Current and future status of GIS-based landslide susceptibility map**: a literature review
Landslides are one of the most damaging geological hazards worldwide, threating both
humans and property. Hence, there have been many efforts to prevent landslides and …
humans and property. Hence, there have been many efforts to prevent landslides and …
Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and map** units by hybrid factors screening and …
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 …
[HTML][HTML] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
Landslides are abundant in mountainous regions. They are responsible for substantial
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …
Decision tree based ensemble machine learning approaches for landslide susceptibility map**
The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
GIS-based gully erosion susceptibility map**: a comparison among three data-driven models and AHP knowledge-based technique
Abstract Toroud Watershed in Semnan Province, Iran is a prone area to gully erosion that
causes to soil loss and land degradation. To consider the gully erosion, a comprehensive …
causes to soil loss and land degradation. To consider the gully erosion, a comprehensive …
Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility map** of Muzaffarabad district
Landslides are natural disasters deliberated as the most destructive among the others
considered. Using the Muzaffarabad as a case study, this work compares the performance of …
considered. Using the Muzaffarabad as a case study, this work compares the performance of …
Assessment of landslide susceptibility using statistical-and artificial intelligence-based FR–RF integrated model and multiresolution DEMs
Landslide is one of the most important geomorphological hazards that cause significant
ecological and economic losses and results in billions of dollars in financial losses and …
ecological and economic losses and results in billions of dollars in financial losses and …
GIS-based logistic regression for rainfall-induced landslide susceptibility map** under different grid sizes in Yueqing, Southeastern China
The logistic regression (LR) method was applied to assess landslide susceptibility in the
northern Yueqing of Zhejiang Province, China. An inventory map of 323 landslides, digital …
northern Yueqing of Zhejiang Province, China. An inventory map of 323 landslides, digital …
Ecosystem health assessment: A PSR analysis combining AHP and FCE methods for Jiaozhou Bay, China1
Wetlands are impacted by economic and political initiatives, and research on their
ecosystem health is attracting increasing public attention. It is crucial that management …
ecosystem health is attracting increasing public attention. It is crucial that management …
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 …