Buchumschlag

Novel Approaches in Landslide Monitoring and Data Analysis

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, mode...

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Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2022
Schlagworte:
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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
Online-Zugang:ONIX_20221025_9783036537870_29
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