top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Landslide Hazard and Environment Risk Assessment
Landslide Hazard and Environment Risk Assessment
Autore Miccadei Enrico
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (318 p.)
Soggetto topico Research & information: general
Soggetto non controllato Abruzzo Region
AHP
bedrock topography
Central Apennines
climate extremization
DGSDs
DSGSDs
early-warning
environmental risk
factor of safety
fluvial terraces
fuzzy analytic hierarchy process
Geographical Detector
geomorphological mapping
geophysical characterization
GIS
GIS analysis
Gran Sasso Massif
Greece
hazard
hazard assessment
heuristic
historical landslides
Hoek-Brown method
hybrid modeling
hydromechanical modeling
hydroseeding
information value
interaction matrix
inventory
Italy
Kenya
Kerala
landslide
landslide susceptibility
landslides
large-scale landslides
local factor of safety
machine learning
mass movements-prone areas
monoclinal setting
morphostratigraphy
morphotectonic
multitemporal analysis
n/a
normal faults and overthrusts
numerical models
piedmont area
rainfall-induced landslides
risk
river capture
Sardinia
Sibillini Mts
slope
slope stability
snow avalanche
soil sealing
SoilNet
susceptibility
triangular fuzzy numbers
vegetation
water content distribution
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566460903321
Miccadei Enrico  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee
Autore Jung Hyung-Sup
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (438 p.)
Soggetto topico Pharmaceutical chemistry and technology
Soggetto non controllato artificial neural network
model switching
sensitivity analysis
neural networks
logit boost
Qaidam Basin
land subsidence
land use/land cover (LULC)
naïve Bayes
multilayer perceptron
convolutional neural networks
single-class data descriptors
logistic regression
feature selection
mapping
particulate matter 10 (PM10)
Bayes net
gray-level co-occurrence matrix
multi-scale
Logistic Model Trees
classification
Panax notoginseng
large scene
coarse particle
grayscale aerial image
Gaofen-2
environmental variables
variable selection
spatial predictive models
weights of evidence
landslide prediction
random forest
boosted regression tree
convolutional network
Vietnam
model validation
colorization
data mining techniques
spatial predictions
SCAI
unmanned aerial vehicle
high-resolution
texture
spatial sparse recovery
landslide susceptibility map
machine learning
reproducible research
constrained spatial smoothing
support vector machine
random forest regression
model assessment
information gain
ALS point cloud
bagging ensemble
one-class classifiers
leaf area index (LAI)
landslide susceptibility
landsat image
ionospheric delay constraints
spatial spline regression
remote sensing image segmentation
panchromatic
Sentinel-2
remote sensing
optical remote sensing
materia medica resource
GIS
precise weighting
change detection
TRMM
traffic CO
crop
training sample size
convergence time
object detection
gully erosion
deep learning
classification-based learning
transfer learning
landslide
traffic CO prediction
hybrid model
winter wheat spatial distribution
logistic
alternating direction method of multipliers
hybrid structure convolutional neural networks
geoherb
predictive accuracy
real-time precise point positioning
spectral bands
ISBN 9783039212163
3039212168
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367564103321
Jung Hyung-Sup  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning
Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning
Autore Segoni Samuele
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (222 p.)
Soggetto topico Research & information: general
Soggetto non controllato antecedent rainfall threshold
Bhutan
China
DAN-W
dynamic analysis
early warning
early warning system
GIS
hydrological monitoring
Idukki
landslide and debris flow
landslide hazard
landslide susceptibility
landslides
large-scale landslide
lithology
loess landslide
mean annual rainfall
n/a
numerical simulation
optimization
physicallybased model
quantile regression
rainfall
rainfall intensity
rainfall thresholds
rainfall thresholds calculation
satellite-derived rainfall
shallow landslide
shallow landslides
Slovenia
soil water index
SWI-D threshold
temporal probability
thresholds
TRMM Multisatellite Precipitation Analysis 3B42 (TMPA)
tropical Africa
Wayanad
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557355903321
Segoni Samuele  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Natural Hazards
Remote Sensing of Natural Hazards
Autore Ahmed Bayes
Descrizione fisica 1 online resource (314 p.)
Soggetto topico Geography
Research and information: general
Soggetto non controllato ABI
aerial image
agriculture
automatic landslide detection
Bangladesh
BRT
CART
climate change
climate migrants
convolutional neural networks
damage assessment
deep learning
Dhaka
digital elevation model
disaster impact
drought
earthquake
ensemble models
flash flood
flood mapping
flooding
forest ecosystems
geohydrological model
groundwater
ice jam
ice storm
InSAR
InSAR time series
K-Nearest Neighbor
land subsidence and rebound
land use and land cover
landslide
landslide deformation
landslide susceptibility
landslides
logistic regression
machine learning models
modified frequency ratio
MODIS
monitoring and prediction
Multi-Layer Perceptron
naive Bayes tree
natural hazards
NDVI
night-time light data
NUAE
OBIA
ordinal regression
PBA
peri-urbanization
post-disaster recovery
random forest
Random Forest
random forests
rapid mapping
remote sensing
reservoir water level
Sentinel-1
sequential estimation
snowmelt
supervised classification
Support Vector Machine
Three Gorges Reservoir area (China)
uncertainty
urban growth boundary demarcation
validation
VIIRS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595070103321
Ahmed Bayes  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Monitoring and Control in the Future Internet of Things
Smart Monitoring and Control in the Future Internet of Things
Autore Guerrieri Antonio
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (206 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato active CCTV
adaptive control
ant colony optimization (ACO)
architecture
atmospheric
blockchain
channel state information
China-Nepal Highway
classification
communication constraints
computational efficiency
conditioned-based maintenance
convolutional neural network
data analysis
DDoS
decentralized application
device-free passive
electrical devices
embedded system
energy
energy management
Ethereum
feature fusion
hysteresis
indoor localization
indoor occupancy
indoor positioning
integrative framework
intelligent monitoring robot
internet of things
Internet of things
Internet of Things
IoT
IoT platform
Kalman filtering
landslide susceptibility
learning model
LoRa
LSTM
machine learning
monitoring
multi-sensor combination
naive Bayes classification
network traffic
on-line monitoring
packet classification
posture recognition
prognostic and health management
quantum-inspired evolutionary algorithms
remote sensing images
robotic manipulators
routing algorithm
sensing and control
smart environment
smart environments
WiFi fingerprint
wireless body area network
wireless sensor network (WSN)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557510403321
Guerrieri Antonio  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui