Results 11 to 20 of about 3,126 (205)

Landslide Susceptibility Mapping in Brazil: A Review [PDF]

open access: yesGeosciences, 2021
Landslide susceptibility studies are a common type of landslide assessment. Landslides are one of the most frequent hazards in Brazil, resulting in significant economic and social losses (e.g., deaths, injuries, and property destruction). This paper presents a literature review of susceptibility mapping studies in Brazil and analyzes the methods and ...
Helen Cristina Dias   +2 more
openaire   +3 more sources

Deep learning-based landslide susceptibility mapping [PDF]

open access: yesScientific Reports, 2021
AbstractLandslides are considered as one of the most devastating natural hazards in Iran, causing extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas can be used to plan for and mitigate the consequences of catastrophic landsliding events.
Mohammad Azarafza   +4 more
openaire   +4 more sources

Implementing landslide path dependency in landslide susceptibility modelling [PDF]

open access: yesLandslides, 2018
Landslide susceptibility modelling--a crucial step towards the assessment of landslide hazard and risk--has hitherto not included the local, transient effects of previous landslides on susceptibility. In this contribution, we implement such transient effects, which we term Blandslide path dependency^, for the first time.
Jalal Samia (1   +9 more
openaire   +3 more sources

ON THE EFFECT OF DEM QUALITY FOR LANDSLIDE SUSCEPTIBILITY MAPPING

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Abstract. Generating precise and up-to-date landslide susceptibility maps (LSMs) in landslide-prone areas is important to identify hazard potential in the future. The data quality and the method selection affect the accuracy of the LSMs. In this context, the accuracy and precision of the digital elevation models (DEMs) used as input are among the most ...
G. Karakas   +4 more
openaire   +6 more sources

A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology [PDF]

open access: yesActa Scientiarum Polonorum. Formatio Circumiectus, 2023
One of the most significant environmental risks is landslides. It might happen due to human action or natural occurrence and have significant social, economic, and environmental repercussions. The danger of landslides occurring in a certain area based on
Sheetal Bisht, Kishan Singh Rawat
doaj   +1 more source

Landslide susceptibility mapping using machine learning for Wenchuan County, Sichuan province, China [PDF]

open access: yesE3S Web of Conferences, 2020
Landslide susceptibility mapping is a method used to assess the probability and spatial distribution of landslide occurrences. Machine learning methods have been widely used in landslide susceptibility in recent years.
Yang Xin   +4 more
doaj   +1 more source

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2019
This work evaluates the influence of land use and land cover (LUC) data with different properties on the landslide susceptibility zonation of the road network in the Zêzere watershed (Portugal).
B. M. Meneses, S. Pereira, E. Reis
doaj   +1 more source

Estimation of Landslide and Mudslide Susceptibility with Multi-Modal Remote Sensing Data and Semantics: The Case of Yunnan Mountain Area

open access: yesLand, 2023
Landslide and mudslide susceptibility predictions play a crucial role in environmental monitoring, ecological protection, settlement planning, etc. Currently, multi-modal remote sensing data have been used for precise landslide and mudslide disaster ...
Fan Yang   +8 more
doaj   +1 more source

Landslide susceptibility prediction and identification of its main environmental factors based on machine learning models

open access: yes地质科技通报, 2022
The modelling processes and uncertainties of various machine learning models for landslide susceptibility prediction (LSP) are different, and effectively identifying the main conditioning factors of landslide susceptibility is of great significance ...
Faming Huang   +7 more
doaj   +1 more source

A review on landslide susceptibility mapping research in Bangladesh. [PDF]

open access: yesHeliyon, 2023
Landslide susceptibility mapping is a common practice for landslide susceptibility assessment across the world. Like many other mountainous areas of the world, Bangladesh is facing frequent catastrophic landslides causing severe damage to the economy and society. As a result, several types of research have been conducted on landslides in Bangladesh. In
Chowdhury MS.
europepmc   +4 more sources

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