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United States Department of Agriculture

Agricultural Research Service

Title: An Interoperable, Agricultural Information System Based on Satellite Remote Sensing Data

Authors
item Teng, William - NASA GSFC DAAC
item Chiu, Long - GEORGE MASON UNIV
item Doraiswamy, Paul
item Kemler, Steven - NASA GSFC
item Liu, Zhong - NASA GSFC DAAC
item Pham, Long - NASA GSFC DAAC
item Rui, Hualan - NASA GSFC DAAC

Submitted to: American Society for Photogrammetry and Remote Sensing Proceedings
Publication Type: Proceedings
Publication Acceptance Date: December 12, 2004
Publication Date: March 7, 2005
Citation: Teng, W., Chiu, L., Doraiswamy, P., Kempler, S., Liu, Z., Pham, L., Rui, H. 2005. An interoperable, agricultural information system based on satellite remote sensing data. In: Proceedings of the American Society for Photogrammetry and Remote Sensing 2005 Annual Conference, March 7-11, 2005, Baltimore, Maryland. 2005 CDROM.

Technical Abstract: 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. The Goddard Space Flight Center Earth Sciences Data and Information Services Center Distributed Active Archive Center (GES DISC DAAC) is developing an Agricultural Information System (AIS), evolved from an existing TRMM Online Visualization and Analysis System (TOVAS), which will operationally provide satellite remote sensing data products (e.g., rainfall) and services. The data products will include crop condition and yield prediction maps, generated from a crop growth model with satellite data inputs, in collaboration with the USDA Agricultural Research Service. The AIS will enable the remote, interoperable access to distributed data, by using the GrADS-DODS Server (GDS) and by being compliant with Open GIS Consortium standards. Users will be able to download individual files, perform interactive online analysis, as well as receive operational data flows. AIS outputs will be integrated into existing operational decision support systems for global crop monitoring, such as those of the USDA Foreign Agricultural Service and the U.N. World Food Program.

Last Modified: 7/28/2014
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