Results 21 to 30 of about 32,207 (198)
Land, 2023 Selecting samples with non-landslide attributes significantly impacts the deep-learning modeling of landslide susceptibility mapping. This study presents a method of information value analysis in order to optimize the selection of negative samples used ...
Junjie Ji +4 more
doaj +1 more source
Mapping landslide susceptibility at national scale by spatial multi-criteria evaluation
Geomatics, Natural Hazards & Risk, 2021 The representation of terrain propensity to generate landslides, meaning the mapping of landslide susceptibility, represents a first step in the assessment of the risk induced by these geomorphological hazards.
Adrian Grozavu +1 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Geoscience Frontiers, 2021 The current study aimed at evaluating the capabilities of seven advanced machine learning techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF), Multivariate Adaptive Regression Spline (MARS), Artificial Neural Network (ANN ...
A. Youssef, H. Pourghasemi
semanticscholar +1 more source
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
doaj +1 more source
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
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
doaj +1 more source
Stochastic environmental research and risk assessment (Print), 2023 As one of the most destructive geological disasters, a myriad of landslides has revived and developed in the Three Gorges Reservoir area under the combined action of various detrimental factors.
Fa-sheng Miao +4 more
semanticscholar +1 more source