GC41B:
Earth Observations for Food Security and Agriculture: Synthesizing Public and Private Sector Knowledge I


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Session ID#: 58964

Session Description:
Earth observation data, analytics, and modeling from a variety of sources and at a variety of spatial and temporal scales provide critical information and tools to support decisions for the functioning and resilience of food systems. These decisions occur from farm to sub-national, national, regional, and global scales, increasing production with fewer resources, and strengthening food security and resilience while reducing uncertainty and volatility in agricultural markets.

This session is co-organized by members of private (Corteva Agriscience and The Climate Corporation) and public sectors (NASA Earth Observations for Food Security and Agriculture Consortium (EOFSAC) and NASA Food Security Office, as well as the international GEOGLAM). To bridge gaps between these sectors, we invite abstracts on recent advances in scientific applications of EO data in agricultural monitoring and decision support, including but not limited to yield modeling/forecasting/estimation, crop monitoring in cloudy regions, big Earth data and cloud-computing, and resource optimization.

Primary Convener:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States; GEOGLAM Secretariat, Geneva, Switzerland
Conveners:  Anu Swatantran, Corteva Agriscience, Johnston, IA, United States, Keely L Roth, The Climate Corporation, San Francisco, United States and Sean McCartney, NASA Goddard Space Flight Center, SSAI, Greenbelt, MD, United States
Primary Liaison:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States; GEOGLAM Secretariat, Geneva, Switzerland
Chairs:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States and Keely L Roth, The Climate Corporation, San Francisco, United States
OSPA Liaison:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
6309 Decision making under uncertainty [POLICY SCIENCES]

Abstracts Submitted to this Session:

The NASA Earth Observations for Food Security and Agriculture Consortium: Supporting Decisions in Agricultural Markets and Food Security (444140)
Inbal Becker-Reshef1, Alyssa K Whitcraft2 and Christopher Owen Justice1, (1)University of Maryland, Department of Geographical Sciences, College Park, United States, (2)University of Maryland College Park, Geographical Sciences, College Park, United States
Public-Private Collaboration on Satellite Crop Monitoring within World Bank Project on Land Management Transparency in Ukraine (448212)
Nataliia Kussul1,2, Eugene Karlov2, Andrii Shelestov1,2, Vladimir Vasiliev3 and Mykola S. Lavreniuk1,2, (1)Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine, (2)EOSDA, Kyiv, Ukraine, (3)EOSDA, Dnipro, Ukraine
Building a crystal ball for predicting crop production: empirical vs. process-based modeling, and short-term vs. long-term prediction (468374)
Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, Bin Peng, University of Illinois Urbana-Champaign, Urbana, United States, Jian Peng, University of Illinois at Urbana Champaign, Department of Computer Science, Urbana, IL, United States, Yan Li, Peking University, Beijing, China, Xiangtao Xu, Cornell University, Ecology and Evolutionary Biology, Ithaca, NY, United States, Zhenong Jin, Peking University, The Institute of Ecology, College of Urban and Environmental Science, Beijing, China and Sibo Wang, University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, Urbana, IL, United States
It takes a village: Working across sectors and disciplines to apply Earth observations for improved global food security (395688)
Kiersten B. Johnson, US Agency for International Development, College Park, MD, United States
Forecast Verification of the High-Resolution Rapid Refresh Model for Operational Agricultural Decision-Making (425381)
Jared Oyler1, David Lehning2, Joseph Pietrowicz2 and John Manobianco2, (1)BASF, Ludwigshafen, Germany, (2)BASF, Bellefonte, PA, United States
GADAS – A new Enterprise Web GIS for USDA Crop AnalystsRobert Tetrault1, Kenneth Pelman2, Bob Baldwin1, and Michael Shean3 (380976)
Robert Louis Tetrault, Organization Not Listed, Washington, United States, Kenneth Pelman, ASRC, Washington, DC, United States, Bob Baldwin, USDA FAS, Washington, DC, United States and Michael Shean, USDA FAS (retired), Washington, DC, United States
PRE-HARVEST LOSS ESTIMATION USING SATELLITE DATA CALIBRATED WITH DRONE DATA IN TANZANIA (432798)
Soonho Kim1, Summer Allen2, Michael Laurence Humber3, Ritvik Sahajpal4, Rachel Huang5 and Samson Dejene Aredo2, (1)International Food Policy Research Institute, Washington, DC, United States, (2)International Food Policy Research Institute, Markets, Trade and Institutions, Washington, DC, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, United States, (5)International Food Policy Research Institute, Markets, Trade, and Institutions, Washington, DC, United States

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