Article

Integrating Geomorphology-Based Terrain Segmentation with Machine Learning for Landslide Susceptibility Assessment in the Darjeeling-Sikkim Himalaya, India

2026-05-13

Abstract excerpt

Precise assessment of landslide potential in tectonically active mountain areas like Darjeeling Sikkim Himalaya (DSH) is a scientific challenge due to the complexity of different landslide conditioning factors that control the slope stability. Despite several studies for landslide susceptibility mapping, most of the conventional methods struggle to capture the nonlinear relationships and spatial heterogeneity that...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: a4f4039a-6d48-5f79-be65-4cc707d1081a
DOI: 10.20944/preprints202605.0804.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrating Geomorphology-Based Terrain Segmentation with Machine Learning for Landslide Susceptibility Assessment in the Darjeeling-Sikkim Himalaya, IndiaDOI 10.20944/preprints202605.0804.v1Read

A Comparative Study of TabNet and Classical Machine Learning Models for Landslide PredictionSemantic proximity Read

Landslide Risk Assessment of Geological Hazards in Bengbu City Based on Hyperband-CatBoost and SHAP Interpretability FrameworkSemantic proximity Read

Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning modelsSemantic proximity Read

Landslide susceptibility mapping using machine learning techniques and comparison of their performance at Ziz upper watershed, Southeastern MoroccoSemantic proximity Read

Comparison of Landslide Susceptibility Mapping Based on Two Machine Learning Algorithm ModelsSemantic proximity Read

Landslide Susceptibility Analysis: A Case Study of Nainital Municipal AreaSemantic proximity Read

Landslide Susceptibility Zonation along NH 1D from Sonamarg to Kargil, North Western HimalayaSemantic proximity Read

Ensemble Machine Learning and GIS-Based Landslide Susceptibility Modeling: Insights from Fuyuan CountySemantic proximity Read

Status, challenges and opportunities of landslide susceptibility assessment in China: the perspective from national bibliometric analysis and global comparison for hazard mitigationSemantic proximity Read

Enhancing Landslide Susceptibility Mapping Through a Hybrid Model Utilizing Bivariate Methods and Convolutional Neural NetworksSemantic proximity Read

Gully erosion susceptibility assessment using machine learning techniques, Shazand watershed, IranSemantic proximity Read

Landslide Susceptibility Mapping Using Information Value Model with GIS in Wegeda Area, Northwestern EthiopiaSemantic proximity Read