Comparative assessment of landslide susceptibility in Fugu town using machine learning models at multiple grid resolutions
Shuhang Ni, Yang Xie · 2025
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Description
Shuhang Ni and Yang Xie compare landslide risk maps at three map scales in a Chinese loess town, in a study published in two thousand twenty-five. Fugu Town sits in hilly northern Shaanxi, where landslides threaten lives and infrastructure. Prediction is complicated by terrain, rock type, and human activity.
Two machine learning models, random forest and a boosting method, were run at fifteen, thirty, and sixty meter grid resolutions. Earlier studies disagreed about whether finer grids help. Resolution significantly changed prediction accuracy and map patterns here. The analysis quantifies how model choice and scale interact rather than treating each separately. Emergency planners need to know which combination deserves trust before drawing evacuation and building zones.
Catalog record
| CREATOR | Shuhang Ni, Yang Xie |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |