ASSESSING THE ACCURACY OF LANDSAT THEMATIC MAPPER CLASSIFICATION USING DOUBLE SAMPLING

Double sampling was used to provide a cost efficient estimate of the a ccuracy of a Landsat Thematic Mapper (TM) classification map of a scen e located in the Rocky Mountain National Park, Colorado. In the first phase, 200 sample points were randomly selected to assess the accuracy between Landsat TM data and aerial photography. The overall accuracy and Kappa statistic were 49.5 per cent and 32.5 per cent, respectively . In the second phase, 25 sample points identified in the first phase were selected using stratified random sampling and located in the fiel d. This information was used to correct for misclassification errors a ssociated with the first phase samples. The overall accuracy and Kappa statistic increased to 59.6 per cent and 45.6 per cent, respectively.