Pixel-based forest classification of Sentinel-2 images using automatically generated datasets
收藏NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/6548614
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资源简介：
Contains six training datasets, composed of 800, 1600 and 3200 images. Each training dataset made up of OSM (OpenStreetMap) masks or HRL (Copernicus pan-European High Resolution Layers).
Additional 2 evaluation datasets based on OSM and HRL. Composed of 200 evaluation images.
For study area lithuania_2018_06.tiff is provided. This contains a fully preprocessed study area (removed clouds, composed mosaic).
We provide additionally a merged mosaic of Lithuanian HRL in lithuania_HRL.tiff file.
OpenStreetMap database is not provided, it can be found at https://planet.openstreetmap.org.
创建时间：
2024-07-16
