Accuracy assessment is a fundamental step after land cover classification in order to evaluate errors, globally and for each class, and finally evaluate the reliability of the map.
This post is a tutorial about accuracy assessment of a land cover classification using the Semi-Automatic Classification Plugin (SCP) for QGIS. We are going to use the function of SCP to create ROIs using stratified random points (a new function of SCP 6.4.0), which will be photo-interpreted and used as reference for the accuracy assessment. The SCP tool Accuracy will take care of the rest, providing the error matrix and the accuracy estimates.
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This post is a tutorial about accuracy assessment of a land cover classification using the Semi-Automatic Classification Plugin (SCP) for QGIS. We are going to use the function of SCP to create ROIs using stratified random points (a new function of SCP 6.4.0), which will be photo-interpreted and used as reference for the accuracy assessment. The SCP tool Accuracy will take care of the rest, providing the error matrix and the accuracy estimates.