Evaluating landslide susceptibility and landscape changes due to road expansion using optimized machine learning

S Alqadhi, HT Hang, J Mallick, AFS Al Asmari - Natural Hazards, 2024 - Springer
Abstract The Garhwal and Kumaun regions of the Himalayas of India have experienced
rapid urbanisation due to the expansion of the national highway (NH-58) in Uttarakhand …

Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty …

S Dey, S Das - Earth Science Informatics, 2025 - Springer
Landslide susceptibility assessment has been a comprehensive tool for decision makers.
However, the efficacy of susceptibility model depends on factor selection and the scientific …

Recent rock avalanche event of July 10, 2024, near Patalganga Langsi Tunnel on the Badrinath Highway of Chamoli district, Uttarakhand, India

RK Dash, P Bartelt, Y Zhuang, Y Bühler, DP Kanungo - 2024 - Springer
The Indian Himalayan region is the origin of numerous natural hazards, including
landslides, earthquakes, floods, cloudbursts, etc.(Dash et al. 2021; Falae et al. 2021; …

Enhancing landslide inventory mapping through Multi-SAR image analysis: a comprehensive examination of current landslide zones

F Kadi, E Saralioglu - Acta Geodaetica et Geophysica, 2024 - Springer
Landslide inventory maps (LIMs) are a map type that provides information to the user about
the landslides. The high accuracy of this map enables outputs derived from it to be produced …

[PDF][PDF] Landslide Susceptibility MappingUsing Machine Learning A comparative study of automated machine learning and random forest for landslide susceptibility …

E Økland - 2024 - ntnuopen.ntnu.no
Løsmasseskred representerer en betydelig og økende trussel mot infrastruktur og
bebyggelse i Norge, med prognoser som indikerer en økning i alvorlighetsgrad grunnet …