[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future

AC Mondini, F Guzzetti, KT Chang, O Monserrat… - Earth-Science …, 2021 - Elsevier
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

[HTML][HTML] Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

PTT Ngo, M Panahi, K Khosravi, O Ghorbanzadeh… - Geoscience …, 2021 - Elsevier
The identification of landslide-prone areas is an essential step in landslide hazard
assessment and mitigation of landslide-related losses. In this study, we applied two novel …

[HTML][HTML] Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …

Prediction of the landslide susceptibility: Which algorithm, which precision?

HR Pourghasemi, O Rahmati - Catena, 2018 - Elsevier
Coupling machine learning algorithms with spatial analytical techniques for landslide
susceptibility modeling is a worth considering issue. So, the current research intend to …

Assessment of landslide-prone areas and their zonation using logistic regression, logitboost, and naïvebayes machine-learning algorithms

HR Pourghasemi, A Gayen, S Park, CW Lee, S Lee - Sustainability, 2018 - mdpi.com
The occurrence of landslide in the hilly region of South Korea is a matter of serious concern.
This study tries to produce landslide susceptibility maps for Jumunjin Country in South …

Distribution and characteristics of shallow landslides triggered by the 2018 Mw 7.5 Palu earthquake, Indonesia

X Shao, S Ma, C Xu - Landslides, 2023 - Springer
Abstract At 10: 02 (UTC) on September 28, 2018, an Mw 7.5 earthquake struck the Palu area
of Sulawesi Island, Indonesia. This earthquake (hereinafter called the Palu earthquake) is a …

A comparative analysis of certainty factor-based machine learning methods for collapse and landslide susceptibility mapping in Wenchuan County, China

X Yuan, C Liu, R Nie, Z Yang, W Li, X Dai, J Cheng… - Remote Sensing, 2022 - mdpi.com
After the “5· 12” Wenchuan earthquake in 2008, collapses and landslides have occurred
continuously, resulting in the accumulation of a large quantity of loose sediment on slopes or …

Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates

M Panahi, O Rahmati, F Rezaie, S Lee, F Mohammadi… - Catena, 2022 - Elsevier
Landslide susceptibility (LS) mapping is an essential tool for landslide risk assessment. This
study aimed to provide a new approach with better performance for landslide mapping and …

Characterizing the spatial distribution, frequency, geomorphological and geological controls on landslides triggered by the 1933 Mw 7.3 Diexi Earthquake, Sichuan …

S Cui, H Wu, X Pei, Q Yang, R Huang, B Guo - Geomorphology, 2022 - Elsevier
Clarifying geomorphological and geological controls on earthquake-induced landslides is
difficult. Because an earthquake can transiently release powerful energy and commonly …

[HTML][HTML] A new digital lithological map of Italy at the scale for geomechanical modelling

F Bucci, M Santangelo, L Fongo… - Earth System …, 2022 - essd.copernicus.org
Lithological maps contain information about the different lithotypes cropping out in an area.
At variance with geological maps, portraying geological formations, lithological maps may …