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Use of LANDSAT Classified Pixels for Estimating Annual Livestock and Crop Inventories

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  • Huddleston, Harold F.
  • Steele, Ronald

Abstract

The U.S. Department of Agriculture (USDA) has been exploring methods of using remote sensing as a basis for improving survey methodology. This paper discusses digital techniques employing computer classification of pixels with ground enumerated livestock inventories for the State of Iowa during 1978. The methods of analyses include discriminant functions for classification of LANDSAT tapes and regression methods for making estimates of livestock numbers based on double sampling employing an area sampling frame. The results were much less promising than for acreage estimates, but similar to results for crop yield forecasts. These small gains in estimating efficiencies may have, in part, been due to the time interval between the dependent variable (livestock numbers) and independent variables (classified pixels). However, the combined gains in crop acreages, yields, and production when added to modest gains expected for livestock indicate that the combined economic benefits for agriculture are important.

Suggested Citation

  • Huddleston, Harold F. & Steele, Ronald, 1979. "Use of LANDSAT Classified Pixels for Estimating Annual Livestock and Crop Inventories," Economics Statistics and Cooperative Services (ESCS) Reports 329634, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerscs:329634
    DOI: 10.22004/ag.econ.329634
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    File URL: https://ageconsearch.umn.edu/record/329634/files/LandsatInventoriesPixels.pdf
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    References listed on IDEAS

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    1. Wigton, William H. & Huddleston, Harold F., 1978. "A Land Use Information System Based on Statistical Inference," Economics Statistics and Cooperative Services (ESCS) Reports 329564, United States Department of Agriculture, Economic Research Service.
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