[HTML][HTML] Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
In recent decades, data-driven landslide susceptibility models (DdLSM), which are based on
statistical or machine learning approaches, have become popular to estimate the relative …
statistical or machine learning approaches, have become popular to estimate the relative …
[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
[HTML][HTML] Deep learning-based landslide susceptibility mapping
Landslides are considered as one of the most devastating natural hazards in Iran, causing
extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas …
extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas …
[HTML][HTML] Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization
X Zhou, H Wen, Y Zhang, J Xu, W Zhang - Geoscience Frontiers, 2021 - Elsevier
The present study aims to develop two hybrid models to optimize the factors and enhance
the predictive ability of the landslide susceptibility models. For this, a landslide inventory …
the predictive ability of the landslide susceptibility models. For this, a landslide inventory …
[HTML][HTML] 基于机器学习的滑坡易发性预测建模及其主控因子识别
黄发明， 胡松雁， 闫学涯， 李明， 王俊宇， 李文彬… - 地质科技 …, 2022 - dzkjqb.cug.edu.cn
不同机器学习预测滑坡易发性的建模过程及其不确定性有所差异, 另外如何有效识别滑坡易发性
的主控因子意义重大. 针对上述问题, 以支持向量机(support vector machine, 简称SVM) …
的主控因子意义重大. 针对上述问题, 以支持向量机(support vector machine, 简称SVM) …
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous …
Heavy rainfall in mountainous terrain can trigger numerous landslides in hill slopes. These
landslides can be deadly to the community living downslope with their fast pace, turning …
landslides can be deadly to the community living downslope with their fast pace, turning …
[HTML][HTML] Landslide susceptibility zonation method based on C5. 0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
Abstract Machine learning algorithms are an important measure with which to perform
landslide susceptibility assessments, but most studies use GIS-based classification methods …
landslide susceptibility assessments, but most studies use GIS-based classification methods …
[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …
overwhelming natural as well as man-made disaster that causes loss of natural resources …
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
W Chen, S Zhang, R Li, H Shahabi - Science of the total environment, 2018 - Elsevier
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and …
D Sun, Q Gu, H Wen, J Xu, Y Zhang, S Shi, M Xue… - Gondwana …, 2023 - Elsevier
To develop a better spatial prediction model of landslide susceptibility along mountain
highways, this study compared assessment models of landslide susceptibility along …
highways, this study compared assessment models of landslide susceptibility along …