A global-scale Sentinel-2 dataset for training machine learning models. We collected data from various parts of the globe and labelled them with 15 classes: Water, Snow, Clouds, Lava, Cirrus, Vegetation, Bare Soil, Ice, Cloud Shadow, Sand, Desert, Urban Area, Rocky Desert, Rock, Burnt Area, and Topological Shadow.The dataset consists of sample points obtained from Sentinel-2 imagery, visually inspected and manually labelled with above-mentioned classes.
DE FELICE Luca;
PEKEL Jean Francois;
UGOLOTTI Roberto;
KEMPENEERS Pieter;
2023-10-04
European Commission
JRC135197
https://publications.jrc.ec.europa.eu/repository/handle/JRC135197,
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