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Main Title Comparison of Systematic and Random Sampling for Estimating the Accuracy of Maps Generated from Remotely Sensed Data.
Author Stehman, S. V. ;
CORP Author State Univ. of New York Coll. of Environmental Science and Forestry, Syracuse.;Corvallis Environmental Research Lab., OR.
Publisher c1992
Year Published 1992
Report Number EPA/600/J-93/147;
Stock Number PB93-191443
Additional Subjects Maps ; Accuracy ; Statistical analysis ; Satellite imagery ; Remote sensing ; Reprints ; Random sampling ; Systematic sampling
Library Call Number Additional Info Location Last
NTIS  PB93-191443 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 9p
Properties of statistical analyses of error matrices generated for accuracy assessment of remote sensing classifications were evaluated for three sampling designs: systematic, stratified systematic unaligned, and simple random sampling (SRS). The population parameters investigated were the proportion of misclassified pixels, P, and the Kappa coefficient of agreement, K. Systematic designs were generally more precise than SRS for the populations studied, except when sampling in phase with periodicity in a population. Bias of the estimated proportion of misclassified pixels, P, was negligible for the systematic designs. The common practice of estimating the variance of P for systematic designs by using an SRS variance estimator resulted in over- or under-estimation of variance, depending on whether the systematic design was more or less precise than SRS. A small simulation study showed that the usual standard error formula for the estimated Kappa coefficient of agreement can perform poorly for systematic designs. (Copyright (c) 1992 American Society for Photogrammetry and Remote Sensing.)