GC33D:
Geospatial Methods, Modeling, and Applications of Agricultural Resiliency at Local, Regional, National, and Global Scales II Posters

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Session ID#: 23766

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, management practices, and businesses. Remote sensing, GIS science, volunteered geographic infromation/crowdsourcing, and modeling framework methods help derive accurate, geospatially-driven assessments of agricultural processes and systems on crop-, pasture-, rangelands, and urban agriculture. This session will feature research methods, tools, and applications in monitoring, mapping, and quantifying changes in agricultural production and resiliency. Topics include sustainability, climate, resilience, risk reduction practices, index insurance and economic modeling, grower adaptation and mitigation efforts, agroecology, conservation and/or climate-smart agriculture, land use/land cover conversions, phenology, crop diversification, rotation and intensification, urban farming, food security, food and land sovereignty, and monitoring agricultural area, productivity, and yield.
Primary Convener:  Jessica McCarty, Miami University, Geography, Oxford, United States
Conveners:  Rick Mueller, USDA Washington DC, Washington, DC, United States, Caitlin Kontgis, Impact Observatory, Washington, DC, United States and Jesslyn F Brown, USGS/EROS, Sioux Falls, United States
Chairs:  Jessica McCarty, Miami University, Geography, Oxford, United States, Rick Mueller, USDA National Agricultural Statistics Service, Washington, DC, United States and Caitlin Kontgis, Impact Observatory, Washington, DC, United States
OSPA Liaison:  Jessica McCarty, Miami University, Geography, Oxford, United States

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

0402 Agricultural systems [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
6309 Decision making under uncertainty [POLICY SCIENCES]

Abstracts Submitted to this Session:

Mobile Digital Applications for Farmers to Transform Agriculture Statistics from the Bottom Up (225501)
Molly Elizabeth Brown, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Kathryn Grace, University of Minnesota Twin Cities, Geography, Environment and Society, Minneapolis, MN, United States, Ritvik Sahajpal, University of Maryland College Park, Geographical Sciences, College Park, United States and Jyoteshwar R Nagol, University of Maryland, College Park, United States
Development of predictive weather scenarios for early prediction of rice yield in South Korea (230648)
Yonghee Shin, APEC Climate Center, Busan, South Korea, Jaepil Cho, APCC, Busan, South Korea and Imgook Jung, APEC CLIMATE CENTER, Climate Services and Research Department, Busan, South Korea
Satellite-based mapping of field-scale stress indicators for crop yield forecasting: an application over Mead, NE (239767)
Yang Yang1, Martha Anderson2, Feng Gao3, Brian Wardlow4, Christopher Hain5, Jason Otkin6, Liang Sun7 and Wayne Dulaney7, (1)USDA Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (2)USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, United States, (3)USDA, ARS, Beltsville, United States, (4)University of Nebraska Lincoln, Lincoln, United States, (5)NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, Huntsville, AL, United States, (6)Cooperative Institute for Meteorological Satellite Studies, Madison, United States, (7)USDA ARS, Beltsville, MD, United States
Landsat Collection 1 Data: Assessing the Impacts of Surface Reflectance Product Changes on an Operational Rangeland Management Tool (242461)
Chandra Holifield Collins, USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States, Susan M Skirvin, University of Arizona, Tucson, AZ, United States, Mark Anderson Kautz, USDA-ARS, Tucson, United States and Loretta J Metz, USDA-NRCS, Resource Assessment Division, Temple, TX, United States
A Comparison of Machine Learning Approaches for Corn Yield Estimation (251417)
Nari Kim, Pukyong National University, Busan, Korea, Republic of (South) and Yang-Won Lee, Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University, Busan, South Korea
Assessing Vulnerability of Lake Erie Landscapes to Soil Erosion: Modelled and Measured Approaches (252791)
Pamela Joosse, Agriculture and Agri-Food Canada, Ottawa, ON, Canada, Ahmed Laamrani, University of Guelph, Guelph, ON, Canada, Natalie Feisthauer, Agriculture and Agri-Food Canada, Guelph, ON, Canada and Sheng Li, Agriculture & Agri-Food Canada, Fredericton, NB, Canada
Semi-automated Approach to Mapping Sub-hectare Agricultural Fields using Very High Resolution Data in a High-Performance Computing Environment (260119)
Margaret Wooten, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, Mark Carroll, NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States and Jessica McCarty, Miami University, Geography, Oxford, United States
Detecting Land-Use Change and On-Farm Investments at the Plot Scale (266205)
Jennifer A Burney, University of California San Diego, La Jolla, CA, United States, Ran Goldblatt, University of California San Diego, School of Global Policy and Strategy, La Jolla, CA, United States, Karla Yee Amezaga, World Bank, Washington DC, United States, Luke Sanford, Yale University, School of Environment, New Haven, CT, United States and Mandy M Nichols, University of California San Diego, Mechanical and Aerospace Engineering, La Jolla, CA, United States
Generation of multi annual land use and crop rotation data for regional agro-ecosystem modeling (277360)
Guido Waldhoff1, Ulrike Lussem1, Mauro Sulis2 and Georg Bareth1, (1)University of Cologne, Institute of Geography, Cologne, Germany, (2)Meteorological Institute, Bonn University, Bonn, Germany
Evaluation of Precipitation Indices for Global Crop Modeling and Definition of Drought Response Function to Yields (208448)
Daijiro Kaneko, Remote Sensing Environmental Monitor, Inc., President, Yokohama, Japan
Daily monitoring of 30 m crop condition over complex agricultural landscapes (218827)
Liang Sun, USDA ARS HRSL, Beltsvillle, MD, United States, Feng Gao, USDA, ARS, Beltsville, United States, Donghui Xie, Beijing Normal University, Faculty of Geographical Science, Beijing, China, Martha Anderson, USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, United States, Yun Yang, University of Maryland College Park, ESSIC, College Park, MD, United States and Yang Yang, USDA-ARS, Beltsville, United States

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