A critical review on landslide susceptibility zonation: recent trends, techniques, and practices in Indian Himalaya
Abstract The Indian Himalayan region is highly susceptible to landslides because of its
complex geology, rugged topography, steep slopes augmented by seismo-tectonic activities …
complex geology, rugged topography, steep slopes augmented by seismo-tectonic activities …
[HTML][HTML] Landslide hazard assessment using analytic hierarchy process (AHP): A case study of National Highway 5 in India
S Panchal, AK Shrivastava - Ain Shams Engineering Journal, 2022 - Elsevier
Slope failure along highways is a crucial problem in hilly regions. Landslide hazard maps
are very efficient and effective tools for planning and management of landslide disasters …
are very efficient and effective tools for planning and management of landslide disasters …
[HTML][HTML] A review on spatial, temporal and magnitude prediction of landslide hazard
Over the last few decades, several landslide susceptibility and hazard mapping (LSHM)
techniques have been developed. Maps for the same region have also been generated by …
techniques have been developed. Maps for the same region have also been generated by …
[HTML][HTML] Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya
Landslides are one the most destructive and life-endangering hazard in the Darjeeling
Himalayan region and keeping in mind the interest of society and their future prospects …
Himalayan region and keeping in mind the interest of society and their future prospects …
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques
Concerning the significant increase in the negative effects of flash-floods worldwide, the
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
Taibai County is a mountainous area in China, where rainfall-induced landslides occur
frequently. The purpose of this study is to assess landslide susceptibility using the integrated …
frequently. The purpose of this study is to assess landslide susceptibility using the integrated …
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 …
Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Floods have received global significance in contemporary times due to their destructive
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …
Landslide susceptibility modeling using integrated ensemble weights of evidence with logistic regression and random forest models
W Chen, Z Sun, J Han - Applied sciences, 2019 - mdpi.com
The main aim of this study was to compare the performances of the hybrid approaches of
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …