Review on remote sensing methods for landslide detection using machine and deep learning
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 …
slope movement. In the past decades, due to inflation of urbanized area and climate change …
Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping
EK Sahin - Geocarto International, 2022 - Taylor & Francis
The aim of the study is to compare four recent gradient boosting algorithms named as
Gradient Boosting Machine (GBM), Categorical Boosting (CatBoost), Extreme Gradient …
Gradient Boosting Machine (GBM), Categorical Boosting (CatBoost), Extreme Gradient …
Landslide susceptibility assessment of a part of the Western Ghats (India) employing the AHP and F-AHP models and comparison with existing susceptibility maps
Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in
the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives …
the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives …
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
MS Chowdhury, MN Rahman, MS Sheikh, MA Sayeid… - Heliyon, 2024 - cell.com
The frequency of landslides and related economic and environmental damage has
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling
W Chen, S Zhang - Catena, 2021 - Elsevier
Landslides, one of the most common hazards around the world, have brought about severe
damage to life and property of human. To prevent and mitigate landslides, various models …
damage to life and property of human. To prevent and mitigate landslides, various models …
Study of the automatic recognition of landslides by using InSAR images and the improved mask R-CNN model in the Eastern Tibet Plateau
Y Liu, X Yao, Z Gu, Z Zhou, X Liu, X Chen, S Wei - Remote Sensing, 2022 - mdpi.com
The development of landslide hazards is spatially scattered, temporally random, and poorly
characterized. Given the advantages of the large spatial scale and high sensitivity of InSAR …
characterized. Given the advantages of the large spatial scale and high sensitivity of InSAR …
Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models
W Chen, Z Yang - Bulletin of Engineering Geology and the Environment, 2023 - Springer
The main aim of this study is to use weights of evidence (WoE), logistic regression (LR),
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …
naïve Bayes (NB), and alternating decision tree (ADTree) models to draw a landslide …
Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping
AM Youssef, BA El‑Haddad, HD Skilodimou… - Natural Hazards, 2024 - Springer
Each year, thousands of tourists visit Egypt's Wadi Feiran region, which is one of the most
popular tourist sites in the Sinai Peninsula. The region's topography is distinctive and …
popular tourist sites in the Sinai Peninsula. The region's topography is distinctive and …
Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM …
EK Sahin - Stochastic Environmental Research and Risk …, 2023 - Springer
Various machine learning (ML) techniques have been recommended and used in the
literature to produce landslide susceptibility map (LSM). On the other hand, feature …
literature to produce landslide susceptibility map (LSM). On the other hand, feature …
Developing comprehensive geocomputation tools for landslide susceptibility mapping: LSM tool pack
The primary aim of this research paper is to develop an easy-to-use tool package called
Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide …
Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide …