Review on landslide susceptibility mapping using support vector machines

Y Huang, L Zhao - Catena, 2018 - Elsevier
Landslides are natural phenomena that can cause great loss of life and damage to property.
A landslide susceptibility map is a useful tool to help with land management in landslide …

Landslide susceptibility evaluation and hazard zonation techniques–a review

L Shano, TK Raghuvanshi, M Meten - Geoenvironmental Disasters, 2020 - Springer
Landslides are the most destructive geological hazard in the hilly regions. For systematic
landslide mitigation and management, landslide evaluation and hazard zonation is required …

[PDF][PDF] GIS 支持下CF 与Logistic 回归模型耦合的九寨沟景区滑坡易发性评价

罗路广, 裴向军, 黄润秋, 裴钻, 朱凌 - 工程地质学报, 2021 - dsjyj.com.cn
摘要2017 年8 月8 日九寨沟MS7. 0 地震诱发了数以千计的崩滑体, 产生的大量松散固体碎屑在
降雨作用下极易启动转化为新的滑坡或泥石流形成次生灾害, 因此对九寨沟景区进行滑坡易发性 …

[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 …

[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning

E Rafiei-Sardooi, A Azareh, B Choubin… - International Journal of …, 2021 - Elsevier
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …

Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

D Sun, J Xu, H Wen, D Wang - Engineering Geology, 2021 - Elsevier
This study aims to develop two optimized models of landslide susceptibility mapping (LSM),
ie, logical regression (LR) and random forest (RF) models, premised on hyperparameter …

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

DT Bui, P Tsangaratos, VT Nguyen, N Van Liem… - Catena, 2020 - Elsevier
The main objective of the current study was to introduce a Deep Learning Neural Network
(DLNN) model in landslide susceptibility assessments and compare its predictive …

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

Y Wu, Y Ke, Z Chen, S Liang, H Zhao, H Hong - Catena, 2020 - Elsevier
Landslides are a common type of natural disaster that brings great threats to the human lives
and economic development around the world, especially in the Chinese Loess Plateau …

Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region

F Sivrikaya, Ö Küçük - Ecological Informatics, 2022 - Elsevier
This study proposed an integrated approach to generating a forest fire risk map. It used
geographic information system–based multiple criteria decision analysis (GIS-MCDA) with …

GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and …

SA Ali, F Parvin, QB Pham, M Vojtek, J Vojteková… - Ecological …, 2020 - Elsevier
Flood is a devastating natural hazard that may cause damage to the environment
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …