Landslide hazard assessment: recent trends and techniques

SD Pardeshi, SE Autade, SS Pardeshi - SpringerPlus, 2013 - Springer
Landslide hazard assessment is an important step towards landslide hazard and risk
management. There are several methods of Landslide Hazard Zonation (LHZ) viz. heuristic …

[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 …

Mapping landslide susceptibility using data-driven methods

JL Zêzere, S Pereira, R Melo, SC Oliveira… - Science of the total …, 2017 - Elsevier
Most epistemic uncertainty within data-driven landslide susceptibility assessment results
from errors in landslide inventories, difficulty in identifying and mapping landslide causes …

Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues

F Catani, D Lagomarsino, S Segoni… - Natural Hazards and …, 2013 - nhess.copernicus.org
Despite the large number of recent advances and developments in landslide susceptibility
mapping (LSM) there is still a lack of studies focusing on specific aspects of LSM model …

Integrating landslide typology with weighted frequency ratio model for landslide susceptibility mapping: A case study from Lanzhou city of northwestern China

H Shu, Z Guo, S Qi, D Song, HR Pourghasemi, J Ma - Remote Sensing, 2021 - mdpi.com
Although numerous models have been employed to address the issue of landslide
susceptibility at regional scale, few have incorporated landslide typology into a model …

A fuzzy comprehensive evaluation method based on AHP and entropy for a landslide susceptibility map

H Zhao, L Yao, G Mei, T Liu, Y Ning - Entropy, 2017 - mdpi.com
Landslides are a common type of natural disaster in mountainous areas. As a result of the
comprehensive influences of geology, geomorphology and climatic conditions, the …

The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models

M Bordoni, Y Galanti, C Bartelletti, MG Persichillo… - Catena, 2020 - Elsevier
Data-driven methodologies are widely used for the reconstruction of shallow landslide
susceptibility maps. The outputs of these models strictly depend on the type of landslide …

Mapping of water-induced soil erosion using machine learning models: a case study of Oum Er Rbia Basin (Morocco)

A Barakat, M Rafai, H Mosaid, MS Islam… - Earth Systems and …, 2023 - Springer
Abstract The basin of Oum Er Rbia River (Morocco) has been greatly affected by water-
related erosion leading to loss of soils, land degradation, and deposits of sediment in dams …

Large-scale landslide susceptibility mapping using an integrated machine learning model: A case study in the Lvliang mountains of China

Y Xing, J Yue, Z Guo, Y Chen, J Hu… - Frontiers in Earth Science, 2021 - frontiersin.org
Integration of different models may improve the performance of landslide susceptibility
assessment, but few studies have tested it. The present study aims at exploring the way to …

Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment

Z Guo, B Tian, G Li, D Huang, T Zeng, J He… - Frontiers in Earth …, 2023 - frontiersin.org
Accurate landslide susceptibility maps are relevant for stakeholders to take effective
measures and perform land use planning. The present research aims at using three data …