Скачать или смотреть Accuracy Assessment using QGIS | Validation of Land Use & Land Cover Classification

Accuracy Assessment using QGIS | Validation of Land Use & Land Cover Classification
This topic explains how to carry out accuracy assessment in QGIS for Land Use and Land Cover (LULC) classification using the Semi-Automatic Classification Plugin (SCP). It covers the creation and use of reference data, generation of the confusion matrix, interpretation of producer’s accuracy, user’s accuracy, overall accuracy, and kappa coefficient, and the use of area-based error matrices for reliable land-cover validation. The workflow is suitable for both current and historical datasets and aligns with standard practices in GIS and remote sensing research.

A confusion matrix is a table used to evaluate the performance of a classification model by comparing predicted classes against actual (reference) classes.