Joint Poster Session 1 Advancing the Use of Earth Observations to Benefit Global Food Security and Agriculture

Monday, 8 January 2018: 4:15 PM-6:00 PM
Exhibit Hall 3 (ACC) (Austin, Texas)
Hosts: (Joint between the 32nd Conference on Hydrology; and the 13th Symposium on Societal Applications: Policy, Research and Practice )
Christa D. Peters-Lidard, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD; Danielle Wood, MIT, Cambridge, MA; Margaret M. Hurwitz, Science Systems and Applications, Inc., Greenbelt, MD and Bradley Doorn, NASA, Applied Sciences Program, Washington, DC

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. The global food system involves production and distribution with multiple stages in supply chains. Food security is inherently an issue involving natural aspects as well as social, economic, and political dimensions. There are opportunities to link environmental observations with social and economic data to generate information and provide insights to improve assessments of food security challenges and enhance agricultural practices.   Earth observations and Earth science data, models, and knowledge provide essential information and tools to support the functioning and resilience of food systems. For example, Earth observations have proven helpful with estimations of crop area and cropping intensities, agricultural productivity assessments, water planning and irrigation management, and crop yield modeling on a range of time scales. New research continues to expand the areas in which Earth observation informs food security effort. This session explores how products enabled by Earth observations can help transform food security—especially when observations are combined with information on the broader food system. We further examine how uses of remote sensing and geospatial data can enhance organizations' planning and operations, as well as support broader food security assessments, commodity pricing, risk assessments, and policy analysis. We invite submissions on (i) research advancing capabilities to apply Earth observation data within models and software tools to inform agricultural decision-making; (ii) research combining data, models, and methods derived from both social science and physical science to respond to food security challenges; (iii) examples of programmatic and technical approaches to build capacity within the food security and agricultural community to harness Earth observations to inform decision-making.

Views of the 2016 Northern Plains Flash Drought: Farmer Perspectives and Remote Sensing Data
Tonya Haigh, National Drought Mitigation Center, Lincoln, NE; and J. A. Otkin and A. Mucia

Seasonal-Scale Water Deficit Forecasting in Africa and the Middle East Using NASA’s Land Information System (LIS)
Christa D. Peters-Lidard, NASA Goddard Space Flight Center, Greenbelt, MD; and K. R. Arsenault, S. Shukla, A. Getirana, A. McNally, R. D. Koster, B. F. Zaitchik, H. S. Badr, J. M. Roningen, S. Kumar, and C. C. Funk

Examining the Value of Global Seasonal Reference Evapotranspiration Forecasts to Support FEWS NET's Food Insecurity Outlooks
Dan McEvoy, DRI, Reno, NV; and S. Shukla, M. Hobbins, G. Husak, J. Huntington, C. C. Funk, D. Macharia, and J. Verdin

A New Global Reference Evapotranspiration Reanalysis Forced by MERRA2: Opportunities for Famine Early Warning, Drought Attribution, and Improving Drought Monitoring
Michael Hobbins, CIRES, Boulder, CO; and C. Dewes, D. McEvoy, S. Shukla, L. S. Harrison, S. L. Blakeley, A. McNally, and J. P. Verdin

Changing Precipitation Patterns Challenges Food Security in the Indus Basin
Ashish Kondal, West Virginia Univ., Morgantown, WV; and M. Usmani, L. Lin, and A. Jutla

Combining Surface Climate and Satellite Vegetation Data to Understand Agricultural Productivity in China
You Wu, Nanjing University of Information Science and Technology, Nanjing, China; and X. Z. Liang

A New Remote-Sensing Indicator for Measuring Degree of Crop Damage due to Natural Disasters
Liping Di, George Mason Univ., Fairfax, VA; and E. Yu and R. Shrestha

The Research on Disastrous Law of Drought and Flood in Hubei Province in China
Yue Zhou, Institute of Heavy Rain, China Meteorological Administration, Wuhan, China; and Y. Zhou and L. Ye

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner