Pixel-based forest classification of Sentinel-2 images using automatically generated datasets
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Contains six training datasets, composed of 800, 1600 and 3200 images. Each training dataset made up of OSM (<em>OpenStreetMap</em>) masks or HRL (<em>Copernicus pan-European High Resolution Layers</em>). Additional 2 evaluation datasets based on OSM and HRL. Composed of 200 evaluation images. For study area <em>lithuania_2018_06.tiff</em> is provided. This contains a fully preprocessed study area (removed clouds, composed mosaic). We provide additionally a merged mosaic of Lithuanian HRL in <em>lithuania_HRL.tiff </em>file. <em>OpenStreetMap</em> database is not provided, it can be found at https://planet.openstreetmap.org.
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Zenodo创建时间：
2022-05-14
