Landslide Susceptibility Assessment Using an AutoML Framework. [PDF]
Int J Environ Res 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.
Bruzón AG +10 more
europepmc +5 more sources
A python system for regional landslide susceptibility assessment by integrating machine learning models and its application [PDF]
Heliyon, 2023 Landslide susceptibility assessment is considered the first step in landslide risk assessment, but current studies mostly rely on GIS platforms or other software for data preprocessing.
Zizheng Guo +6 more
doaj +2 more sources
Seismic landslide susceptibility assessment using principal component analysis and support vector machine [PDF]
Scientific ReportsSeismic landslides are dangerous natural hazards that can cause immense damage to human lives and property. Susceptibility assessment of earthquake-triggered landslides provides the scientific basis and theoretical foundation for disaster emergency ...
Ziyao Xu, Ailan Che, Hanxu Zhou
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TEMPORAL LANDSLIDE SUSCEPTIBILITY ASSESSMENT USING LANDSLIDE DENSITY TECHNIQUE [PDF]
Geological Behavior, 2017 In this study, a temporal landslide assessment was carried out in a landslide prone areaalong the RanauTambunan road in Sabah, Malaysia. The assessment was based on landslides interpreted from 1978 and 1994 aerial photographs and also from fieldworks ...
NNorbert Simon, +2 more
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ISPRS International Journal of Geo-Information, 2023 Though danger prediction and countermeasures for landslides are important, it is fundamentally difficult to take preventive measures in all areas susceptible to dangerous landslides. Therefore, it is necessary to perform landslide susceptibility mapping,
Masanori Kohno, Yuki Higuchi
doaj +3 more sources
Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model [PDF]
Scientific ReportsLandslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework based on a Convolutional Neural Network and Long Short-
Fei Teng +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
openaire +3 more sources
Assessing Landslide Damming susceptibility in Central Asia
Natural Hazards and Earth System Sciences, 2023 Abstract. Central Asia regions are characterized by active tectonics, high mountain chains with extreme topography with glaciers and strong seasonal rainfall events. These key predisposing factors make large landslides a serious natural threat in the area, causing several casualties every year.
C. Tacconi Stefanelli +10 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
Shallow landslides susceptibility assessment in different environments [PDF]
Geomatics, Natural Hazards and Risk, 2016 The spatial distribution of shallow landslides is strongly influenced by different climatic conditions and environmental settings. This makes difficult the implementation of an exhaustive monitoring technique for correctly assessing the landslide susceptibility in different environmental contexts.
Persichillo, Maria Giuseppina +10 more
openaire +6 more sources