MM<sub>3</sub>: Multimodal framework for regional-scale quantitative landslide risk analysis. [PDF]
Pollock W, Wartman J.
europepmc +1 more source
Research on the problem of spatial heterogeneity in row data and generalization capability for landslide susceptibility assessment using the physics-constrained U-net model. [PDF]
Zhang H, Deng H.
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Enhancing landslide detection in Western Ghats of Kerala, India with deep learning and Explainable AI. [PDF]
Sreekumar A +3 more
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Coupled modeling framework for proactive design of debris-flow barrier placements. [PDF]
Lee DH, Lee SR, Park JY.
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Deep critical zone controls on shallow landslides. [PDF]
Moon S +7 more
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Landslide susceptibility mapping using an entropy index-based negative sample selection strategy: A case study of Luolong county. [PDF]
Yuzhong K +10 more
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Spatial transferability of the physically based model TRIGRS using parameter ensembles
AbstractThe development of better, more reliable and more efficient susceptibility assessments for shallow landslides is becoming increasingly important. Physically based models are well‐suited for this, due to their high predictive capability. However, their demands for large, high‐resolution and detailed input datasets make them very time‐consuming ...
Barbara Schneider-Muntau +2 more
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LANDSLIDE RISK MANAGEMENT USING THE MATHEMATICAL MODEL TRIGRS
Geosciences = Geociências, 2022Landslides are recurrent events in Brazil, usually triggered by intense rainfall. When these events occur in urban areas, they end up becoming disasters due to economic damage, social impact, and loss of human life. The identification and monitoring of landslide-prone areas are crucial to avoid fatalities.
Tehrrie KONIG +2 more
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We describe a parallel implementation of TRIGRS, the Transient Rainfall In- filtration and Grid-Based Regional Slope-Stability Model for the timing and distribution of rainfall-induced shallow landslides. We have parallelized the four time-demanding execution modes of TRIGRS, namely both the saturated and unsaturated model with finite and infinite soil
Massimiliano Alvioli
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