Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable …

YA Nanehkaran, B Chen, A Cemiloglu, J Chen… - Water, 2023 - mdpi.com
Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …

GIS-based expert knowledge for landslide susceptibility mapping (LSM): case of mostaganem coast district, west of Algeria

R Senouci, NE Taibi, AC Teodoro, L Duarte… - Sustainability, 2021 - mdpi.com
Landslides are one of the natural disasters that affect socioeconomic wellbeing. Accordingly,
this work aimed to realize a landslide susceptibility map in the coastal district of …

Prediction of highly flood prone areas by GIS based heuristic and statistical model in a monsoon dominated region of Bengal Basin

S Malik, SC Pal, I Chowdhuri, R Chakrabortty… - Remote Sensing …, 2020 - Elsevier
Flood has become one of the major environmental disasters in the world. A flood
susceptibility assessment for the River Dwarkeswar was performed in this article, and the …

Hybrid machine learning approach for landslide prediction, Uttarakhand, India

P Kainthura, N Sharma - Scientific reports, 2022 - nature.com
Natural disasters always have a damaging effect on our way of life. Landslides cause
serious damage to both human and natural resources around the world. In this paper, the …

Landslide susceptibility investigation for Idukki district of Kerala using regression analysis and machine learning

S Jones, AK Kasthurba, A Bhagyanathan… - Arabian Journal of …, 2021 - Springer
Kerala is the third most densely populated state in India, with 860 persons per square
kilometer. The uniqueness and diversity of the state's topology make it highly vulnerable to …

[HTML][HTML] UAV technique to localize landslide susceptibility and mitigation proposal: a case of Rinchending Goenpa landslide in Bhutan

K Tempa, K Peljor, S Wangdi, R Ghalley… - Natural Hazards …, 2021 - Elsevier
Natural hazards such as landslides impose very high risks to the community and
infrastructures. To mitigate such risk, proper long-term engineering solutions are must …

Indicator-based approach for assigning physical vulnerability of the houses to landslide hazard in the Himalayan region of India

S Bera, B Guru, T Oommen - International Journal of Disaster Risk …, 2020 - Elsevier
Although houses are the most affected physical element by landslides, studies on the
vulnerability of houses are limited, particularly in the Himalayan region. The present …

[HTML][HTML] Application of index of entropy and Geospatial techniques for landslide prediction in Lunglei district, Mizoram, India

J Barman, SS Ali, B Biswas, J Das - Natural Hazards Research, 2023 - Elsevier
The present study focuses on developing a landslide susceptibility zonation (LSZ) using GIS-
based bivariate statistical model in the Lunglei district of Mizoram. Initially, 17 factors were …

Landslide modeling in a tropical mountain basin using machine learning algorithms and shapley additive explanations

J Vega, FH Sepúlveda-Murillo… - Air, Soil and Water …, 2023 - journals.sagepub.com
Landslides are a geological hazard commonly induced by rainfall, earthquakes,
deforestation, or human activity causing loss of human life every year specially on highlands …

Application of geographically weighted principal component analysis and fuzzy approach for unsupervised landslide susceptibility mapping on Gish River Basin, India

T Basu, A Das, S Pal - Geocarto International, 2022 - Taylor & Francis
The reason behind the landslides in Darjeeling Himalaya varies from place to place.
Seepage of rainwater through fragile lithological structure initiates shallow landslides, while …