B43K:
Emerging Earth Observation Technologies and Techniques in Global Agricultural Monitoring: GEOGLAM and Other Activities I

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Session ID#: 31918

Session Description:
Earth Observations (EO) from satellite and in situ data sources are valuable resources for monitoring changes in global croplands and rangelands. New data sources, technologies, and techniques emerging from the public and private domains are growing the potential and realized applications of EO for global agricultural monitoring at multiple temporal and spatial scales. We invite abstracts which broadly deal with the use and application of EO for cropland and rangeland monitoring, and highlight emerging technologies and techniques related to 1) data sources (e.g. UAV, micro satellites, SAR, passive microwave, fluorescence, crowdsourcing); 2) data access and use (e.g. data fusion, big data, artificial intelligence, web-enabled tools and cloud computing); and 3) knowledge/technology transfer modalities. In-session discussions will be oriented toward coordinating monitoring efforts, such as the Group on Earth Observations Global Agricultural Monitoring (GEOGLAM), a G20 international initiative to enhance global EO-based agricultural information usage by decision and policy makers.
Primary Convener:  George Azzari, Stanford University, Stanford, CA, United States
Convener:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States
Chairs:  George Azzari, Stanford University, Stanford, CA, United States and Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States
OSPA Liaison:  George Azzari, Stanford University, Stanford, CA, United States
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

The Asia-RiCE activity with data cube (239249)
Shinichi Sobue, Japan Aerospace Exploration Agency, Satellite Applications and Operations Center, Kanagawa, Japan, Kei Oyoshi, JAXA Japan Aerospace Exploration Agency, Sagamihara, Japan, Thuy LE Toan, Centre d'Etudes Spatiales de la Biosphere, Toulouse Cedex 9, France, Nguyen Dao Lam, Westmount, QC, Canada and asia rice
Real Time Agricultural Monitoring with the Planet SmallSat Constellation (Invited) (280961)
Joseph Mascaro, Planet Labs, San Francisco, CA, United States
An Iterative Learning Algorithm to Map Oil Palm Plantations from Synthetic Aperture Radar and Crowdsourcing (236819)
Naiara Pinto1, Zizhao Zhang2, Christoph Perger3, Naikoa Aguilar-Amuchastegui4,5, Angelica M Almeyda Zambrano6, Eben N Broadbent7, Marc Simard8 and Sudipto Banerjee2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of California Los Angeles, Biostatistics, Los Angeles, CA, United States, (3)IIASA, Laxenburg, Austria, (4)World Wildlife Fund - US, Washington DC, DC, United States, (5)World Wildlife Fund, Washington, DC, United States, (6)University of Florida, Ft Walton Beach, MA, United States, (7)University of Florida, School of Forestry Resources and Conservation, Gainesville, FL, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
A dense camera network for cropland (CropInsight) - developing high spatiotemporal resolution crop Leaf Area Index (LAI) maps through network images and novel satellite data (299560)
Hyungsuk Kimm1, Kaiyu Guan2,3, Yunan Luo4, Jian Peng4, Joseph Mascaro5 and Bin Peng6,7, (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
Estimating Rangeland Forage Production Using Remote Sensing Data from a Small Unmanned Aerial System (sUAS) (266926)
Han Liu1, Yufang Jin2, Scott Devine1, Randy A Dahlgren3, Sarah Covello4, Royce Larsen4 and Anthony T O'Geen2, (1)University of California Davis, Davis, CA, United States, (2)University of California Davis, Department of Land, Air and Water Resources, Davis, United States, (3)Univ California Davis, Davis, CA, United States, (4)University of California Cooperative Extension, San Luis Obispo, CA, 93446, USA, San Luis Obispo, United States

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