Engineering Application of Landslide Susceptibility Mapping in Linear Engineering Optimization
Frontiers in Earth Science, 2022 Regional landslide susceptibility mapping has an important role in guiding linear engineering optimization. Based on the geographic information system (GIS) platform and R language MaxEnt software, in this research, the China National Highway 109 New ...
Jinchang Shi
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Zhongguo dizhi zaihai yu fangzhi xuebao, 2023 Landslide susceptibility assessment forms the foundation for precise evaluation of landslide risk. To enhance the accuracy and robustness of landslide susceptibility mapping, a state-of-art machine learning algorithm named the extreme gradient boosting ...
Hongyang WU +4 more
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Analyzing the Effects of Spatial Resolution for Small Landslide Susceptibility and Hazard Mapping [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Spatial resolution plays an important role in remote sensing technology as it defines the smallest scale at which surface features may be extracted, identified, and mapped. Remote sensing technology has become a vital component in recent developments for
O. E. Mora +3 more
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Remote Sensing, 2022 Amplifying landslide hazards in the backdrop of warming climate and intensifying human activities calls for an integrated framework for accurately evaluating landslide susceptibility at fine spatiotemporal resolutions, which is critical for the ...
Wenhuan Wu +6 more
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Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. [PDF]
, 2011 This paper presents landslide-susceptibility mapping using an adaptive neuro-fuzzy inference system (ANFIS) using a geographic information system (GIS) environment.
Hyun, Joo Oh, Pradhan, Biswajeet
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Remote Sensing, 2023 Landslide susceptibility mapping is typically based on binary prediction probabilities. However, non-landslide samples in modeling datasets are often unlabeled data, and the phenomenon of class-priori shift, that is, the proportion of landslide samples ...
Lingran Zhao +5 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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Erratum to: `Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia` [Expert Systems with Applications 38 (2011) 8208`8219] [PDF]
, 2013 This note is to point out and correct an error in Sezer et al. (2011). İn the paper (Sezer et al. 2011), the authors mention “ANFIS model has not been used for landslide susceptibility mapping previously”.
Gokceoglu, Candan +2 more
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Environmental Impact of Silicic Magmatism in Large Igneous Province Events
Geophysical Monograph Series, Page 133-151., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Scott E. Bryan
wiley +1 more source
Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms [PDF]
, 2013 Landslide susceptibility and hazard assessments are the most important steps in landslide risk mapping. The main objective of this study was to investigate and compare the results of two artificial neural network (ANN) algorithms, i.e., multilayer ...
A Akgun +87 more
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