Quantifying Analyst Bias in Mapping Flooded Areas from Landsat Images
Satellite images are classified by image analysts following disasters such as flooding, landslides, and wildfires. Results of the image classification process will be impacted by analyst bias which is unavoidable. If the results of the classification vary too much due to analyst bias, the derived map products might not be useful for post-disaster management. The goal of this study was to quantify the amount of bias introduced by the analysts while classifying the flooded areas in six Landsat images. In this study, six analysts classified a set of four post-flood Landsat images. Each analyst had ...
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