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Accuracy of remotely sensed data: Sampling and analysis proceduresA review and update of the discrete multivariate analysis techniques used for accuracy assessment is given. A listing of the computer program written to implement these techniques is given. New work on evaluating accuracy assessment using Monte Carlo simulation with different sampling schemes is given. The results of matrices from the mapping effort of the San Juan National Forest is given. A method for estimating the sample size requirements for implementing the accuracy assessment procedures is given. A proposed method for determining the reliability of change detection between two maps of the same area produced at different times is given.
Document ID
19830010943
Document Type
Other
Authors
Congalton, R. G.
(Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Oderwald, R. G.
(Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Mead, R. A.
(Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Date Acquired
September 4, 2013
Publication Date
January 1, 1982
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
PB82-250432
NFAP-276
REMOTE-SENSING-RR-82-1
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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