Pixel-based forest classification of Sentinel-2 images using automatically generated datasets

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.本数据集包含6个训练数据集，分别由800张、1600张及3200张图像构成。每个训练数据集均由OSM（OpenStreetMap）掩码或HRL（Copernicus pan-European High Resolution Layers，哥白尼泛欧洲高分辨率图层）组成。另有2个基于OSM与HRL构建的评估数据集，总计包含200张评估图像。针对研究区域，我们提供了lithuania_2018_06.tiff文件，该文件为已完成全流程预处理的研究区域数据（已移除云层并完成镶嵌拼接）。此外，我们还在lithuania_HRL.tiff文件中提供了立陶宛HRL数据的合并镶嵌版本。OpenStreetMap数据库未随本数据集一同提供，用户可通过https://planet.openstreetmap.org获取该数据库。