Accuracy of Remotely Sensed Data: Sampling and Analysis Procedures

摘要

The report is divided into two parts. The first part presents a review and update of the discrete multivariate analysis techniques used for accuracy assessment. Appendix A contains a listing of the computer program written to implement these techniques. The second part presents new work on evaluating accuracy assessment using Monte Carlo simulation with different sampling schemes. Appendix B contains the results of the accuracy assessment analysis for the eight error matrices from the mapping effort of the San Juan National Forest. Appendix C contains a method of estimating the sample size requirements for implementing the accuracy assessment procedures. Appendix D contains a proposed method for determining the reliability of change detection between two maps of the same area produced at different times.