GC54A:
Remotely Sensed Monitoring Approaches and Geophysical Modeling for improving Agricultural Resiliency II

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Session ID#: 15660

Session Description:
Developing science-based knowledge through research to monitor and quantify evolving agro-ecological production practices is needed to reduce risk, build resiliency, and inform agricultural communities especially in the context of a changing climate.  Remote sensing, GIS science, and modeling framework methods help derive accurate, geospatially-driven assessments of agricultural processes and systems on crop-, pasture-, and rangelands. This session will feature recent research methods, tools, and applications in monitoring, mapping, and quantifying changes in agricultural production practices. Topics include sustainability, resilience, risk reduction practices, grower adaptation and mitigation efforts, land use/land cover conversions, phenology, crop diversification, rotation and intensification, urban farming initiatives, food security, and monitoring agricultural area, productivity, and yield.
Primary Convener:  Rick Mueller, USDA Washington DC, Washington, DC, United States
Conveners:  Jesslyn F Brown, USGS/EROS, Sioux Falls, United States, Daijiro Kaneko, President, Yokohama, Japan and Tsegaye Tadesse, National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, United States
Chairs:  Daijiro Kaneko, President, Yokohama, Japan, Rick Mueller, USDA Washington DC, Washington, DC, United States and Mark D. Svoboda, University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States
OSPA Liaison:  Jesslyn F Brown, USGS/EROS, Sioux Falls, United States

Cross-Listed:
  • B - Biogeosciences
  • IN - Earth and Space Science Informatics
  • PA - Public Affairs
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1632 Land cover change [GLOBAL CHANGE]
1960 Portals and user interfaces [INFORMATICS]

Abstracts Submitted to this Session:

Global, Persistent, Real-time Multi-sensor Automated Satellite Image Analysis and Crop Forecasting in Commercial Cloud (176868)
Steven Patrick Brumby1, Michael S Warren2, Ryan Keisler2, Rick Chartrand2, Samuel Skillman2, Eduardo Franco2, Caitlin Kontgis3, Daniela Moody4, Tim Kelton2 and Mark Mathis3, (1)World Resources Institute, Washington, DC, United States, (2)Descartes Labs, Inc., Los Alamos, NM, United States, (3)Impact Observatory, Washington, DC, United States, (4)Ursa Space Systems, Los Alamos, NM, United States
Estimating Crop Growth Stage by Combining Meteorological and Remote Sensing Based Techniques (157651)
Catherine Champagne1, Niloofar Alavi-Shoushtari2, Andrew M. Davidson3, Aston Chipanshi4, Yinsuo Zhang5 and Jiali Shang3, (1)Agriculture and Agri-Food Canada, National AgroClimate Information Service, Ottawa, ON, Canada, (2)Environment Canada Ottawa, Ottawa, ON, Canada, (3)Agriculture and Agri-Food Canada, Science and Technology Branch, Ottawa, ON, Canada, (4)Agriculture and Agri-Food Canada, Agroclimate, Geomatics and Earth Observation Division, Ottawa, ON, Canada, (5)Agriculture and Agri-Food Canada, Ottawa, ON, Canada
Measuring Land-Use and Land-Cover Change Using the USDA Cropland Data Layer: Cautions and Recommendations (185177)
Tyler J Lark1, Rick Mueller2, David M Johnson2 and Holly Gibbs3, (1)University of Wisconsin Madison, Madison, WI, United States, (2)USDA National Agricultural Statistics Service, Washington, DC, United States, (3)University of Wisconsin Madison, Department of Geography; Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, WI, United States
Profiling agricultural land cover change in the North Central U.S. using ten years of the Cropland Data Layer (147895)
Avery Nagle and Lee Ebinger, USDA National Agricultural Statistics Service, Washington, DC, United States
Geophysical Global Modeling for Extreme Crop Production Using Photosynthesis Models Coupled to Ocean SST Dipoles (121016)
Daijiro Kaneko, Remote Sensing Environmental Monitor, Inc., President, Yokohama, Japan
Mixing Up a Drought Indicator Cocktail: Blended, not Stirred (Invited) (122349)
Mark D. Svoboda and Brian Fuchs, National Drought Mitigation Center, University of Nebraska-Lincoln, Lincoln, NE, United States
Future possible crop yield scenarios under multiple SSP and RCP scenarios. (Invited) (122524)
Gen Sakurai1, Masayuki Yokozawa2, Motoki Nishimori1 and Masashi Okada1, (1)NIAES National Institute for Agro-Environmental Sciences, Tsukuba, Japan, (2)Shizuoka University, Mathematical and Systems Engineering, Shizuoka, Japan
The Vegetation Drought Response Index for Canada (VegDRI-Canada) to Monitor Agricultural Drought: First Results (137044)
Brian Wardlow, University of Nebraska Lincoln, Lincoln, United States, Tsegaye Tadesse, National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, United States, Jesslyn F Brown, USGS/EROS, Sioux Falls, United States, Catherine Champagne, Agriculture and Agri-Food Canada, National AgroClimate Information Service, Ottawa, ON, Canada, Trevor A Hadwen, Agriculture and Agri-Food Canada, Regina, Canada, Getachew Berhan Demisse, Addis Ababa University, Addis Ababa, Ethiopia and Yared A Bayissa, University of Nebraska Lincoln, Lincoln, NE, United States

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