Accuracy of remotely sensed data: sampling and analysis procedures.
A 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.
Natural Resources and the Environment
Remote Sensing Research Report
Congalton, R. G., R. G. Oderwald, and R. A. Mead 1982. Accuracy of remotely sensed data: sampling and analysis procedures. Remote Sensing Research Report 82-1. Agristars Report RR-U2-04257, Coop Agreement 13-1134. 83 pp.
Work of the US Gov. Public Use Permitted.