Land use and land cover as a conditioning factor in landslide susceptibility: a literature review
R Pacheco Quevedo, A Velastegui-Montoya… - Landslides, 2023 - Springer
Landslide occurrence has become increasingly influenced by human activities. Accordingly,
changing land use and land cover (LULC) is an important conditioning factor in landslide …
changing land use and land cover (LULC) is an important conditioning factor in landslide …
[HTML][HTML] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
Y Achour, HR Pourghasemi - Geoscience Frontiers, 2020 - Elsevier
Landslides are abundant in mountainous regions. They are responsible for substantial
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …
Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study
Multi-hazard assessment modeling comprises an essential tool in any plan that aims to
mitigate the impact of future natural disasters. For a particular area they can be generated by …
mitigate the impact of future natural disasters. For a particular area they can be generated by …
Optimization of computational intelligence models for landslide susceptibility evaluation
X Zhao, W Chen - Remote Sensing, 2020 - mdpi.com
This paper focuses on landslide susceptibility prediction in Nanchuan, a high-risk landslide
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …
A machine learning approach in spatial predicting of landslides and flash flood susceptible zones for a road network
In mountainous regions, landslides and flash floods are common and dangerous natural
hazards. They often happen at the same time and seriously affect residential areas and …
hazards. They often happen at the same time and seriously affect residential areas and …
Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping
AM Youssef, BA El‑Haddad, HD Skilodimou… - Natural Hazards, 2024 - Springer
Each year, thousands of tourists visit Egypt's Wadi Feiran region, which is one of the most
popular tourist sites in the Sinai Peninsula. The region's topography is distinctive and …
popular tourist sites in the Sinai Peninsula. The region's topography is distinctive and …
Landslide susceptibility assessment using integrated deep learning algorithm along the China-Nepal highway
L Xiao, Y Zhang, G Peng - Sensors, 2018 - mdpi.com
The China-Nepal Highway is a vital land route in the Kush-Himalayan region. The
occurrence of mountain hazards in this area is a matter of serious concern. Thus, it is of …
occurrence of mountain hazards in this area is a matter of serious concern. Thus, it is of …
Repeated UAV campaigns, GNSS measurements, GIS, and petrographic analyses for landslide mapping and monitoring
Landslides are posing a significant global hazard as they occur instantaneously with
devastating consequences. The development of new remote sensing technologies and …
devastating consequences. The development of new remote sensing technologies and …
Study on landslide susceptibility mapping based on rock–soil characteristic factors
X Yu, K Zhang, Y Song, W Jiang, J Zhou - Scientific reports, 2021 - nature.com
This study introduces four rock–soil characteristics factors, that is, Lithology, Rock Structure,
Rock Infiltration, and Rock Weathering, which based on the properties of rock formations, to …
Rock Infiltration, and Rock Weathering, which based on the properties of rock formations, to …
Landslide mapping and susceptibility assessment using geospatial analysis and earth observation data
E Psomiadis, A Papazachariou, KX Soulis, DS Alexiou… - Land, 2020 - mdpi.com
The western part of Crete Island has undergone serious landslide events in the past. The
intense rainfalls that took place in the September 2018 to February 2019 period provoked …
intense rainfalls that took place in the September 2018 to February 2019 period provoked …