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Significant progress has been made in the last few years that has expanded the knowledge of landslide processes. It is, therefore, necessary to summarize, share and disseminate the latest knowledge and expertise. This Special Issue brings together novel research focused on landslide monitoring, modelling and data analysis.

Research & information: general --- Earth sciences, geography, environment, planning --- 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