[HTML][HTML] A review on spatial, temporal and magnitude prediction of landslide hazard

A Tyagi, RK Tiwari, N James - Journal of Asian Earth Sciences: X, 2022 - Elsevier
Over the last few decades, several landslide susceptibility and hazard mapping (LSHM)
techniques have been developed. Maps for the same region have also been generated by …

[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

SA Ali, F Parvin, J Vojteková, R Costache, NTT Linh… - Geoscience …, 2021 - Elsevier
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

W Chen, Y Li - Catena, 2020 - Elsevier
Landslides have caused huge economic and human losses in China. Mapping of landslide
susceptibility is an important tool to prevent and control landslide disasters. The purpose of …

[HTML][HTML] Application of artificial intelligence and remote sensing for landslide detection and prediction: systematic review

S Akosah, I Gratchev, DH Kim, SY Ohn - Remote Sensing, 2024 - mdpi.com
This paper systematically reviews remote sensing technology and learning algorithms in
exploring landslides. The work is categorized into four key components:(1) literature search …

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

O Rahmati, H Zeinivand, M Besharat - Geomatics, Natural Hazards …, 2016 - Taylor & Francis
Flood is considered to be the most common natural disaster worldwide during the last
decades. Flood hazard potential mapping is required for management and mitigation of …

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

B Pradhan - Computers & Geosciences, 2013 - Elsevier
The purpose of the present study is to compare the prediction performances of three different
approaches such as decision tree (DT), support vector machine (SVM) and adaptive neuro …

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

HR Pourghasemi, B Pradhan, C Gokceoglu - Natural hazards, 2012 - Springer
The main goal of this study is to produce landslide susceptibility maps of a landslide-prone
area (Haraz) in Iran by using both fuzzy logic and analytical hierarchy process (AHP) …

Modeling groundwater potential zone in a semi-arid region of Aseer using fuzzy-AHP and geoinformation techniques

J Mallick, RA Khan, M Ahmed, SD Alqadhi, M Alsubih… - Water, 2019 - mdpi.com
Saudi Arabia's arid and semi-arid regions suffer from water scarcity because of climatic
constraints and rapid growth of domestic and industrial water uses. The growing demand for …

GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco)

A El Jazouli, A Barakat, R Khellouk - Geoenvironmental Disasters, 2019 - Springer
Abstract Background High basin of Oum Er Rbia River, which is located in Middle Atlas
Mountain region, is prone to landslide problems due to the geological features combined …

Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal

P Kayastha, MR Dhital, F De Smedt - Computers & Geosciences, 2013 - Elsevier
Landslide problems are abundant in the mountainous areas of Nepal due to a unique
combination of adverse geological conditions, abundant rainfall and anthropogenic factors …