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Palabras clave – provistas por la editorial

landslide; image classification; spectrum similarity analysis; extreme rainfall-induced landslide susceptibility model; landslide ratio-based logistic regression; landslide evolution; Typhoon Morakot; Taiwan; vegetation community; vegetation importance value; root system; soil erosion; grey correlation analysis; sediment yield; RUSLE; Lancang–Mekong River basin; rainfall threshold; landslide probability model; debris flow; Zechawa Gully; mitigation countermeasures; Jiuzhaigou Valley; water erosion; susceptibility; Gaussian process; climate change; radial basis function kernel; weighted subspace random forest; extreme events; extreme weather; naive Bayes; feature selection; machine learning; hydrologic model; simulated annealing; earth system science; PSED Model; loess; ICU; static liquefaction; mechanical behavior; pore structure; alpine swamp meadow; alpine meadow; degradation of riparian vegetation; root distribution; tensile strength; tensile crack; soil management; land cover changes; Syria; hillslopes; gully erosion; vegetation restoration; soil erodibility; land use; bridge pier; overfall; scour; landform change impact on pier; shallow water equations; wet-dry front; outburst flood; TVD-scheme; MUSCL-Hancock method; laboratory model test; extreme rainfall; rill erosion; shallow landslides; deep lip surface; safety factor; rainfall erosivity factor; USLE R; Deep Neural Network; tree ring; dendrogeomorphology; landslide activity; deciduous broadleaved tree; Shirakami Mountains; spatiotemporal cluster analysis; landslide hotspots; dam breach; seepage; overtopping; seismic signal; flume test; breach model; n/a