GC31G:
Geospatial Methods, Modeling, and Applications of Agricultural Resiliency at Local, Regional, National, and Global Scales I

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Session ID#: 32477

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:  Caitlin Kontgis, Impact Observatory, Washington, DC, United States, Rick Mueller, USDA National Agricultural Statistics Service, Washington, DC, United States and Jessica McCarty, Miami University, Geography, Oxford, 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:

Biogeoscience opportunities to address agricultural supply chain risk: observations, methods, and applications (216495)
Adam Wolf1, Carlos F Gaitan1, Taylor Thomas2, Danielle Watts3 and Jess Bollinger3, (1)Arable Labs, Inc., Princeton, NJ, United States, (2)Emergent Space Technologies, Laurel, United States, (3)Arable Labs, Inc., Berkeley, CA, United States
Heterogeneous benefits of precision nitrogen management over the Midwestern US: evidence from 1,000 fields derived by satellite imagery and crop modeling (292718)
Zhenong Jin, Peking University, The Institute of Ecology, College of Urban and Environmental Science, Beijing, China, Sotirios Archontoulis, Iowa State University, Ames, United States and David B Lobell, Stanford University, Department of Earth System Science & Center on Food Security and the Environment, Stanford, United States
Sub-hectare crop area mapped wall-to-wall in Tigray Ethiopia with HEC processing of WorldView sub-meter panchromatic image texture (Invited) (280581)
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, Margaret Wooten, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, Jessica McCarty, Miami University, Geography, Oxford, United States, Bristol Powell, Columbia University, New York, NY, United States, Gregory J Husak, USGS, Santa Barbara, CA, United States, Markus Enenkel, Vienna University of Technology, Vienna, Austria and Christopher Hain, NASA Marshall Space Flight Center, Earth Science Office, Huntsville, AL, United States
Evaluation of Stakeholder-Driven Groundwater Management through Integrated Modeling and Remote Sensing in the US High Plains Aquifer (293062)
Jillian M Deines1, Anthony D Kendall1, James J Butler Jr2 and David W Hyndman3, (1)Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States, (2)University of Kansas, Kansas Geological Survey, Lawrence, United States, (3)University of Texas at Dallas, Department of Geosciences, School of Natural Sciences and Mathematics, Richardson, United States
Varying geospatial analyses to assess climate risk and adaptive capacity in a hotter, drier Southwestern United States (285229)
Emile Elias, US Department of Agriculture, Southwest Climate Hub, Las Cruces, NM, United States, Julian J Reyes, PhD, USDA Southwest Climate Hub, ARS Jornada Experimental Range, Las Cruces, NM, United States, Caitriana M Steele, New Mexico State Univ, Las Cruces, NM, United States and Albert Rango, USDA ARS, Las Cruces, NM, United States
Using a time-series statistical framework to quantify trends and abrupt change in US corn, soybean, and wheat yields from 1970-2016 (264524)
Jien Zhang1, Anthony R Ives1, Monica Turner1 and Christopher J Kucharik2, (1)University of Wisconsin Madison, Department of Integrative Biology, Madison, WI, United States, (2)University of Wisconsin Madison, Department of Agronomy, Madison, United States
Crop Yield Predictions - High Resolution Statistical Model for Intra-season Forecasts Applied to Corn in the US (213287)
Yiqing Cai, Gro Intelligence, Inc, New York, NY, United States

See more of: Global Environmental Change