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Integrated Assessment of Climate Change Impacts and Urban Resilience : From Climate and Hydrological Hazards to Risk Analysis and Measures
Integrated Assessment of Climate Change Impacts and Urban Resilience : From Climate and Hydrological Hazards to Risk Analysis and Measures
Autore Russo Beniamino
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (316 p.)
Soggetto topico Research & information: general
Soggetto non controllato RESCCUE project
Electrical distribution network
Flooding
Risk Assessment
city resiliency
GIS model
drought
water scarcity
water availability
climate change
hydrological modeling
resilience
flooding
hazard mapping
risk identification
sustainability
urban resilience
traffic modelling
resilience assessment
urban services
cities
Ecosystem Services (ES)
Nature-Based Solutions (NBS)
Resilience Assessment Framework (RAF)
stakeholders' validation
stormwater management and control
depth‒damage curves
urban floods
properties
claims
flood expert surveyor
fluvial
pluvial
tidal
sewer
flood
risk
modelling
cascading effects
urban flood
water quality
cost-benefit analysis
combined sewer overflows
climate change adaptation
climate risk
socio-economic assessment
flood risk assessment
1D/2D hydrodynamic model
Metro system
subway
urban mobility
pluvial floods
1D/2D coupled models
impact assessment
adaptation strategies
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Integrated Assessment of Climate Change Impacts and Urban Resilience
Record Nr. UNINA-9910557464103321
Russo Beniamino  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in the Assessment of Flood Risk in Urban Areas
Recent Advances in the Assessment of Flood Risk in Urban Areas
Autore Ferreira Tiago Miguel
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (202 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato integrated operation
urban stream
urban drainage facility
revised resilience index
flood
3Di
loss assessment
analytic hierarchy process (AHP)
risk map
climate change
urban flood risk
flood damage
urban disaster
land use
flood risk susceptibility
FRS-GWR modeling
built-up growth prediction
Thailand
Light Detection and Ranging (LiDAR)
HEC-RAS
2D modeling
flood hazard
urban and peri-urban area
flood risk assessment
flood evacuation
evacuation modelling
behavioral design
urban built environment at risk
human motion in floodwaters
remote sensing
flood extent mapping
Can Tho City
Google Earth engine
uncertainty
support vector machine regression (SVR)
urban flood
risk management
Historic City Centre of Guimarães
pluvial flood
indirect impacts
risk assessment
graph analysis
flood mitigation
Mexico City
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557403503321
Ferreira Tiago Miguel  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Autore Paraforos Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (324 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
ISBN 3-0365-5338-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Sustainable Agriculture and Advances of Remote Sensing
Record Nr. UNINA-9910619464703321
Paraforos Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Autore Paraforos Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (322 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
ISBN 3-0365-5336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Sustainable Agriculture and Advances of Remote Sensing
Record Nr. UNINA-9910619464803321
Paraforos Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World
Autore Zhang Yongqiang
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (216 p.)
Soggetto topico Research & information: general
Soggetto non controllato rainfall monitoring
remote sensing
rain rate estimation
5G
millimeter-wave
E-band
LOS-MIMO
UAV remote sensing
Ephemeral rivers
flood peak discharge
incipient motion
arid ungauged regions
flash flood
Integrated Multi-Satellite Retrievals for Global Precipitation Measurement
Rainfall Triggering Index
Yunnan
ecological water transfer
wetland vegetation ecosystem
surface and groundwater interaction
northwestern China
WRF-3DVar data assimilation
coupled atmospheric-hydrologic system
rainfall-runoff prediction
lumped Hebei model
grid-based Hebei model
WRF-Hydro modeling system
evapotranspiration
model
SWAT
calibration
regression
Sierra Nevada
flux tower
water limitation
vapor pressure deficit
double-mass analysis
coefficient of variability
seasonal ARIMA
MK-S trend analysis
evaporation
LAI
NDVI
urban ecosystem
sponge city
PML-V2
Penman–Monteith equation
Sentinel-2
assimilation frequency
data assimilation
WRF-3DAVR
radar reflectivity
rainfall forecast
urban flood
design rainfall
ungauged drainage basin
RainyDay
IDF formula
hydrological prediction
climate change
land use change
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557426703321
Zhang Yongqiang  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui