Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable …
Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …
infrastructure and human lives. In line with the United Nations' Sustainable Development …
A review of scale dependency in landslide hazard and risk analysis
T Glade, MJ Crozier - Landslide hazard and risk, 2005 - Wiley Online Library
The wide range of both spatial and temporal scales distinguishes landslide processes
significantly from other natural processes such as floods, earthquake shaking or tsunamis …
significantly from other natural processes such as floods, earthquake shaking or tsunamis …
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
The major target of this study is to design two novel hybrid integration artificial intelligent
models, which are denoted as LADT-Bagging and FPA-Bagging, for modeling landslide …
models, which are denoted as LADT-Bagging and FPA-Bagging, for modeling landslide …
Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
Landslide susceptibility, hazards, and risks have been extensively explored and analyzed in
the past decades. However, choosing relevant conditioning factors in such analyses …
the past decades. However, choosing relevant conditioning factors in such analyses …
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
Globally, and in China, landslides constitute one of the most important and frequently
encountered natural hazard events. In the present study, landslide susceptibility evaluation …
encountered natural hazard events. In the present study, landslide susceptibility evaluation …
Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic …
M Zare, HR Pourghasemi, M Vafakhah… - Arabian Journal of …, 2013 - Springer
Landslide susceptibility and hazard assessments are the most important steps in landslide
risk mapping. The main objective of this study was to investigate and compare the results of …
risk mapping. The main objective of this study was to investigate and compare the results of …
Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
Landslide-related factors were extracted from Advanced Spaceborne Thermal Emission and
Reflection Radiometer (ASTER) images, and integrated techniques were developed …
Reflection Radiometer (ASTER) images, and integrated techniques were developed …
The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China
K Zhang, X Wu, R Niu, K Yang, L Zhao - Environmental Earth Sciences, 2017 - Springer
Landslide susceptibility mapping is an indispensable prerequisite for landslide prevention
and reduction. At present, research into landslide susceptibility mapping has begun to …
and reduction. At present, research into landslide susceptibility mapping has begun to …
[图书][B] Landslide risk assessment
EM Lee, DKC Jones - 2023 - icevirtuallibrary.com
See also specific Asian countries asphyxiation, 287–288 Assam (India) earthquake, 39
assets fixed, 81, 82, 254, 255f, 264 Hong Kong example, 118 market value, 337–339, 338t …
assets fixed, 81, 82, 254, 255f, 264 Hong Kong example, 118 market value, 337–339, 338t …
Comparison of random forest model and frequency ratio model for landslide susceptibility mapping (LSM) in Yunyang County (Chongqing, China)
Y Wang, D Sun, H Wen, H Zhang, F Zhang - International journal of …, 2020 - mdpi.com
To compare the random forest (RF) model and the frequency ratio (FR) model for landslide
susceptibility mapping (LSM), this research selected Yunyang Country as the study area for …
susceptibility mapping (LSM), this research selected Yunyang Country as the study area for …