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Autocorrelation in Landsat dataMany computer algorithms for the analysis of Landsat data have a statistical basis which requires that the observations comprise independent samples. Four distinct methods are employed to show that this assumption commonly is not fulfilled for these data. Each leads to a similar conclusion; the data must be sampled no closer than every 10th pixel in order to yield independent estimators. The implications of this are illustrated with a simple example.
Document ID
19800038313
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Craig, R. G.
(Kent State University Kent, Ohio, United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1979
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment
Location: Ann Arbor, MI
Start Date: April 23, 1979
End Date: April 27, 1979
Accession Number
80A22483
Funding Number(s)
CONTRACT_GRANT: NAS9-13406
Distribution Limits
Public
Copyright
Other

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