Data · dataset · 2026
A Multi-source Fusion Landslide Inventory and Susceptibility Assessment Dataset for Gilgit-Baltistan, Pakistan
Listed in ScienceDB
As a pivotal section of the northern China-Pakistan Economic Corridor (CPEC), the Gilgit-Baltistan (GB) region exhibits complex conditions for landslide development due to frequent tectonic activities and significant topographic relief.
Description
However, restricted accessibility in high-altitude canyon areas has led to significant spatial sampling bias in existing landslide inventories, thereby compromising the reliability of regional disaster risk assessments.
To address these issues, this study constructed a multi-source landslide inventory and a high-precision landslide susceptibility assessment dataset covering the entire GB region. The study employed a multi-scale segmentation method to delineate geomorphologically meaningful slope units. It systematically integrated historical public records, field survey data, and landslide points identified via Intermittent Small Baseline Subset (IStacking) time-series deformation analysis and verified by high-resolution optical imagery, constructing a spatiotemporally complementary multi-source landslide inventory system covering the period from 1970 to 2024.
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On this basis, the CatBoost algorithm, which possesses superior capabilities in handling categorical features, was selected to conduct landslide susceptibility modeling combined with a multi-source data fusion strategy, generating spatial distribution results of landslide susceptibility in the study area. This dataset contains 11 landslide conditioning factors, multi-source landslide inventory data, and corresponding landslide susceptibility assessment results, which to a certain extent mitigates the issues of missed detection and spatial sampling bias common in single-source data for high-altitude mountainous areas.
The related results can provide a reliable data foundation and technical support for infrastructure route selection, disaster prevention and mitigation planning, and geological disaster risk management along the China-Pakistan Economic Corridor.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.28394 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.28394 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |