Using Certainty Factor as a Spatial Sample Filter for Landslide Susceptibility Mapping
The Case of the Upper Jinsha River Region, Southeastern Tibetan Plateau
Bibliographic Data
| ID | 22031273 |
|---|---|
| Authors | Xin Zhou (0000-0003-2640-6431, Chongqing Jiaotong University), Ke Jin (0000-0001-6513-3996, Chongqing Jiaotong University), Xiaohui Sun (0000-0003-1576-4903, Jilin University, corresponding author), Yunkai Ruan (0009-0007-7707-0778, Fujian Agriculture and Forestry University), Yiding Bao (0000-0001-7202-7569, Chinese Academy of Sciences), Xiulei Li (0000-0002-6455-5342, Chongqing Jiaotong University), Li Tang (0000-0001-8311-2507, Taiyuan University of Technology) |
| Year | 2025 |
| Volume | 14 |
| Issue | 9 |
| Pages | 339 |
| Publication date | 2025-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14090339 |
| OpenAlex | W4413894705 |
| Language | EN |
| References cited | 51 |
Landslide susceptibility mapping (LSM) faces persistent challenges in defining representative stable samples as conventional random selection often includes unstable areas, introducing spatial bias and compromising model accuracy. To address this, we redefine the certainty factor (CF) method—traditionally for factor weighting—as a spatial screening tool for stable zone delineation and apply it to the tectonically active upper Jinsha River (937 km2, southeastern Tibetan Plateau). Our approach first generates a preliminary susceptibility map via CF, using the natural breaks method to define low- and very low-susceptibility zones (CF
Geography · Geomorphology · Geotechnical engineering · Landslide · Physical geography · Cryospheric studies and observations · Fire effects on ecosystems · Landslides and related hazards · Mathematics · Geology
| Highly cited | No |
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