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 …
Landslide detection using multi-scale image segmentation and different machine learning models in the higher himalayas
Landslides represent a severe hazard in many areas of the world. Accurate landslide maps
are needed to document the occurrence and extent of landslides and to investigate their …
are needed to document the occurrence and extent of landslides and to investigate their …
Improving spatial agreement in machine learning-based landslide susceptibility mapping
Despite yielding considerable degrees of accuracy in landslide predictions, the outcomes of
different landslide susceptibility models are prone to spatial disagreement; and therefore …
different landslide susceptibility models are prone to spatial disagreement; and therefore …
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model
As one of the most destructive geological disasters, a myriad of landslides has revived and
developed in the Three Gorges Reservoir area under the combined action of various …
developed in the Three Gorges Reservoir area under the combined action of various …
Landslide detection mapping employing CNN, ResNet, and DenseNet in the three gorges reservoir, China
Landslide detection mapping (LDM) is the basis of the field of landslide disaster prevention;
however, it has faced certain difficulties. The Three Gorges Reservoir area of the Yangtze …
however, it has faced certain difficulties. The Three Gorges Reservoir area of the Yangtze …
[HTML][HTML] Landslide susceptibility zonation using geospatial technique and analytical hierarchy process in Sikkim Himalaya
This study aims to delineate landslide susceptibility maps using an integrated approach of
remote sensing, geographical information system (GIS), and Analytical Hierarchy Process …
remote sensing, geographical information system (GIS), and Analytical Hierarchy Process …
Landslide susceptibility mapping of landslides with artificial neural networks: Multi-approach analysis of backpropagation algorithm applying the neuralnet package in …
Natural hazards generate disasters and huge losses in several aspects, with landslides
being one of the natural risks that have caused great impacts worldwide. The aim of this …
being one of the natural risks that have caused great impacts worldwide. The aim of this …
Investigation of the influence of nonoccurrence sampling on landslide susceptibility assessment using Artificial Neural Networks
Landslide susceptibility assessment using Artificial Neural Networks (ANNs) requires
occurrence (landslide) and nonoccurrence (not prone to landslide) samples for ANN …
occurrence (landslide) and nonoccurrence (not prone to landslide) samples for ANN …
Landslide susceptibility zonation of Idukki district using GIS in the aftermath of 2018 Kerala floods and landslides: a comparison of AHP and frequency ratio methods
AV Thomas, S Saha, JH Danumah… - … of Geovisualization and …, 2021 - Springer
This study aims to demarcate landslide susceptible zones using methods of analytical
hierarchy process (AHP) and frequency ratio (FR) to find the most influencing factors and to …
hierarchy process (AHP) and frequency ratio (FR) to find the most influencing factors and to …
Application of geospatial technologies in developing a dynamic landslide early warning system in a humanitarian context: the Rohingya refugee crisis in Cox's Bazar …
Abstract Since August 2017, more than 744,400 stateless Rohingya refugees–an ethnic
Muslim minority group from the Rakhine State–have entered Bangladesh to escape serious …
Muslim minority group from the Rakhine State–have entered Bangladesh to escape serious …