0.8 DEM and Multispectral Images for Retrogressive Thaw Slump Susceptibility Mapping

The stereo workflow included orbit correction, orthorectification, tie-point matching, epipolar image generation, dense stereo matching, disparity-to-elevation conversion, interpolation to a regular grid, and quality checking to reduce mismatches, abnormal elevation values, and local artifacts. RTS sample polygons were manually delineated from the Beiluhe scene and cross-checked by experienced interpreters; binary ground-truth rasters were then generated at the same 0.8 m resolution.No systematic missing data are expected in the submitted raster files.

Possible uncertainties mainly arise from stereo matching in weak-texture terrain, residual geometric misregistration, radiometric correction, and manual interpretation of RTS boundaries. All files are standard GeoTIFF rasters and can be opened in QGIS, ArcGIS, ENVI, GDAL, or Python-based geospatial libraries.