CROP type analysis using Landsat digital dataClassification and statistical sampling techniques for crop type discrimination using Landsat digital data have been developed by the University of California in cooperation with NASA and the California Department of Water Resources. Ratioed bands (MSS 7/5 and 5/4) and a sun-angle corrected Euclidean albedo band were prepared from data for the Sacramento Valley for five different dates. The test area was stratified into general crop groupings based on the particular patterns of irrigation timing for each crop. Data classified within each stratum were used to produce a crop type map. Comparison with ground data indicates that certain crops and crop groups are discernable. Small grains and rice are easily identifiable, as are deciduous fruit varieties as a group. However, it is not feasible to separate various fruit and nut varieties, or separate vegetable crops with these techniques at present.
Document ID
19820059911
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Brown, C. E. (California Univ. Berkeley, CA, United States)
Thomas, R. W. (California Univ. Berkeley, CA, United States)
Wall, S. L. (California, University Berkeley, CA, United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1981
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Society of Photogrammetry and American Congress on Surveying and Mapping, Fall Technical Meeting