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The assessment of the accuracy of a map aims to compare a classified map with reference data to know how much the produced map corresponds to reality considering a sample. In the video I explain how to generate the accuracy of a map through a confusion matrix using the AcATaMa plugin in QGIS, a usage and coverage raster from Mapbiomas and a satellite image from Google. The final result is a confusion matrix with the global accuracy, user accuracy, producer accuracy and other spreadsheets. In the video I also explain some concepts and how to interpret the matrix. AcATaMa plugin documentation: Link ↠ https://smbyc.github.io/AcATaMa/ Open Google image in QGIS using the QuickMapServices plugin: Link ↠ • How to open Google image in QGIS p... Reference of the concepts presented: CONGALTON, Russel G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment. v. 37, p. 35-46, 1991. Link: https://www.sciencedirect.com/science... Following some recommendations, we decided to leave our Pix, in case you want to collaborate with the project. Pix: [email protected] (Jocilene Barros). Thank you very much. Blog ↠ https://www.geoaplicada.com/blog Youtube ↠ / geoaplicada Facebook ↠ https://fb.me/geoaplicada