AcATaMa is a powerful and complete Qgis plugin for accuracy assessment designed for land use/land cover classification, including supervised/unsupervised classification or any thematic map. It provides comprehensive support for sampling, response design and estimation within a design-based inference framework. The primary goal of AcATaMa is to equip users with the necessary tools to comply with international guidance and best practices for sampling design, estimation of land category areas and changes, and map accuracy assessment.

To ensure a good accuracy assessment AcATaMa provides three components: sampling design, used to select the reference sample; the response design, which allows the evaluation protocol, and finally, the analysis procedures with different estimators. AcATaMa has been manually tested with multiple real examples for all user cases in order to guarantee the quality of the results.

Read more in the documentation here: https://smbyc.github.io/AcATaMa

Source code, issue tracker, QA and ideas:https://github.com/SMByC/AcATaMa
The home plugin in plugins.qgis.org: https://plugins.qgis.org/plugins/AcATaMa/

AcATaMa was developing, designed and implemented by the Group of Forest and Carbon Monitoring System (SMByC), operated by the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM) - Colombia.

Author and developer: Xavier C. Llano [email protected]
Documentation, testers and product verification: Gustavo Galindo, Jhonatan Andrés Arias, Katerine Vergara

Llano, X. (2022), SMByC-IDEAM. AcATaMa - QGIS plugin for Accuracy Assessment of Thematic Maps, version XX.XX. Available in https://github.com/SMByC/AcATaMa

AcATaMa is a free/libre software and is licensed under the GNU General Public License.