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Novel Approaches in Landslide Monitoring and Data Analysis
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
Opac: Controlla la disponibilità qui
Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques
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
Opac: Controlla la disponibilità qui