Landslides in Forests around the World: Causes and Mitigation (MDPI - Multidisciplinary Digital Publishing Institute, 2023)
Keywords: 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