Novel Approaches in Landslide Monitoring and Data Analysis

• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: airborne electromagnetics; artificial neural networks; Bayesian updating; Canary Islands; capillary barrier; coastal cliffs; coastal landslides; Conero promontory; construction; control factors; cross validation; cross-sectional area of equal displacement body; data analysis; data mining; digital elevation model; DInSAR; disaster mitigation; disaster prevention monitoring; Earth Sciences, Geography, Environment, Planning; El Hierro; GBSAR; geographically weighted regression; global positioning system; Global Positioning System (GPS); ground-based interferometric synthetic aperture radar; historical landslide events; Iceland; in-hole wire extensometer; InSAR; La Martinique; land surface analysis; landslide; landslide detection; landslide inventory; landslide monitoring; landslide susceptibility; landslide susceptibility assessment; landslide warning method; landslide-dammed lake; landslides; large-scale landslide model experiment; LRM; Markov chain Monte Carlo; mass rock creep; modelling; monitoring; multi-layer slope; multitemporal DEM; object-based image analysis; photogrammetry; physical-based modeling; prediction model; prediction pattern; ranking; Reference, Information and Interdisciplinary subjects; Research and information: general; river; rockfill; San Andrés Landslide; Sentinel-1; Sentinel-2; slope failure; slope unit; slow-moving landslide; soil–water characteristic curve; spatial non-stationary; spatial proximity; susceptibility; susceptibility assessment; target pattern; time-series analysis; tropical volcanic environment; Typhoon Morakot; uncertainty pattern; unsaturated soil
• ISBN: 9783036537870; 9783036537887; 3036537880; 3036537872
• DOI: 10.3390/books978-3-0365-3788-7

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.