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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
Autore Shi Jiancheng
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (404 p.)
Soggetto non controllato gross primary production (GPP)
interference filter
Visible Infrared Imaging Radiometer Suite (VIIRS)
cost-efficient
precipitation
topographic effects
land surface temperature
Land surface emissivity
scale effects
spatial-temporal variations
statistics methods
inter-annual variation
spatial representativeness
FY-3C/MERSI
sunphotometer
PROSPECT
passive microwave
flux measurements
urban scale
vegetation dust-retention
multiple ecological factors
leaf age
standard error of the mean
LUT method
spectra
SURFRAD
Land surface temperature
aboveground biomass
uncertainty
land surface variables
copper
Northeast China
forest disturbance
end of growing season (EOS)
random forest model
probability density function
downward shortwave radiation
machine learning
MODIS products
composite slope
daily average value
canopy reflectance
spatiotemporal representative
light use efficiency
hybrid method
disturbance index
quantitative remote sensing inversion
SCOPE
GPP
South China's
anisotropic reflectance
vertical structure
snow cover
land cover change
start of growing season (SOS)
MS-PT algorithm
aerosol
pixel unmixing
HiWATER
algorithmic assessment
surface radiation budget
latitudinal pattern
ICESat GLAS
vegetation phenology
SIF
metric comparison
Antarctica
spatial heterogeneity
comprehensive field experiment
reflectance model
sinusoidal method
NDVI
BRDF
cloud fraction
NPP
VPM
China
dense forest
vegetation remote sensing
Cunninghamia
high resolution
geometric-optical model
phenology
LiDAR
ZY-3 MUX
point cloud
multi-scale validation
Fraunhofer Line Discrimination (FLD)
rice
fractional vegetation cover (FVC)
interpolation
high-resolution freeze/thaw
drought
Synthetic Aperture Radar (SAR)
controlling factors
sampling design
downscaling
Chinese fir
MRT-based model
RADARSAT-2
northern China
leaf area density
potential evapotranspiration
black-sky albedo (BSA)
decision tree
CMA
fluorescence quantum efficiency in dark-adapted conditions (FQE)
surface solar irradiance
validation
geographical detector model
vertical vegetation stratification
spatiotemporal distribution and variation
gap fraction
phenological parameters
spatio-temporal
albedometer
variability
GLASS
gross primary productivity (GPP)
EVI2
machine learning algorithms
latent heat
GLASS LAI time series
boreal forest
leaf
maize
heterogeneity
temperature profiles
crop-growing regions
satellite observations
rugged terrain
species richness
voxel
LAI
TMI data
GF-1 WFV
spectral
HJ-1 CCD
leaf area index
evapotranspiration
land-surface temperature products (LSTs)
SPI
AVHRR
Tibetan Plateau
snow-free albedo
PROSPECT-5B+SAILH (PROSAIL) model
MCD43A3 C6
3D reconstruction
photoelectric detector
multi-data set
BEPS
aerosol retrieval
plant functional type
multisource data fusion
remote sensing
leaf spectral properties
solo slope
land surface albedo
longwave upwelling radiation (LWUP)
terrestrial LiDAR
AMSR2
geometric optical radiative transfer (GORT) model
MuSyQ-GPP algorithm
tree canopy
FY-3C/MWRI
meteorological factors
solar-induced chlorophyll fluorescence
metric integration
observations
polar orbiting satellite
arid/semiarid
homogeneous and pure pixel filter
thermal radiation directionality
biodiversity
gradient boosting regression tree
forest canopy height
Landsat
subpixel information
MODIS
humidity profiles
NIR
geostationary satellite
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346664203321
Shi Jiancheng  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
Autore Shi Jiancheng
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (404 p.)
Soggetto non controllato gross primary production (GPP)
interference filter
Visible Infrared Imaging Radiometer Suite (VIIRS)
cost-efficient
precipitation
topographic effects
land surface temperature
Land surface emissivity
scale effects
spatial-temporal variations
statistics methods
inter-annual variation
spatial representativeness
FY-3C/MERSI
sunphotometer
PROSPECT
passive microwave
flux measurements
urban scale
vegetation dust-retention
multiple ecological factors
leaf age
standard error of the mean
LUT method
spectra
SURFRAD
Land surface temperature
aboveground biomass
uncertainty
land surface variables
copper
Northeast China
forest disturbance
end of growing season (EOS)
random forest model
probability density function
downward shortwave radiation
machine learning
MODIS products
composite slope
daily average value
canopy reflectance
spatiotemporal representative
light use efficiency
hybrid method
disturbance index
quantitative remote sensing inversion
SCOPE
GPP
South China's
anisotropic reflectance
vertical structure
snow cover
land cover change
start of growing season (SOS)
MS-PT algorithm
aerosol
pixel unmixing
HiWATER
algorithmic assessment
surface radiation budget
latitudinal pattern
ICESat GLAS
vegetation phenology
SIF
metric comparison
Antarctica
spatial heterogeneity
comprehensive field experiment
reflectance model
sinusoidal method
NDVI
BRDF
cloud fraction
NPP
VPM
China
dense forest
vegetation remote sensing
Cunninghamia
high resolution
geometric-optical model
phenology
LiDAR
ZY-3 MUX
point cloud
multi-scale validation
Fraunhofer Line Discrimination (FLD)
rice
fractional vegetation cover (FVC)
interpolation
high-resolution freeze/thaw
drought
Synthetic Aperture Radar (SAR)
controlling factors
sampling design
downscaling
Chinese fir
MRT-based model
RADARSAT-2
northern China
leaf area density
potential evapotranspiration
black-sky albedo (BSA)
decision tree
CMA
fluorescence quantum efficiency in dark-adapted conditions (FQE)
surface solar irradiance
validation
geographical detector model
vertical vegetation stratification
spatiotemporal distribution and variation
gap fraction
phenological parameters
spatio-temporal
albedometer
variability
GLASS
gross primary productivity (GPP)
EVI2
machine learning algorithms
latent heat
GLASS LAI time series
boreal forest
leaf
maize
heterogeneity
temperature profiles
crop-growing regions
satellite observations
rugged terrain
species richness
voxel
LAI
TMI data
GF-1 WFV
spectral
HJ-1 CCD
leaf area index
evapotranspiration
land-surface temperature products (LSTs)
SPI
AVHRR
Tibetan Plateau
snow-free albedo
PROSPECT-5B+SAILH (PROSAIL) model
MCD43A3 C6
3D reconstruction
photoelectric detector
multi-data set
BEPS
aerosol retrieval
plant functional type
multisource data fusion
remote sensing
leaf spectral properties
solo slope
land surface albedo
longwave upwelling radiation (LWUP)
terrestrial LiDAR
AMSR2
geometric optical radiative transfer (GORT) model
MuSyQ-GPP algorithm
tree canopy
FY-3C/MWRI
meteorological factors
solar-induced chlorophyll fluorescence
metric integration
observations
polar orbiting satellite
arid/semiarid
homogeneous and pure pixel filter
thermal radiation directionality
biodiversity
gradient boosting regression tree
forest canopy height
Landsat
subpixel information
MODIS
humidity profiles
NIR
geostationary satellite
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346664103321
Shi Jiancheng  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Holography, 3D Imaging and 3D Display
Holography, 3D Imaging and 3D Display
Autore Poon Ting-Chung
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (364 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato optical scanning holography
extended depth-of-field
automatic focus detection
entropy minimization
block partitioned entropy minimization
holographic printing
holographic stereogram
holographic element (hogel)
round-trip imaging
scattering media
3D imaging
transmission matrix
spatial light modulator
digital holography
phase modulation
Fourier spectra
fast characterization
coherent imaging
hologram
holography
phase-only
compression
deep learning
JPEG
convolutional neural network
shape from focus
neural network
weight passing
computer-generated hologram
rainbow hologram
high resolution
fringe printer
wide viewing angle
three-dimensional imaging
multiwavelength digital holography
color holography
phase-shifting interferometry
phase-shifting digital holography
absolute phase retrieval
phase-shift
fringe order
geometric constraints
holographic solar concentrator
holographic lens
volume phase holographic optical elements
near-eye display
leaky mode
lithium niobate
holographic video
augmented reality
3D display
acousto-optic modulator
laser-induced structures
computer holography
spatial light modulators
diffraction gratings
imaging systems
digital hologram
holographic display
tabletop display
hologram measurement
ophthalmoscope
lens design
medical optics and biotechnology
holographic element
virtual reality
3-D optical imaging processing
3-D optical display
3-D projection integral imaging
three-dimensional dual-view display
shape from focus (SFF)
jitter noise
focus curve
Kalman filter
imaging
3D
high-resolution episcopic microscopy
episcopic
phenotyping
HREM
tomographic diffractive microscopy (TDM)
diffracted field
holographic interferometry
inverse scattering
dual-view display
integral imaging
lens-array holographic optical element
3D imaging system
wave field synthesis
vergence-accommodation conflict
lens array
focus cue
light field display
holographic 3D display
computer generated holography
generalized phase-shifting interferometry
slightly tilted reference
numerical simulations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557387703321
Poon Ting-Chung  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning to Understand Remote Sensing Images . Volume 2
Learning to Understand Remote Sensing Images . Volume 2
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (363 pages)
Soggetto non controllato metadata
image classification
sensitivity analysis
ROI detection
residual learning
image alignment
adaptive convolutional kernels
Hough transform
class imbalance
land surface temperature
inundation mapping
multiscale representation
object-based
convolutional neural networks
scene classification
morphological profiles
hyperedge weight estimation
hyperparameter sparse representation
semantic segmentation
vehicle classification
flood
Landsat imagery
target detection
multi-sensor
building damage detection
optimized kernel minimum noise fraction (OKMNF)
sea-land segmentation
nonlinear classification
land use
SAR imagery
anti-noise transfer network
sub-pixel change detection
Radon transform
segmentation
remote sensing image retrieval
TensorFlow
convolutional neural network
particle swarm optimization
optical sensors
machine learning
mixed pixel
optical remotely sensed images
object-based image analysis
very high resolution images
single stream optimization
ship detection
ice concentration
online learning
manifold ranking
dictionary learning
urban surface water extraction
saliency detection
spatial attraction model (SAM)
quality assessment
Fuzzy-GA decision making system
land cover change
multi-view canonical correlation analysis ensemble
land cover
semantic labeling
sparse representation
dimensionality expansion
speckle filters
hyperspectral imagery
fully convolutional network
infrared image
Siamese neural network
Random Forests (RF)
feature matching
color matching
geostationary satellite remote sensing image
change feature analysis
road detection
deep learning
aerial images
image segmentation
aerial image
multi-sensor image matching
HJ-1A/B CCD
endmember extraction
high resolution
multi-scale clustering
heterogeneous domain adaptation
hard classification
regional land cover
hypergraph learning
automatic cluster number determination
dilated convolution
MSER
semi-supervised learning
gate
Synthetic Aperture Radar (SAR)
downscaling
conditional random fields
urban heat island
hyperspectral image
remote sensing image correction
skip connection
ISPRS
spatial distribution
geo-referencing
Support Vector Machine (SVM)
very high resolution (VHR) satellite image
classification
ensemble learning
synthetic aperture radar
conservation
convolutional neural network (CNN)
THEOS
visible light and infrared integrated camera
vehicle localization
structured sparsity
texture analysis
DSFATN
CNN
image registration
UAV
unsupervised classification
SVMs
SAR image
fuzzy neural network
dimensionality reduction
GeoEye-1
feature extraction
sub-pixel
energy distribution optimizing
saliency analysis
deep convolutional neural networks
sparse and low-rank graph
hyperspectral remote sensing
tensor low-rank approximation
optimal transport
SELF
spatiotemporal context learning
Modest AdaBoost
topic modelling
multi-seasonal
Segment-Tree Filtering
locality information
GF-4 PMS
image fusion
wavelet transform
hashing
machine learning techniques
satellite images
climate change
road segmentation
remote sensing
tensor sparse decomposition
Convolutional Neural Network (CNN)
multi-task learning
deep salient feature
speckle
canonical correlation weighted voting
fully convolutional network (FCN)
despeckling
multispectral imagery
ratio images
linear spectral unmixing
hyperspectral image classification
multispectral images
high resolution image
multi-objective
convolution neural network
transfer learning
1-dimensional (1-D)
threshold stability
Landsat
kernel method
phase congruency
subpixel mapping (SPM)
tensor
MODIS
GSHHG database
compressive sensing
ISBN 3-03897-699-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755503321
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning to Understand Remote Sensing Images . Volume 1
Learning to Understand Remote Sensing Images . Volume 1
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (414 pages)
Soggetto non controllato metadata
image classification
sensitivity analysis
ROI detection
residual learning
image alignment
adaptive convolutional kernels
Hough transform
class imbalance
land surface temperature
inundation mapping
multiscale representation
object-based
convolutional neural networks
scene classification
morphological profiles
hyperedge weight estimation
hyperparameter sparse representation
semantic segmentation
vehicle classification
flood
Landsat imagery
target detection
multi-sensor
building damage detection
optimized kernel minimum noise fraction (OKMNF)
sea-land segmentation
nonlinear classification
land use
SAR imagery
anti-noise transfer network
sub-pixel change detection
Radon transform
segmentation
remote sensing image retrieval
TensorFlow
convolutional neural network
particle swarm optimization
optical sensors
machine learning
mixed pixel
optical remotely sensed images
object-based image analysis
very high resolution images
single stream optimization
ship detection
ice concentration
online learning
manifold ranking
dictionary learning
urban surface water extraction
saliency detection
spatial attraction model (SAM)
quality assessment
Fuzzy-GA decision making system
land cover change
multi-view canonical correlation analysis ensemble
land cover
semantic labeling
sparse representation
dimensionality expansion
speckle filters
hyperspectral imagery
fully convolutional network
infrared image
Siamese neural network
Random Forests (RF)
feature matching
color matching
geostationary satellite remote sensing image
change feature analysis
road detection
deep learning
aerial images
image segmentation
aerial image
multi-sensor image matching
HJ-1A/B CCD
endmember extraction
high resolution
multi-scale clustering
heterogeneous domain adaptation
hard classification
regional land cover
hypergraph learning
automatic cluster number determination
dilated convolution
MSER
semi-supervised learning
gate
Synthetic Aperture Radar (SAR)
downscaling
conditional random fields
urban heat island
hyperspectral image
remote sensing image correction
skip connection
ISPRS
spatial distribution
geo-referencing
Support Vector Machine (SVM)
very high resolution (VHR) satellite image
classification
ensemble learning
synthetic aperture radar
conservation
convolutional neural network (CNN)
THEOS
visible light and infrared integrated camera
vehicle localization
structured sparsity
texture analysis
DSFATN
CNN
image registration
UAV
unsupervised classification
SVMs
SAR image
fuzzy neural network
dimensionality reduction
GeoEye-1
feature extraction
sub-pixel
energy distribution optimizing
saliency analysis
deep convolutional neural networks
sparse and low-rank graph
hyperspectral remote sensing
tensor low-rank approximation
optimal transport
SELF
spatiotemporal context learning
Modest AdaBoost
topic modelling
multi-seasonal
Segment-Tree Filtering
locality information
GF-4 PMS
image fusion
wavelet transform
hashing
machine learning techniques
satellite images
climate change
road segmentation
remote sensing
tensor sparse decomposition
Convolutional Neural Network (CNN)
multi-task learning
deep salient feature
speckle
canonical correlation weighted voting
fully convolutional network (FCN)
despeckling
multispectral imagery
ratio images
linear spectral unmixing
hyperspectral image classification
multispectral images
high resolution image
multi-objective
convolution neural network
transfer learning
1-dimensional (1-D)
threshold stability
Landsat
kernel method
phase congruency
subpixel mapping (SPM)
tensor
MODIS
GSHHG database
compressive sensing
ISBN 3-03897-685-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755603321
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Non-destructive Testing in Civil Engineering
Non-destructive Testing in Civil Engineering
Autore Hoła Jerzy
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (320 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato conveyor belt
climatic factors
thermal shocks
mechanical properties
applied geophysics
urban geophysics
Eleftheria Square
ERT
probability-based ERT inversion (PERTI) method
GPR
EMI
impact-echo
tooth gear impactor
contact duration
delamination
rapid scanning
non-destructive testing
concrete slab
building defects
building diagnosis
building envelope
building inspection system
urgency of repair
historic buildings
brick walls
nondestructive testing
artificial neural networks
Nearly Zero Energy Buildings (NZEB)
passive house (PH)
heat flux meter (HFM)
quantitative infrared thermography (QIRT)
building thermal performance
U-value
Mediterranean climate
electrical resistivity
electrical impedance
concrete
mortar
measurement accuracy
ultrasonic elastography
underground detection
soil inspection
underwater acoustics
non-destructive test
monitoring
housing
buildings
façade
thermal transmittance
HFM method
infrared thermography
solar loading thermography
lock-in thermography
passive thermography
thermal thickness
thermal effusivity
infrastructure
NDT
onsite X-ray bridge inspection
950 keV/3.95 MeV X-ray sources
PC bridge
unfilled grout
quantitative evaluation of stage of unfilled grout
step-heating thermography
active thermography
linear effusivity fit
ground-penetrating radar
signal features
material moisture
classification
machine learning
moisture measurements
building floors
civil engineering
crack measurement
image processing
high resolution
working distance
crack width
visual inspection
structure state assessment
ground sample distance (GSD)
sonic resonant method
impulse excitation technique
resonant frequency
steel fiber reinforced concrete
fiber orientation
micro-computed tomography
ultrasound
spectral induced polarization
small force
load
instrumental signal
two-point bending test
strain gauge
calibration equation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595072203321
Hoła Jerzy  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms
Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms
Autore Amin Moeness
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (196 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato high-resolution
highly-squinted
maneuvers
fifth-order motion parameter model
spatial variation
frequency-domain processing
extended back-projection algorithm
topography variations
computational burden
high resolution
lunar penetrating radar
lunar exploration
compressive sensing
lunar regolith modeling
signal processing
Synthetic Aperture Radar (SAR)
Airborne SAR
Sounder
P-Band
helicopter-borne radar
UHF and VHF bands
MIMO radar
through-wall imaging
ultrawideband signal
SFCW
sparse array
back projection algorithm
Vivaldi antenna
SAR Interferometry
Digital Elevation Model (DEM)
Frequency-Modulated Continuous-Wave (FMCW)
differential interferometry
DInSAR
precision agriculture
drone-borne radar
crop growth deficit map
radar imaging
unmanned aerial vehicle
inverse scattering
linear scattering models
global positioning systems
range-Doppler processor
corner reflector
forward-looking GPR
surface clutter
near-field
antenna arrays
microwave imaging
coherence factor
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674022003321
Amin Moeness  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Selected Papers from Experimental Stress Analysis 2020
Selected Papers from Experimental Stress Analysis 2020
Autore Kocich Radim
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (214 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato residual stresses
neutron diffraction
three axis setting
high resolution
bent crystal monochromator
bent crystal analyzer
stainless steel 316L
additive manufacturing
multiaxial loading
plasticity
digital image correlation method
hill yield criterion
isotropic hardening
finite element method (FEM)
straightening process
three-point bending
FEM
control strategy
billet straightening
multiaxial fatigue
high-cycle fatigue
multiaxial fatigue experiments
S-N curve approximation
laser welding
pressure vessel steel
microstructure
X-ray and neutron diffraction
high-cycle fatigue tests
wearable
flexible
structure
stiffness
biomedical
mechanics
simulation
pattern
3D print
PA12
tram
pedestrian
crash
windshield model
HIC
hole-drilling
PhotoStress
digital image correlation
experimental analysis
finite element analysis
composite
thermoplastic
interlaminar strength
polyphenylensulfid
polyetheretherketone
polyaryletherketone
curved beam
NDE
infrared thermography
Infrared Nondestructive Testing
CFRP
Anand material model
material parameters
ABS-M30
indentation test
genetic algorithm
acoustic emission
CFRP composite tube
unsupervised learning approach
failure mechanism
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566486703321
Kocich Radim  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Analysis and Stochastic Modelling of Hydrological Extremes
Statistical Analysis and Stochastic Modelling of Hydrological Extremes
Autore Tabari Hossein
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (294 p.)
Soggetto non controllato artificial neural network
downscaling
innovative methods
reservoir inflow forecasting
simulation
extreme events
climate variability
sparse monitoring network
weighted mean analogue
sampling errors
precipitation
drought indices
discrete wavelet
SWSI
hyetograph
trends
climate change
SIAP
Kabul river basin
Hurst exponent
extreme rainfall
evolutionary strategy
the Cauca River
hydrological drought
global warming
least square support vector regression
polynomial normal transform
TRMM
satellite data
Fiji
heavy storm
flood regime
compound events
random forest
uncertainty
seasonal climate forecast
INDC pledge
Pakistan
wavelet artificial neural network
HBV model
temperature
APCC Multi-Model Ensemble
meteorological drought
flow regime
high resolution
rainfall
clausius-clapeyron scaling
statistical downscaling
ENSO
forecasting
variation analogue
machine learning
extreme rainfall analysis
hydrological extremes
multivariate modeling
monsoon
non-stationary
support vector machine
ANN model
stretched Gaussian distribution
drought prediction
non-normality
statistical analysis
extreme precipitation exposure
drought analysis
extreme value theory
streamflow
flood management
ISBN 3-03921-665-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367749703321
Tabari Hossein  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui