COMPARING MODEL PERFORMANCE METRICS FOR LANDSLIDE SUSCEPTIBILITY MAPPING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Abstract. Landslides are one of the most diffused hazard events in the world, they can occur in different locations under different triggering factors. As such, they are also one of the most studied hazards, while the mechanism of an event is known to the scholars, more difficulties are found in forecasting the location and time of the following event.
V. Yordanov, V. Yordanov, M. A. Brovelli
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Spatial landslide hazard assessment along the Jelapang Corridor of the North-South Expressway in Malaysia using high resolution airborne LiDAR data [PDF]
, 2015 Mapping landslide-prone regions are crucial in natural hazard management and urban development activities in hilly and tropical regions. This research aimed to delineate a spatial prediction of landslide hazard areas along the Jelapang Corridor of the ...
Jebur, Mustafa Neamah +4 more
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Geoenvironmental Disasters, 2021 Uatzau basin in northwestern Ethiopia is one of the most landslide-prone regions, which characterized by frequent high landslide occurrences causing damages in farmlands, non-cultivated lands, properties, and loss of life.
Azemeraw Wubalem
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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 Mapping Using Machine Learning: A Literature Survey
Remote Sensing, 2022 Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change.
Moziihrii Ado +6 more
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GIS and statistical analysis for landslide susceptibility mapping in the Daunia area, Italy [PDF]
, 2010 This study focuses on landslide susceptibility mapping in the Daunia area (Apulian Apennines, Italy) and achieves this by using a multivariate statistical method and data processing in a Geographical Information System (GIS).
C. Ceppi, F. Mancini, G. Ritrovato
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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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Towards the optimal Pixel size of dem for automatic mapping of landslide areas [PDF]
, 2017 Determining appropriate spatial resolution of digital elevation model (DEM) is a key step for effective landslide analysis based on remote sensing data. Several studies demonstrated that choosing the finest DEM resolution is not always the best solution.
Borkowski, A. +2 more
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Earthquake‐induced landslide scenarios for seismic microzonation. Application to the Accumoli area (Rieti, Italy) [PDF]
, 2019 Scenarios of earthquake-induced landslides are necessary for seismic microzonation (SM) studies since they must be integrated with the mapping of instability areas.
Battaglia, Simona +7 more
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Geomatics, Natural Hazards & Risk, 2019 Landslide susceptibility mapping is essential in delineating landslide prone areas in mountainous regions. The primary purpose of this study is to evaluate landslide susceptibility mapping using three methods, information value (IV), weights-of-evidence (
Qiqing Wang +4 more
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