Comparative study on landslide susceptibility mapping based on unbalanced sample ratio. [PDF]
Sci Rep, 2023 Tang L, Yu X, Jiang W, Zhou J.
europepmc +3 more sources
MULTI-CRITERIA ANALYSIS APPLIED TO LANDSLIDE SUSCEPTIBILITY MAPPING
Revista Brasileira de Geomorfologia, 2017 This paper presents the application of a multi-criteria analysis (MCA) tool for landslide susceptibility assessment in Porto Alegre municipality, southern Brazil. A knowledge driven approach was used, aiming to ensure an optimal use of the available information.
Mariana Madruga de Brito +2 more
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Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology [PDF]
Sensors, 2019 Geological conditions along the Karakorum Highway (KKH) promote the occurrence of frequent natural disasters, which pose a serious threat to its normal operation.
Fumeng Zhao +5 more
doaj +2 more sources
Effects of non-landslide sampling strategies on machine learning models in landslide susceptibility mapping [PDF]
Scientific ReportsThis study aims to explore the effects of different non-landslide sampling strategies on machine learning models in landslide susceptibility mapping. Non-landslide samples are inherently uncertain, and the selection of non-landslide samples may suffer ...
Tengfei Gu +4 more
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A heuristic approach to global landslide susceptibility mapping. [PDF]
Nat Hazards (Dordr), 2017 Landslides can have significant and pervasive impacts to life and property around the world. Several attempts have been made to predict the geographic distribution of landslide activity at continental and global scales. These efforts shared common traits such as resolution, modeling approach, and explanatory variables.
Stanley T, Kirschbaum DB.
europepmc +4 more sources
Earthquake-induced landslide-susceptibility mapping using an artificial neural network [PDF]
, 2006 The purpose of this study was to apply and verify landslide-susceptibility analysis techniques using an artificial neural network and a Geographic Information System (GIS) applied to Baguio City, Philippines.
Saro Lee, D. G. Evangelista
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GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh. [PDF]
Heliyon, 2023 Chowdhury MS +5 more
europepmc +3 more sources
Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China). [PDF]
Int J Environ Res Public Health, 2020 Wang Y, Sun D, Wen H, Zhang H, Zhang F.
europepmc +2 more sources
Landslide Susceptibility Mapping in Brazil: A Review [PDF]
Geosciences, 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
A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory. [PDF]
Sci RepZhou W +5 more
europepmc +3 more sources