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Automated image processing of Landsat II digital data for watershed runoff predictionDigital image processing of Landsat data from a 230 sq km area was examined as a possible means of generating soil cover information for use in the watershed runoff prediction of Kern County, California. The soil cover information included data on brush, grass, pasture lands and forests. A classification accuracy of 94% for the Landsat-based soil cover survey suggested that the technique could be applied to the watershed runoff estimate. However, problems involving the survey of complex mountainous environments may require further attention
Document ID
19780030907
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Sasso, R. R.
(California Univ. Santa Barbara, CA, United States)
Jensen, J. R.
(California Univ. Santa Barbara, CA, United States)
Estes, J. E.
(California, University Santa Barbara, Calif., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment
Location: Ann Arbor, MI
Start Date: April 25, 1977
End Date: April 29, 1977
Accession Number
78A14816
Funding Number(s)
CONTRACT_GRANT: NSG-722
Distribution Limits
Public
Copyright
Other

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