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- Description:
- Title from title screen (viewed on Jan.21, 2011).
- Author:
- Cook, Paul W. , May, George. , Kestle, Richard A. , United States Dept. of Agriculture. Statistical Reporting Service. Statistical Research Division. , International Symposium on Remote Sensing of Environment 1984 : Paris, France)
- Subject:
- Agricultural estimating and reporting , Remote sensing , Winter wheat , Yields , Forecasting , Landsat satellites , Landsat , winter wheat , crop yield , estimation , remote sensing
- Year:
- 1984
- Description:
- 5 ref.
- Author:
- Huddleston, H.F. , Russell, R. , International Symposium on Remote Sensing of Environment, 13th, Ann Arbor, Mich., 1979.
- Subject:
- crop yield , crop acreage , sampling , prediction , remote sensing , Landsat , thematic maps , Jamaica
- Collection:
- Journal Articles, USDA Authors, Peer-Reviewed
- Year:
- 1979
- Description:
- Includes references
- Author:
- Doraiswamy, P.C. , Hatfield, J.L. , Jackson, TJ. , Akhmedov, B. , Prueger, J. , Stern, A.
- Subject:
- Landsat , satellites , remote sensing , image analysis , corn , soybeans , crop yield , simulation models , leaf area index , canopy , reflectance , soil water content , thematic maps , field experimentation , Iowa
- Collection:
- Journal Articles, USDA Authors, Peer-Reviewed
- Year:
- 2004
- Description:
- AgRISTARS (Agriculture and Resources Inventory Surveys Through Aerospace Remote Sensing) is a joint program of the U.S. Dept. of Agriculture, the National Aeronautics and Space Administration, the National Oceanic and Atmospheric Administration, the Agency for International Development, and the U.S. Dept. of the Interior.
- Author:
- Amis, M. L. , United States Dept. of Agriculture. , AgRISTARS (U.S.) , Lockheed Engineering and Management Services Company , Lyndon B. Johnson Space Center , United States National Aeronautics and Space Administration.
- Subject:
- Agricultural estimating and reporting , United States , Mathematical models , Crop yields , United States , estimation , crop yield , Landsat , cluster analysis , regression analysis , spectral analysis , United States
