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Application of remote sensing to state and regional problemsThe author has identified the following significant results. The Lowndes County data base is essentially complete with 18 primary variables and 16 proximity variables encoded into the geo-information system. The single purpose, decision tree classifier is now operational. Signatures for the thematic extraction of strip mines from LANDSAT Digital data were obtained by employing both supervised and nonsupervised procedures. Dry, blowing sand areas of beach were also identified from the LANDSAT data. The primary procedure was the analysis of analog data on the I2S signal slicer.
Document ID
19790017275
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Miller, W. F. (Mississippi State Univ. Mississippi State, MS, United States)
Quattrochi, D. A. (Mississippi State Univ. Mississippi State, MS, United States)
Carter, B. D. (Mississippi State Univ. Mississippi State, MS, United States)
Higgs, G. K. (Mississippi State Univ. Mississippi State, MS, United States)
Solomon, J. L. (Mississippi State Univ. Mississippi State, MS, United States)
Wax, C. L. (Mississippi State Univ. Mississippi State, MS, United States)
Date Acquired
September 4, 2013
Publication Date
May 1, 1979
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
SAPR-11
E79-10196
NASA-CR-158510
Accession Number
79N25446
Funding Number(s)
CONTRACT_GRANT: NGL-25-001-054
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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