INTERGRATING NASA EARTH SCIENCES ENTERPRISE DATA INTO GLOBAL AGRICULTURAL DECISION SUPPORT SYSTEMS

Goals / Objectives
The proposed project aims to provide practical, SEEDS-aligned, operational solutions, based primarily on Earth Science Enterprise (ESE) data, to Foreign Agriculture Service (FAS) and United Nations World Food Program (WFP), as well as other agricultural users of ESE-derived data products. The project will fully leverage results from previous, NASA-sponsored work existing capabilities of FAS and WFP in remote sensing, crop monitoring, information systems; as well as their existing network users.

Project Methods
The Goddard Earth Sciences Distributed Active Archive Center (GES DAAC) has effectively used its recently developed prototype TRMM online Visualization and Analysis System (TOVAS) to provide ESE data and information to the WFP for its agricultural drought monitoring efforts. The prototype system will be evolved into proposed Agricultural Information System (AIS), which will operationally provide ESE and other data products and services, to be dynamically intergrated into and thus enhance the existing GIS-based, decision supporty system of FAS and WFP. The AIS will be able to serve multiple tiers of users, so its usefulness will extend well beyond FAS and WFP into the general user communities.

Progress 12/18/03 to 11/15/06

Outputs
Progress Report 4d Progress report. This report documents the research conducted under a reimbursable between ARS and NASA to provide assistance in completion of objectives associated with the parent project 1265-12660-005-00D, "INTEGRATING REMOTE SENSING, CLIMATE AND HYDROLOGY FOR EVALUATING WATER, ENERGY AND CARBON CYCLES." The project required calibration and validation of a crop yield model in the Pampas region of central Argentina. Field data collection conducted in 2005 and model validation for corn crop yields was completed using data from 20 large fields. The calibrated model will be delivered to USDA/FAS for operational assessment of corn yields in Argentina.

Impacts
(N/A)

Publications

Progress 10/01/04 to 09/30/05

Outputs
4d Progress report. This report serves to document research conducted under a reimbursable agreement between the ARS Hydrology and Remote Sensing Laboratory and the National Aeronautics and Space Administration. Additional details of research can be found in the report for the parent project 1265-13610-026- 00D entitled, "INTEGRATING REMOTE SENSING, CLIMATE AND HYDROLOGY FOR EVALUATING WATER, ENERGY AND CARBON CYCLES." The project required the evaluation of a corn yield model applicable in the Pampas region of central Argentina to support foreign agricultural crop production assessment. A field study was conducted in Argentina in January 2005 with measurements of leaf area index for 20 selected fields. Ground truth data was also acquired for developing a landuse and crop classification. Corn yield models will be evaluated for most applicable in regional yield assessment and a model will be available for assessment of corn crop production in Argentina.

Impacts
(N/A)

Publications

Progress 10/01/03 to 09/30/04

Outputs
4. What were the most significant accomplishments this past year? This report documents the research conducted under a reimbursable between ARS and NASA to provide assistance in completion of objectives associated with the CRIS project 1265-13610-026-00D, Integrating Remote Sensing, Climate and Hydrology for Evaluating Water, Energy and Carbon Cycles. The three-year project was initiated during FY2003 with field data collection campaign in Central Oklahoma, to study the characteristics and applicability of the new MODIS satellite sensor for food and fiber production. This research will evaluate the use of biophysical parameters derived from MODIS sensor in a crop simulation model to assess regional winter wheat yields. The analyses of our research and the crop yield model results will be evaluated by the NASS Research Division for potential use in operational assessment of winter wheat production.

Impacts
(N/A)

Publications