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Research Project: A Method for Disaggregating Nass State Yield Estimates to County and Agriculture Statistics District Yields Using Modis Imagery

Location: Hydrology and Remote Sensing Laboratory

2009 Annual Report


1a.Objectives (from AD-416)
Develop a methodology to disaggregate NASS state level crop yield estimates made in August to country and Agricultural Statistics District estimates using MODIS imagery and climate data.


1b.Approach (from AD-416)
NASS/USDA has the mandate to report crop yields by state at the end of the crop season. Ground-based statistical samples of crop parameters are collected during the season and a final estimate based in statistical methods. Crop yields at county and agricultural statistics district (ASD) levels is needed to complement the state estimates in a timely manner. The proposal research will develop quantitative assessment of crop yield by analyzing the cumulative normalized difference vegetation index (NDVI) values derived from MODIS imagery for selected periods of crop development and integrating with climatic data. A yield potential index will be developed for each county and ASD. NASS will multiply the indices with their state estimates to assess the yield for each county ASD within the state.


3.Progress Report
Extended operational evaluation of the corn and soybean crop yield algorithms to predict yields in MN and NE. Results for the 2008 yield predictions are being evaluated against the NASS county and state yield estimates.


   

 
Project Team
Doraiswamy, Paul
 
Project Annual Reports
  FY 2009
 
Related National Programs
  Water Availability and Water Management (211)
 
 
Last Modified: 03/04/2010
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