GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India

J Das, P Saha, R Mitra, A Alam, M Kamruzzaman - Heliyon, 2023 - cell.com
Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …

[PDF][PDF] GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT USING RANDOM FOREST AND SUPPORT VECTOR MACHINE MODELS: A CASE STUDY OF …

SH TUN, Z Changnv, F JAMIL - Acta Geodynamica et Geomaterialia, 2024 - irsm.cas.cz
ABSTRACT Chin State in Myanmar experiences frequent landslides annually. This research
aimed to construct GIS-based landslide susceptibility maps (LSMs) with two kinds of …

Appraisement of Landslide Propensity Mapping by Machine Learning Algorithm in Indian Siwalik Himalayan Region, Mirik and Kurseong

N Dey, P Das - Landslides in the Himalayan Region: Risk Assessment …, 2024 - Springer
Himalaya is the northern limit of the Indian subcontinent. Siwalik range is its southern
margin. The hilly Siwalik range is considered as the landslide-prone region. Mirik and …

Landslide Susceptibility Analysis by Frequency Ratio Model and Analytical Hierarchical Process in Mirik and Kurseong, Darjeeling Himalaya, India

N Dey, B Ojha, P Das - … , Risk Assessment and Sustainability: Application of …, 2024 - Springer
Landslide is a common phenomenon in the hilly region. The Himalayan region the one of
the best examples of this type of landslide-prone region. Kurseong subdivision is the study …

[PDF][PDF] INTEGRATED GEOTECHNICAL MODELLING AND REAL-TIME ANALYSIS FOR PREDICTING EARTHQUAKE-INDUCED LANDSLIDES AND ROCKFALLS IN …

AA Firoozi, AA Firoozi, K Aati, MS Rashid - researchgate.net
Background: The East African Fracture Zone (EAFZ) stands as a testament to the dynamic
forces of Earth, marked by heightened seismic activity that frequently triggers geotechnical …