Accuracy of remotely sensed data: sampling and analysis procedures.

Authors

Russell G. Congalton, University of New HampshireFollow
Richard G. Oderwald, Virginia Polytechnic Institute and State University
Roy A. Mead, Virginia Polytechnic Institute and State University

Abstract

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.

Department

Natural Resources and the Environment

Publication Date

1-1-1982

Journal Title

Remote Sensing Research Report

Publisher

NTRS

Document Type

Article

Recommended Citation

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.

Rights

Work of the US Gov. Public Use Permitted.