Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes
QB Pham, S Chandra Pal, R Chakrabortty… - Geocarto …, 2022 - Taylor & Francis
Landslides are most catastrophic and frequently occurred across the world. In mountainous
areas of the globe, recurrent occurrences of landslide have caused huge amount of …
areas of the globe, recurrent occurrences of landslide have caused huge amount of …
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change …
The objective of this research is to examine the possible impacts of climate change on
landslide susceptibility in Iran. To accomplish this, 15 independent variables including 11 …
landslide susceptibility in Iran. To accomplish this, 15 independent variables including 11 …
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 …
susceptibility modeling is a worth considering issue. So, the current research intend to …
Application of a novel hybrid machine learning algorithm in shallow landslide susceptibility mapping in a mountainous area
Landslides can be a major challenge in mountainous areas that are influenced by climate
and landscape changes. In this study, we propose a hybrid machine learning model based …
and landscape changes. In this study, we propose a hybrid machine learning model based …
Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models
Landslides are a common natural disaster that can cause casualties, property safety threats
and economic losses. Therefore, it is important to understand or predict the probability of …
and economic losses. Therefore, it is important to understand or predict the probability of …
Novel credal decision tree-based ensemble approaches for predicting the landslide susceptibility
Landslides are natural and often quasi-normal threats that destroy natural resources and
may lead to a persistent loss of human life. Therefore, the preparation of landslide …
may lead to a persistent loss of human life. Therefore, the preparation of landslide …
Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran
This analysis aims to generate landslide susceptibility maps (LSMs) using various machine
learning methods, namely random forest (RF), alternative decision tree (ADTree) and …
learning methods, namely random forest (RF), alternative decision tree (ADTree) and …
Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility
Z Gao, M Ding - Natural Hazards, 2022 - Springer
Landslides in mountain settlements are among the most widespread and dangerous
geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan …
geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan …
[PDF][PDF] Shallow landslide susceptibility mapping: A comparison between classification and regression tree and reduced error pruning tree algorithms
Shallow landslides through land degrading not only lead to threat the properly and life of
human but they also may produce huge ecosystem damages. The aim of this study was to …
human but they also may produce huge ecosystem damages. The aim of this study was to …
Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models
This work aims to discuss and compare the inherent essence of different machine learning
algorithms for landslide susceptibility models (LSMs), which is of great significance for …
algorithms for landslide susceptibility models (LSMs), which is of great significance for …