Landslide Susceptibility Assessment Using an AutoML Framework [PDF]
International Journal of Environmental Research and Public Health, 2021 The risks associated with landslides are increasing the personal losses and material damages in more and more areas of the world. These natural disasters are related to geological and extreme meteorological phenomena (e.g., earthquakes, hurricanes) occurring in regions that have already suffered similar previous natural catastrophes.
Adrián G. Bruzón +10 more
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Landslide mapping for susceptibility and hazard assessment: North York Moors, UK [PDF]
, 2016 The British Geological Survey (BGS) has developed a multi-stage methodology for landslide mapping by augmenting traditional mapping techniques with new geospatial technologies.
Boon, D. +9 more
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Landslide susceptibility mapping
, 2021 Due to privacy, the data used is not public. The code of this manuscript is available.
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Geomatics, Natural Hazards & Risk, 2023 Landslide susceptibility mapping is crucial in mitigating the risk of regional landslide hazards. The main objectives of this study are to design and analyze the impact of three non-landslide data generation methods on landslide susceptibility mapping ...
Hongqiang Dou +4 more
doaj +1 more source
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium [PDF]
, 2009 For a 277 km<sup>2</sup> study area in the Flemish Ardennes, Belgium, a landslide inventory and two landslide susceptibility zonations were combined to obtain an optimal landslide susceptibility assessment, in five classes. For the experiment,
F. Guzzetti +4 more
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Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab Basin) [PDF]
, 2012 Landslides are among the great destructive factors which cause lots of fatalities and financial losses all over the world every year. Studying of the factors affecting occurrence of landslides in a region and zoning the resulting damages will certainly ...
Ahmad, Baharin, Khezri, S., Shahabi, H.
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ISPRS 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
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Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines [PDF]
, 2015 Preparation of landslide susceptibility map is the first step for landslide hazard mitigation and risk assessment. The main aim of this study is to explore potential applications of two new models such as two-class Kernel Logistic Regression (KLR) and ...
Chong, Xu +3 more
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Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: A new modular toolkit for landslide susceptibility assessment [PDF]
Geoscientific Model Development, 2021 Abstract. This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analyses (LSA), it is not limited to this issue and applies to any other research dealing with supervised spatial binary ...
Jewgenij Torizin +2 more
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SBAS-InSAR-Based Landslide Susceptibility Mapping Along the North Lancang River, Tibetan Plateau
Frontiers in Earth Science, 2022 Landslides pose huge challenges to the economic activities in mountainous areas at present, while large numbers of landslide disasters have developed in the Hengduan Mountains area in the eastern part of the Tibetan Plateau.
Jiajia Zhang +6 more
doaj +1 more source