Novel Approaches in Landslide Monitoring and Data Analysis |
Autore | Blahut Jan |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (282 p.) |
Soggetto topico |
Research & information: general
Earth sciences, geography, environment, planning |
Soggetto non controllato |
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 |
ISBN | 3-0365-3788-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619468903321 |
Blahut Jan | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques |
Autore | Calvari Sonia |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (322 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
Stromboli volcano
effusive activity satellite thermal imagery ground-based thermal imagery cinder cone instability pyroclastic density currents Etna volcano lava fountain paroxysmal explosive eruptions ash plume height Landsat 8 satellite images mass discharge rate time-series paroxysmal explosions major explosive events ground and remote sensing monitoring classification of mild Strombolian events lava delta slope failure repeated bathymetric surveys digital elevation models LiDAR PLÉIADES morphological monitoring tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution paroxysmal explosive and effusive episodes ash plume volcano monitoring volcanic hazard numerical modeling Long Valley Caldera deformation and gravity joint inversion topography correction heterogenous crust FEM source parameters intrusion density Cotopaxi volcano 1877 eruption primary lahars drone-imagery geological mapping lahar hazard assessment integrated DInSAR and GNSS time series geodetic dataset volcanic deformation early warning applications natural hazards SO2 flux CO2 flux heat flux Vulcano Island geochemical crisis extensive parameters eruption precursors neural networks self-organizing map seismo-acoustic signals ground-based visible and thermal imagery ground deformation volcano deformation automated detection lava fountains |
ISBN | 3-0365-5120-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619461303321 |
Calvari Sonia | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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