Geographically weighted neural network considering spatial heterogeneity for landslide susceptibility mapping: A case study of Yichang City, China
Z Zhao, Z Xu, C Hu, K Wang, X Ding - Catena, 2024 - Elsevier
Landslides are among the most devastating natural disasters worldwide. Landslide
susceptibility mapping (LSM) is a scientific approach for assessing landslides-prone areas …
susceptibility mapping (LSM) is a scientific approach for assessing landslides-prone areas …
Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo)
Cryospheric hazards-in this case, thaw slumps (TS) and thermo-erosion gullies (TEG)-are
phenomena typical of permafrost-dominated landscapes. Open datasets informing about …
phenomena typical of permafrost-dominated landscapes. Open datasets informing about …
Evaluating landslide susceptibility: the impact of resolution and hybrid integration approaches
X Zhao, W Chen, P Tsangaratos, I Ilia - … , Natural Hazards and Risk, 2024 - Taylor & Francis
The present study investigates the effectiveness of various landslide susceptibility machine
learning (ML) models at multiple spatial resolutions. Using various conditioning factors …
learning (ML) models at multiple spatial resolutions. Using various conditioning factors …
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
A novel QLattice‐based whitening machine learning model of landslide susceptibility mapping
D Sun, Y Ding, H Wen, F Zhang - Earth Surface Processes and …, 2024 - Wiley Online Library
Landslide susceptibility mapping (LSM) enables the prediction of landslide occurrences,
thereby offering a scientific foundation for disaster prevention and control. In recent years …
thereby offering a scientific foundation for disaster prevention and control. In recent years …
A multidisciplinary approach to investigate active and new tectonic effects on landslides spatial distributions: case study in the Pre-Rif Ridges morphostructural unit
Abstract The Pre-Rif Ridges constitute the southward deformation front of the entire Rif
chain, Northern Morocco. Previous investigations showed that evidence in favor of active …
chain, Northern Morocco. Previous investigations showed that evidence in favor of active …
Assessing the impact of RCP4. 5 and RCP8. 5 scenarios on landslide susceptibility mapping using support vector machine: A case study of Penang Island, Malaysia
This paper investigates the climate change influence on landslide susceptibility mapping
(LSM) using a case study conducted on Penang Island in Malaysia, a region prone to …
(LSM) using a case study conducted on Penang Island in Malaysia, a region prone to …
Landslide susceptibility assessment in western external rif chain using machine learning methods
M Benmakhlouf, Y El Kharim, J Galindo Zaldívar… - 2023 - digibug.ugr.es
Landslides are a major natural hazard in the mountainous Rif region of Northern Morocco.
This study aims to create and compare landslide susceptibility maps in the Western External …
This study aims to create and compare landslide susceptibility maps in the Western External …
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Landslide susceptibility mapping (LSM) warrants considerable attention as a prerequisite for
risk assessment and prevention in response to the increasing global occurrences of …
risk assessment and prevention in response to the increasing global occurrences of …
Assessing the Reliability of Landslides Susceptibility Models with Limited Data: Impact of Geomorphological Diversity and Technique Selection on Model Performance …
Previous research showed that the accuracy of landslide susceptibility maps (LSM) mainly
depends on the landslide inventory used to train the algorithms. However, the preparation of …
depends on the landslide inventory used to train the algorithms. However, the preparation of …