Update and review of accuracy assessment techniques for remotely sensed data.

Authors

Russell G. Congalton, University of New HampshireFollow
Joel T. Heinen, Virginia Polytechnic Institute and State University
Richard G. Oderwald, Virginia Polytechnic Institute and State University

Abstract

Research performed in the accuracy assessment of remotely sensed data is updated and reviewed. The use of discrete multivariate analysis techniques for the assessment of error matrices, the use of computer simulation for assessing various sampling strategies, and an investigation of spatial autocorrelation techniques are examined.

Department

Natural Resources and the Environment

Publication Date

1-1-1983

Journal Title

Remote Sensing Research Report

Publisher

NTRS

Document Type

Article

Recommended Citation

Congalton, R. G., J. T. Heinen, and R. G. Oderwald. 1983. Update and review of accuracy assessment techniques for remotely sensed data. Remote Sensing Research Report 83-1. Final Report for Nationwide Forestry Applications Program. Coop Agreement 13-1134. 34 pp.

Rights

Work of the US Gov. Public Use Permitted.