Integrating NASA Earth Science Data into USDA Global Agricultural Models and Decision Support Systems, and UN World Food Programme Crop Monitoring Decision Support Systems
Steve
Kempler, NASA/GSFC Earth Sciences Data and Information Services Center (DISC), Steven.J.Kempler@nasa.gov
(Presenting)
William
Teng, NASA/GSFC Earth Sciences Data and Information Services Center (DISC), William.L.Teng@nasa.gov
Paul
Doraiswamy, USDA/Agricultural Research Service, pdoraiswamy@hydrolab.arsusda.gov
Zhong
Liu, NASA/GSFC Earth Sciences Data and Information Services Center (DISC), zliu@pop600.gsfc.nasa.gov
Robert
Tetrault, USDA/Foreign Agricultural Service, Robert.Tetrault@usda.gov
Long
Chiu, NASA/GSFC Earth Sciences Data and Information Services Center (DISC), lchiu@pop600.gsfc.nasa.gov
Lenard
Milich, UN World Food Programme, Lenard.Milich@WFP.org
Monitoring global agricultural crop conditions during the growing season and estimating potential seasonal production are critically important for market development of U.S. agricultural products and for global food security. Two major operational users of satellite remote sensing for global crop monitoring are the USDA Foreign Agricultural Service (FAS) and the U.N. World Food Program (WFP). The primary goal of FAS is to improve foreign market access for U.S. agricultural products. The WFP uses food to meet emergency needs and to support economic and social development. Both use global agricultural decision support systems that can integrate and synthesize a variety of data sources to provide accurate and timely information on global crop conditions. In addition, new products that further support agricultural decision support systems, using remote sensing data as inputs, are continuously being developed by USDA Agricultural Research Service (ARS). The integration of relevant NASA Earth Science data into the modeling and operational systems employed by these agencies will greatly enhance the accuracy and timely assessments of global agricultural crop conditions during the growing season.
This poster presentation describes the details and accomplishments of the NASA funded project that provides specific required NASA remote sensing data products that enhance decision support system accuracy. The project is comprised of 6 activities: Activities 1 and 2 are the development of operational, agriculture-oriented data products derived from MODIS and TRMM, based on extensions of previous NASA-sponsored work; Activity 3 is the generation of a MODIS 250-m, 10-day composite surface reflectance product, developed to be consistent with FASs 10-day boundary products; Activity 4 is the development of an Agricultural Information System (AIS), based on the existing Goddard Earth Sciences Data and Information Services Center (GES DISC) data analysis and visualization system, Giovanni; Activities 5 and 6 are the integration of ESE products into the existing decision support systems of FAS and WFP, respectively.
Project accomplishments, including new products, data validation results, data access displays, new data management technologies employed, and real and potential impacts to agricultural decision support systems will be presented.