Titre : Earth Observation Datasets for Change Detection in Forests Auteurs : Julius Akinyemi, Josiane Mothe, Nathalie Neptune, Revue : Information Retrieval, Document and Semantic Web Numéro : Issue 1 Volume : 2 Date : 2019/02/19 DOI : 10.21494/ISTE.OP.2019.0337 ISSN : 2516-3280 Résumé : The automatic detection of changes in forests (deforestation, reforestation) relies on various data sets. This article reviews data sets both global and local that can be used to evaluate tasks of land cover classification, change detection, segmentation and annotation of images for the analysis of deforestation and reforestation phenomena. Éditeur : ISTE OpenScience