Results 1 to 10 of about 2,034 (116)

Uncertainties of landslide susceptibility prediction considering different landslide types

Journal of Rock Mechanics and Geotechnical Engineering, 2023
Most literature related to landslide susceptibility prediction only considers a single type of landslide, such as colluvial landslide, rock fall or debris flow, rather than different landslide types, which greatly affects susceptibility prediction ...
Faming Huang, Chi Yao, Filippo Catani
exaly   +3 more sources

Dynamic path-dependent landslide susceptibility modelling [PDF]

Natural Hazards and Earth System Sciences, 2020
This contribution tests the added value of including landslide path dependency in statistically based landslide susceptibility modelling. A conventional pixel-based landslide susceptibility model was compared with a model that includes landslide path ...
J. Samia, J. Samia, J. Samia, A. Temme, A. Temme, A. Bregt, J. Wallinga, F. Guzzetti, F. Ardizzone   +8 more
doaj   +5 more sources

Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map

ISPRS International Journal of Geo-Information, 2023
Though danger prediction and countermeasures for landslides are important, it is fundamentally difficult to take preventive measures in all areas susceptible to dangerous landslides. Therefore, it is necessary to perform landslide susceptibility mapping,
Masanori Kohno, Yuki Higuchi
doaj   +2 more sources

Landslide Susceptibility Mapping in Brazil: A Review [PDF]

Geosciences, 2021
Landslide susceptibility studies are a common type of landslide assessment. Landslides are one of the most frequent hazards in Brazil, resulting in significant economic and social losses (e.g., deaths, injuries, and property destruction). This paper presents a literature review of susceptibility mapping studies in Brazil and analyzes the methods and ...
Helen Cristina Dias, Daniel Hölbling, Carlos Henrique Grohmann   +2 more
openaire   +3 more sources

Deep learning-based landslide susceptibility mapping [PDF]

Scientific Reports, 2021
AbstractLandslides are considered as one of the most devastating natural hazards in Iran, causing extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas can be used to plan for and mitigate the consequences of catastrophic landsliding events.
Mohammad Azarafza, Mehdi Azarafza, Haluk Akgün, Peter M. Atkinson, Reza Derakhshani   +4 more
openaire   +4 more sources

Implementing landslide path dependency in landslide susceptibility modelling [PDF]

Landslides, 2018
Landslide susceptibility modelling--a crucial step towards the assessment of landslide hazard and risk--has hitherto not included the local, transient effects of previous landslides on susceptibility. In this contribution, we implement such transient effects, which we term Blandslide path dependency^, for the first time.
Jalal Samia (1, 4), Arnaud Temme (2, 5), Arnold K. Bregt (1), Jakob Wallinga (4), John Stuiver (1), Fausto Guzzetti (3), Francesca Ardizzone (3), Mauro Rossi (3)   +9 more
openaire   +3 more sources

GIS-based analytical hierarchy process, weight of evidence and logistic regression models for the landslide susceptibility predicting in Echorfa Region (northwestern of Algeria)

Bulletin of the Mineral Research and Exploration, 2023
The main objective of this study is destined to combine the Analytical Hierarchy Process (AHP), Weight of Evidence (WOE), Logistic Regression (LR) methods and geographic information system (GIS) to predict landslide susceptibility of the Echorfa region ...
Nadjı Abdelmansour, Roukh Zine El Abidine   +1 more
doaj   +1 more source

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Remote Sensing, 2021
Although numerous models have been employed to address the issue of landslide susceptibility at regional scale, few have incorporated landslide typology into a model application.
Heping Shu, Zizheng Guo, Shi Qi, Danqing Song, Hamid Reza Pourghasemi, Jiacheng Ma   +5 more
doaj   +1 more source

Landslide susceptibility mapping using machine learning for Wenchuan County, Sichuan province, China [PDF]

E3S Web of Conferences, 2020
Landslide susceptibility mapping is a method used to assess the probability and spatial distribution of landslide occurrences. Machine learning methods have been widely used in landslide susceptibility in recent years.
Yang Xin, Liu Rui, Li Luyao, Yang Mei, Yang Yuantao   +4 more
doaj   +1 more source

A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology [PDF]

Acta Scientiarum Polonorum. Formatio Circumiectus, 2023
One of the most significant environmental risks is landslides. It might happen due to human action or natural occurrence and have significant social, economic, and environmental repercussions. The danger of landslides occurring in a certain area based on
Sheetal Bisht, Kishan Singh Rawat
doaj   +1 more source