RTS-dataset
收藏DataCite Commons2026-05-02 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.19972660
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资源简介：
This dataset accompanies the SA-SegFormer RTS code repository for binary semantic segmentation of retrogressive thaw slumps (RTS). It contains raster chips, segmentation masks, multi-source environmental factor rasters, and CSV manifests used for training, validation, testing, and temporal-transfer experiments.
The archive includes:
- 2023 dataset: 1195 complete chips.- Required main split for model training: 837 training chips, 179 validation chips, and 179 testing chips.- 2024 dataset: 717 complete chips for cross-year/temporal-transfer experiments.- Three-fold test/evaluation outputs and manifests.- CSV manifests mapping each chip to its optical image, binary mask, and factor rasters.
Each SA-SegFormer sample is constructed from 13 input channels: RGB optical imagery plus 10 factor rasters: DEM, EVI, FTI, LST, NBR, NDMI, NDVI, TCB, TCG, and TCW. Original Chinese region names and tile filenames are preserved to maintain correspondence with the manifests.
The accompanying code is available at:
https://github.com/FX794726198/SA-SegFormer-RTS-open
After downloading, unzip the dataset archive at the root of the code repository and run:
```bashpython scripts/summarize_dataset.py
提供机构：
Zenodo
创建时间：
2026-05-02
