IN51F:
Applications of Geospatial Data and Remote Sensing for Food Security I Posters

Submit an Abstract to this Session



Session ID#: 25450

Session Description:
Global food security represents a major societal challenge for the coming decades. Growing human population, increased demand for water and energy, and a changing climate have contributed to expanded concerns centered on food supply, production, resiliency, and price volatility. Food security involves natural science, as well as social, economic, and political dimensions. Earth observations and Earth science data, models, and knowledge are essential to support the resilience of food systems, in areas such as estimation of crop intensities, agricultural productivity assessment, water planning, and crop yield modeling.

This session explores how geospatial data about the food system and Earth observation can be combined to transform food security. We invite submissions on: (i) the use of Earth observations for enhanced food security practices; (ii) effective approaches to enable sustained applications of Earth observations for food security; and (iii) impact assessment to quantify the benefits of Earth observations for food security.

Primary Convener:  Margaret Hurwitz, NASA Headquarters, Washington, DC, United States; NASA Goddard Space Flight Center, Code 614, Greenbelt, MD, United States
Conveners:  Danielle Wood1, Christa D Peters-Lidard1 and Bradley Doorn2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States(2)NASA Headquarters, Applied Sciences Program, Water Resources & Agriculture, Washington, United States
Chairs:  Bradley Doorn, NASA Headquarters, Applied Sciences Program, Water Resources & Agriculture, Washington, United States and Christa D Peters-Lidard, NASA Goddard Space Flight Center, Greenbelt, MD, United States
OSPA Liaison:  Christa D Peters-Lidard, NASA Goddard Space Flight Center, Greenbelt, MD, United States

Cross-Listed:
  • B - Biogeosciences
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:

Identification of transplanting stage of rice using Sentinel-1 data (223462)
Chiharu Hongo1, Takumichi Tosa2, Eisaku Tamura1, Gunardi Sigit3 and Baba Barus4, (1)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (2)Chiba University, Chiba, Japan, (3)Regional Office of Food Crops Service West Java Province, Bandung, Indonesia, (4)Bogor Agricultural University, Bogor, Indonesia
A blended approach to analyze staple and high-value crops using remote sensing with radiative transfer and crop models. (214110)
Aaron Walter Darwin Davitt, CUNY Graduate Center, New York, NY, United States, Jonathan Winter, Dartmouth College, Department of Geography, Hanover, NH, United States, Kyle C McDonald, CUNY City College of New York, Earth and Atmospheric Sciences, New York, NY, United States, Vanessa M Escobar, NOAA National Environmental Satellite, Data, and Information Service, Silver Spring, DC, United States and Nick Steiner, The City College of New York, Earth and Atmospheric Science, New York, United States
Estimating crop yields and crop evapotranspiration distributions from remote sensing and geospatial agricultural data (228518)
Tiziana Smith, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States and Dennis McLaughlin, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States
Hydrologic modeling for monitoring water availability in Eastern and Southern Africa (246893)
Amy McNally1, Laura Harrison2, Shraddhanand Shukla3, Narcisa GABRIELA Pricope4 and Christa D Peters-Lidard1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, CA, United States, (3)UC Santa Barbara, Santa Barbara, CA, United States, (4)Mississippi State University, Department of Geosciences, Mississippi State, MS, United States
Regional crop gross primary production and yield estimation using fused Landsat-MODIS data (253201)
Mingzhu He, Beijing Normal University, School of National Safety and Emergency Management, Zhuhai, China, John S Kimball, University of Montana, Numerical Terradynamic Simulation Group, Missoula, United States, Marco P Maneta, Associate Professor, University of Montana, Geosciences, Missoula, MT, United States, Bruce D. Maxwell, Montana State University, Department of Land Resources & Environmental Science, Bozeman, MT, United States and Alvaro Moreno, Huntsville, AL, United States
Using Imaging Spectrometry to Approach Crop Classification from a Water Management Perspective (255767)
Sarah W Shivers, University of California Santa Barbara, Santa Barbara, CA, United States and Dar A Roberts, University of California, Santa Barbara, Department of Geography, Santa Barbara, United States
Water savings from reduced alfalfa cropping in California’s Upper San Joaquin Valley (261086)
Kunwar K. Singh, North Carolina State University Raleigh, Raleigh, NC, United States and Joshua Gray, North Carolina State University, Raleigh, United States
Monitoring Crop Productivity over the U.S. Corn Belt using an Improved Light Use Efficiency Model (275287)
Xiaocui Wu1, Xiangming Xiao2, Yao Zhang1, Yuanwei Qin3 and Russell Doughty4, (1)University of Oklahoma, Department of Microbiology and Plant Biology, Norman, OK, United States, (2)School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (3)University of Oklahoma Norman Campus, Norman, OK, United States, (4)California Institute of Technology, Pasadena, United States
Famine Early Warning Systems Network (FEWS NET) Agro-climatology Analysis Tools and Knowledge Base Products for Food Security Applications (282965)
Michael E Budde1, James Rowland2, Michelle Anthony3, Stephen Palka4, Joshua Martinez5 and Reza Hussain3, (1)USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, United States, (2)U.S. Geological Survey, Sioux Falls, United States, (3)Stinger Ghaffarian Technologies, Sioux Falls, SD, United States, (4)Innovate! Incorporated, Sioux Falls, SD, United States, (5)United Support Services, Sioux Falls, SD, United States
Nutrition security under extreme events (293144)
Alexandre Martinez, University of California, Irvine, Civil and Environmental Engineering, Irvine, United States

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