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Palabras clave – provistas por la editorial

landslide susceptibility assessment; geographically weighted regression; spatial non-stationary; spatial proximity; slope unit; multitemporal DEM; control factors; susceptibility assessment; LRM; historical landslide events; unsaturated soil; capillary barrier; multi-layer slope; slope failure; coastal landslides; mass rock creep; coastal cliffs; land surface analysis; data analysis; Conero promontory; slow-moving landslide; landslide monitoring; time-series analysis; San Andrés Landslide; El Hierro; Canary Islands; large-scale landslide model experiment; soil–water characteristic curve; Bayesian updating; Markov chain Monte Carlo; artificial neural networks; object-based image analysis; Sentinel-1; Sentinel-2; digital elevation model; InSAR; landslide; landslide-dammed lake; river; Iceland; rockfill; ground-based interferometric synthetic aperture radar; construction; cross-sectional area of equal displacement body; landslide warning method; data mining; landslide detection; landslide inventory; Typhoon Morakot; Global Positioning System (GPS); disaster prevention monitoring; disaster mitigation; monitoring; landslides; photogrammetry; global positioning system; in-hole wire extensometer; DInSAR; GBSAR; landslide susceptibility; ranking; cross validation; prediction model; prediction pattern; target pattern; uncertainty pattern; airborne electromagnetics; physical-based modeling; tropical volcanic environment; La Martinique; modelling; susceptibility