Review on remote sensing methods for landslide detection using machine and deep learning

A Mohan, AK Singh, B Kumar… - Transactions on …, 2021 - Wiley Online Library
Landslide, one of the most critical natural hazards, is caused due to specific compositional
slope movement. In the past decades, due to inflation of urbanized area and climate change …

[HTML][HTML] Remote sensing of landslides—A review

C Zhao, Z Lu - Remote Sensing, 2018 - mdpi.com
Triggered by earthquakes, rainfall, or anthropogenic activities, landslides represent
widespread and problematic geohazards worldwide. In recent years, multiple remote …

[HTML][HTML] Debris flow susceptibility map** using machine-learning techniques in Shigatse area, China

Y Zhang, T Ge, W Tian, YA Liou - Remote Sensing, 2019 - mdpi.com
Debris flows have been always a serious problem in the mountain areas. Research on the
assessment of debris flows susceptibility (DFS) is useful for preventing and mitigating debris …

Comparative analysis of statistical methods for landslide susceptibility map** in the Bostanlik District, Uzbekistan

M Juliev, M Mergili, I Mondal, B Nurtaev… - Science of the total …, 2019 - Elsevier
Abstract The Bostanlik district, Uzbekistan, is characterized by mountainous terrain
susceptible to landslides. The present study aims at creating a statistically derived landslide …

[HTML][HTML] Rainfall induced landslide susceptibility map** based on Bayesian optimized random forest and gradient boosting decision tree models—A case study of …

G Rong, S Alu, K Li, Y Su, J Zhang, Y Zhang, T Li - Water, 2020 - mdpi.com
Among the most frequent and dangerous natural hazards, landslides often result in huge
casualties and economic losses. Landslide susceptibility map** (LSM) is an excellent …

Shallow landslide prediction using a novel hybrid functional machine learning algorithm

D Tien Bui, H Shahabi, E Omidvar, A Shirzadi… - Remote Sensing, 2019 - mdpi.com
We used a novel hybrid functional machine learning algorithm to predict the spatial
distribution of landslides in the Sarkhoon watershed, Iran. We developed a new ensemble …

How robust are landslide susceptibility estimates?

U Ozturk, M Pittore, R Behling, S Roessner, L Andreani… - Landslides, 2021 - Springer
Much of contemporary landslide research is concerned with predicting and map**
susceptibility to slope failure. Many studies rely on generalised linear models with …

[HTML][HTML] Automated landslide-risk prediction using web gis and machine learning models

G Rong, K Li, L Han, S Alu, J Zhang, Y Zhang - Water, 2020 - mdpi.com
Landslides are among the most frequent natural hazards in the world. Rainfall is an
important triggering factor for landslides and is responsible for topples, slides, and debris …