for cropland (CropInsight) - developing high spatiotemporal resolution crop Leaf Area Index (LAI) maps through network images and novel satellite data

Hyungsuk Kimm¹, Kaiyu Guan^2,3, Yunan Luo⁴, Jian Peng⁴, Joseph Mascaro⁵ and Bin Peng^6,7, (1)University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, (2)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, Urbana, IL, United States, (3)University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, IL, United States, (4)University of Illinois at Urbana Champaign, Department of Computer Science, Urbana, IL, United States, (5)Planet, San Francisco, United States, (6)University of Illinois Urbana-Champaign, Urbana, United States, (7)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, Urbana, United States

Back to: Emerging Earth Observation Technologies and Techniques in Global Agricultural Monitoring: GEOGLAM and Other Activities I