Results 31 to 40 of about 3,126 (205)

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

open access: yesEnvironmental Earth Sciences, 2023
Abstract The quality of landslide susceptibility assessment is effected by landslide inventory and raster resolution. The point landslide inventory and polygon landslide inventory are usually two spatial representations. In order to explore the effect of spatial representation and raster resolution on the assessment result of landslide ...
Shuo Yang   +3 more
openaire   +1 more source

Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China [PDF]

open access: yesInternational Journal of Environmental Research and Public Health, 2021
Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (
Xiaoting Zhou   +24 more
openaire   +2 more sources

GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method

open access: yesISPRS International Journal of Geo-Information, 2014
The main aim of this paper is landslide susceptibility assessment using fuzzy expert-based modeling. Factors that influence landslide occurrence, such as elevation, slope, aspect, lithology, land cover, precipitation and seismicity were considered ...
Christos Chalkias   +2 more
doaj   +1 more source

Landslide susceptibility mapping

open access: yes, 2021
Due to privacy, the data used is not public. The code of this manuscript is available.
openaire   +1 more source

Landslide Susceptibility Analysis in Samanlı Mountains Massif by Frequency Ratio and Artificial Neural Networks Methods

open access: yesDoğal Afetler ve Çevre Dergisi
Susceptibility analyses of landslides, which cause loss of life and property, have a high frequency of occurrence and are affected by many factors, play an important role in the prediction of possible landslides with the help of Geographic Information ...
Murat Uzun
doaj   +1 more source

Comparison of Analytic Hierarchy Process and Frequency Ratio Methods in Landslide Susceptibility Analysis: Example of Akçaabat and Düzköy districts of Trabzon province

open access: yesDoğal Afetler ve Çevre Dergisi, 2023
Landslides are one of the leading natural disasters in the Black Sea Region of Türkiye. Trabzon is the province where the most landslides occurred in the country.
Melek Dalkes, Mehmet Seren Korkmaz
doaj   +1 more source

Landslide Susceptibility Mapping in the Vrancea-Buzău Seismic Region, Southeast Romania

open access: yesGeosciences, 2021
This study presents the results of a landslide susceptibility analysis applied to the Vrancea-Buzău seismogenic region in the Carpathian Mountains, Romania. The target area is affected by a large diversity of landslide processes.
Hasnaa Harmouzi   +3 more
doaj   +1 more source

Spatial Modeling in Landslide Susceptibility

open access: yesIndonesian Journal of Electrical Engineering and Computer Science, 2017
<p class="Style2">Landslide Susceptibility Mapping is one of the mitigation effort to detect vulnerable areas for minimizing the risk of landslide disasters. This paper describes spatial model development for assessing landslide susceptibility by considering human and biophysical factors.
Dwi Shanty Apriliani Gunadi   +2 more
openaire   +1 more source

Mapping landslide susceptibility at national scale by spatial multi-criteria evaluation

open access: yesGeomatics, Natural Hazards & Risk, 2021
The representation of terrain propensity to generate landslides, meaning the mapping of landslide susceptibility, represents a first step in the assessment of the risk induced by these geomorphological hazards.
Adrian Grozavu   +1 more
doaj   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh   +12 more
wiley   +1 more source

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