[HTML][HTML] Landslide susceptibility assessment in the Himalayan range based along Kasauli–Parwanoo road corridor using weight of evidence, information value, and …

AH Alsabhan, K Singh, A Sharma, S Alam… - Journal of King Saud …, 2022 - Elsevier
The Himalayan region is prone to landslides. Rainfall-induced slope failure activities in the
Indian Himalaya cause considerable damage, posing a serious risk to life and property. This …

Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy

M Mehrabi - Natural Hazards, 2021 - Springer
This study deals with landslide susceptibility mapping in the northern part of Lecco Province,
Lombardy Region, Italy. In so doing, a valid landslide inventory map and thirteen …

Comparison of LiDAR-and UAV-derived data for landslide susceptibility mapping using Random Forest algorithm

F França Pereira, T Sussel Gonçalves Mendes… - Landslides, 2023 - Springer
Earthquakes, extreme rainfall, or human activity can all cause landslides. Several landslides
occur each year around the world, often resulting in casualties and economic …

Groundwater potential mapping in hubei region of china using machine learning, ensemble learning, deep learning and automl methods

Z Bai, Q Liu, Y Liu - Natural Resources Research, 2022 - Springer
Freshwater scarcity has become more widespread on a global scale in recent years. Surface
water resources are no longer sufficient to meet the demands of human productivity and …

Landslide susceptibility assessment of a part of the Western Ghats (India) employing the AHP and F-AHP models and comparison with existing susceptibility maps

SB Bhagya, AS Sumi, S Balaji, JH Danumah… - Land, 2023 - mdpi.com
Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in
the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives …

An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India

SA Ali, F Parvin, QB Pham, KM Khedher, M Dehbozorgi… - Natural Hazards, 2022 - Springer
This study examined landslide susceptibility, an increasingly common problem in
mountainous regions across the world as a result of urbanization, deforestation, and various …

A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)

M Hasanuzzaman, A Islam, B Bera, PK Shit - … Chemistry of the Earth, Parts A …, 2022 - Elsevier
Flood is the most common phenomenon causing extensive disruption to the environment,
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …

Assessment analysis of flood susceptibility in tropical desert area: a case study of Yemen

AR Al-Aizari, YA Al-Masnay, A Aydda, J Zhang… - Remote Sensing, 2022 - mdpi.com
Flooding is one of the catastrophic natural hazards worldwide that can easily cause
devastating effects on human life and property. Remote sensing devices are becoming …

Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms

F Parvin, SA Ali, B Calka, E Bielecka, NTT Linh… - Theoretical and Applied …, 2022 - Springer
Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …

Comparative analysis of tree-based ensemble learning algorithms for landslide susceptibility mapping: A case study in Rize, Turkey

A Yavuz Ozalp, H Akinci, M Zeybek - Water, 2023 - mdpi.com
The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to
its geological, geographical, and climatic characteristics. Landslides in this region inflict both …