Landslides in Forests around the World Causes and Mitigation

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: age group; antecedent effective precipitation; automatic landslide identification; coupled numerical simulation; daily precipitation; data-driven model; deep learning; early-warning model; Economics; Economics of specific sectors; Economics, Finance, Business and Management; energy capacity; Environmental economics; field investigation; flexible rockfall barrier; fluctuation characteristics; forest origin; granular flow; growth and decay; Guang’an Village Landslide; Hechuan District; hybrid landslide warning model; InSAR; Japanese cedar trees; land-use suitability; landslide; landslide debris; landslide susceptibility; landslide susceptibility assessment; landslide susceptibility mapping; machine learning; model study; multibaseline InSAR techniques; n/a; neighboring earthquakes; Ningguo City; nucleation process; post-event deformation mapping; probability of occurrence; qualitative analysis; quantitative evaluation; Random Forest; random forest model; Reference, Information and Interdisciplinary subjects; reinforcement of roots; remote sensing image; repeating earthquakes; Research and information: general; ring-shear test; root diameter; root distribution angle; root reinforcement coefficient; root-soil composite; shallow landslide; shallow landslides; shear strength parameters; slope stability; susceptibility; Three Gorges Reservoir area; time-series analysis; tree species; typhoon; waveform similarity; woodland type; YOLOv3; Yunyang County
• ISBN: 9783036575070; 3036575073; 9783036575063; 3036575065
• DOI: 10.3390/books978-3-0365-7506-3

This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identification of regional landslides, susceptibility and hazard assessment, and a rainfall-induced mass landslide warning.