Original Data for "Transient Freezing-Rain Icing on a Pre-Conditioned Slope Triggered the 22 January 2024 Liangshui Landslide, Yunnan, China"
收藏Zenodo2025-06-17 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.15682946
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资源简介:
This archive contains the key data folders underlying the figures and analyses in“Transient Freezing-Rain Icing on a Pre-Conditioned Slope Triggered the 22 January 2024 Liangshui Landslide, Yunnan, China”.
Directory structure:
Factors for landslide susceptibility/• CSV files of normalized environmental predictors(elevation, slope, aspect, curvature, distances to faults/rivers/roads, lithology, land use, rainfall intensity)
Landslide susceptibility calculated by different machine learning models/• GeoTIFF susceptibility maps produced by SVM, RF, CNN, GBDT, LR, KNN and GNB
Slope gradient around the landslide/• GeoTIFF raster of slope gradient covering the study area
Landcover around the landslide/• GeoTIFF landcover classification raster
Average displacement rate around the landslide/• GeoTIFF raster of InSAR-derived average LOS displacement rate
Distribution of slope direction of the landslide and its surroundings/• GeoTIFF aspect (slope direction) raster
The accumulated displacement at four times/• Four GeoTIFF rasters of cumulative LOS displacement for– 2021-01-22– 2022-01-17– 2023-01-12– 2024-01-19
Coherence of time series InSAR results/• GeoTIFF rasters of interferometric coherence for all image pairs
Landslide area/• Shapefile delineating the landslide polygon boundary
Three-level_hydrological_network_around_the_landslide/• Shapefiles of primary, secondary and tertiary hydrological networks derived from DEM
Point_data_of_average_and_time_series_displacements_within_the_landslide_area/• Shapefile of the four monitoring points with their average and time-series displacement attributes
For reproduction scripts or questions, please contact Qiang Xu (xq@cdut.edu.cn).
提供机构:
Zenodo
创建时间:
2025-06-17



