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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 online resource (282 p.)
Soggetto topico Earth Sciences, Geography, Environment, Planning
Research and information: general
Soggetto non controllato 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
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
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 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
Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
Autore Marcello Javier
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (262 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato very high-resolution Pléiades imagery
surface convergence
data augmentation
acquisition geometry
SVM classification
urban water mapping
beaver dam analogue
agriculture parcel segmentation
morphological building index
airborne hypespectral imagery
sunglint correction
water index
over-segmentation index (OSI)
High-resolution satellite imagery
multi-resolution segmentation (MRS)
GaoFen-2 (GF-2)
benthic mapping
scene classification
greenhouse extraction
edge constraint
Deformable CNN
built-up areas extraction
ultra-dense connection
seagrass
beaver mimicry
forested mountain
natural hazards
remote sensing
dimensionality reduction techniques
road extraction
landslide monitoring
Slumgullion landslide
synthetic aperture radar
building detection
Worldview-2
saliency index
under-segmentation index (USI)
texture analysis
fast marching method
video satellite
CNN
capsule
super-resolution
feature distillation
shadow detection
PrimaryCaps
semiautomatic
compensation unit
superpixels
riparian
QuickBird
submesoscale
linear unmixing
accuracy assessment
composite error index (CEI)
cyanobacteria
local feature points
Faster R-CNN
occluded object detection
error index of total area (ETA)
large displacements
threshold stability
remote sensing imagery
water column correction
canopy height model
spiral eddy
sub-pixel offset tracking
consensus
stream restoration
western Baltic Sea
Worldview
very high-resolution image
CapsNet
atmospheric correction
ISBN 9783039217571
3039217577
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367747503321
Marcello Javier  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui