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Adaptive Catchment Management and Reservoir Operation
Adaptive Catchment Management and Reservoir Operation
Autore Ni Guangheng
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (498 p.)
Soggetto non controllato downscaling
suspended sediment concentration
modeling
South-to-North Water Transfer Project
sensitivity analysis
simulation
protection zone
reservoirs
mussel
sediment regime
resilience and robustness
optimal flood control operation
multi-objective model
optimization
scenario analysis
floodplain vertical shape index
aftereffect
lentic habitats
energy
stochastic linear programming
?-constrained method
Tekeze basin
runoff
cascade reservoirs
costs and benefits
sediment flushing efficiency
vulnerability
Heihe River Basin
TB-MPC
heating impact
flushing efficiency
system dynamics
Indian Monsoon
shaft spillway pipe
integrated supply system modeling
seasonal rainfall
sediment management
design and operation of the multipurpose reservoir
Kappa distribution
CO2
reliability
uncertainty
Yangtze River
Markov chain
the Yangtze River
Environmental Fluid Dynamics Code (EFDC) model
land and water resources
integrated surface water-groundwater model
Heilongjiang
Kurobe River
flow regime
numerical simulation
long distance water diversion
tropical reservoir
multi-stage stochastic optimization
direct policy search
inverted siphon
environmental flow
parameterization
accompanying progressive optimality algorithm
integrated management
hydropower stations
differential evolution algorithm
sediment flushing of empty storage
back propagation neural network
NSGA-II
two-dimensional bed evolution model
real-time control
upper Chao Phraya River Basin
CMIP5
genetic algorithm
dam
irrigation
CMIP3
water energy
discharge
the Jingjiang River Reach
water environmental capacity (WEC)
climate change
shortage ratio: Vulnerability
optimal scheduling
hydrology
Siemianówka
ungauged basin
game theory
power function
SWAT
Dokan Dam
natural flow regime
bitterling
reservoir flushing
vertical profiles of concentration
ratio curve
partial gauged basin
sediment load
adaptive management
water deficit
the upper Yangtze River Basin
Miyun Reservoir
parameter relation
stochastic dynamic programming
NPP
runoff response
Narew River
coupling model
Langcang-Mekong River
drinking water resources
the Huangshi Reservoir
reverse regulation
nutrient uptake
water resources allocation
multi-agent of river basin
HEC-ResPRM
dynamic programming with progressive optimality algorithm (DP-POA)
reservoir operation
sea surface temperatures
reservoir simulation model
SWAT model
El Niño/Southern Oscillation
CORDEX-Africa
hedging policy
multi-objective optimization NSGA II
reservoir
general regression neural network
flood control
Jingjiang River Reach
catchment modelling
ISBN 3-03897-739-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346678403321
Ni Guangheng  
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 . 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
Climate variability and change in the 21th Century
Climate variability and change in the 21th Century
Autore Stefanidis Stefanos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (384 p.)
Soggetto topico Research & information: general
Soggetto non controllato California
hydrologic regions
warming
drought
regional climate modeling
hydrological modeling
bias correction
multivariate
pseudo reality
rainfall
trend analysis
Mann–Kendall
kriging interpolation
multiple climate models
standardized precipitation index (SPI)
droughts
weights
Vu Gia-Thu Bon
climate change
optimal control
geoengineering
climate manipulation
GCM
RCM
CMIP5
CORDEX
climate model selection
upper Indus basin
NDVI
ENSO
wavelet
time series analysis
Hluhluwe-iMfolozi Park
Google Earth Engine
Mediterranean climate
cluster analysis
objective classification
ERA5
mega-fires
Bayesian-model averaging
model uncertainty
climate-fire models
Mono River watershed
climate
temperature
heat wave
excess heat factor
acclimatization
Greece
precipitations
Hurst exponent
persistence
spatial correlation
Caucasian region
Regional Climate Model
climate classification
bias correction methods
precipitation
terrestrial ecosystems
GPP
LAI
CO2 fertilization effect
feedback
sassandra watershed
Côte d’Ivoire
boreal region
extreme wind speed
wind climate
soil frost
wind damage risk management
wind multiplier
downscaling
topography
surface roughness
VIIRS
MODIS
OLCI
RSB
SNPP
Terra
Aqua
Sentinel-3A
reflective solar bands
intersensor comparison
intercalibration
SNO
climate indices
climate change and Conakry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557547603321
Stefanidis Stefanos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Extreme Floods and Droughts under Future Climate Scenarios
Extreme Floods and Droughts under Future Climate Scenarios
Autore Markus Momcilo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (174 p.)
Soggetto non controllato downscaling
floods
flood risk
Boise River Watershed
flooding frequency
CMIP5
flood frequency analysis
streamflow regulation rules
droughts
downscaled projections
flood inundation maps
RCM uncertainty
climate change and variability
RCP4.5
climate change
RCP8.5
frequency estimates
water resource systems
climate change impacts
extreme rainfall
catchment based macroscale floodplain model
consecutive dry days
Canada
water quality
Copula function
return period
drought-flood abrupt alternation
ensembles
continuous simulations
extreme hydrologic events
hydrological risk assessment
uncertainty
climate projections
Southeast U.S.
extreme precipitation
EURO-CORDEX projections
temporal and spatial evolution
HSPF
changing of exceedance
Northeastern US
climate
flash flood
spatial analog
future projections
flood hazard
future precipitation at urban scale
ISBN 3-03921-899-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367740603321
Markus Momcilo  
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 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
Remote Sensing by Satellite Gravimetry
Remote Sensing by Satellite Gravimetry
Autore Gruber Thomas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato terrestrial water storage (TWS)
GRACE
GLDAS
TRMM
drought
ENSO
NAO
Turkey
Mass balance
Ice Sheets
Sea-level Rise
Antarctica
CryoSat-2
GRACE-Follow On
GRACE-FO
downward continuation
spectral methods
gravity field recovery
GRACE Follow-On
orbit configuration
synergistic observation
mass transport in the Earth system
GRACE and GRACE follow-on mission
current and future observation concepts and instruments
GRACE TWSA
groundwater level anomaly
downscaling
machine learning
boosted regression trees
glacial sediment
ice mass
satellite gravimetry
Patagonia
ice mass change
SLR
swarm
normal equation combination
coseismic gravity gradient changes
gravity field model
GOCE
Earth’s gravity field
kinematic orbit
kinematic baseline
time-variable gravity
geocenter
reference frames
self-attraction and loading
Level-2 processing
time-variable gravity field
mass change monitoring
next-generation gravity mission
temporal gravity field
numerical closed-loop simulation
satellite mission constellations
mass transport
gravity field satellite missions
GOCE High-Level Processing Facility (HPF), earth gravity field
geoid
spectral enhancement method (SEM), GPS/leveling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557772303321
Gruber Thomas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Hydrology and Water Resources Management
Remote Sensing in Hydrology and Water Resources Management
Autore Duan Weili
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (487 p.)
Soggetto topico Research & information: general
Soggetto non controllato precipitation datasets
evaluation
spatial scale
temporal scale
climate
Yellow River Basin
data assimilation
WRF
WRFDA
3DVar
water levels
surface areas
volume variations
hypsometry
bathymetry
lakes
reservoirs
remote sensing
DAHITI
modified strahler approach
airborne LiDAR
DEM
flood inundation
flood map
flood model
LiDAR
terrestrial LiDAR
evapotranspiration
variability
uncertainty
unmanned aerial system
sUAS
multispectral
viticulture
water resources management
California
lake
Tibetan Plateau
hydrological changes
water balance
Chindwin basin
hydrological modelling
multi-variable calibration
satellite-based rainfall product
TRMM
temporal resolution
rainfall erosivity
combined approach
multi-objective optimization
modeling uncertainty
model constraint
SWAT
semiarid area
hydrological variations
normalized difference vegetation index
total water storage change
groundwater change
extreme precipitation
estimation
TMPA 3B42-V7
regional frequency analysis
China
satellite datasets
accuracy evaluation
hydrological applicability
Bosten Lake Basin
actual evapotranspiration
available water resources
climate change
vegetation greening
VIP-RS model
Lancang-Mekong river basin
MSWEP
AgMERRA
APHRODITE
CHIRPS
PERSIANN
error correction
agricultural water management
crop water consumption
remote sensing model
evapotranspiration allocation
inland water
IWCT
Tianjin
Landsat data
Tarim River Basin
desert-oasis ecotone
land-use change
CA-Markov model
remote sensing in hydrology
precipitation
performance evaluation
GPM
Poyang Lake
Yangtze River
assimilation
nonparametric modeling
multi-source
landscape pattern
spatiotemporal changes
influencing factors
watershed
China SE
satellite data
LUE-GPP
SPEI
copula function
conditional probability
soil moisture
neural network
downscaling
microwave data
MODIS data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557632803321
Duan Weili  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing Monitoring of Land Surface Temperature (LST)
Remote Sensing Monitoring of Land Surface Temperature (LST)
Autore Sánchez Juan Manuel
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (337 p.)
Soggetto topico Environmental science, engineering & technology
Soggetto non controllato Land Surface Temperature (LST)
satellite retrievals of LST
LST from GOES satellites
land surface temperature
drones
unmanned aerial vehicles
thermal remote sensing
MODIS
Bayesian Maximum Entropy
interpolation
Himalaya
air temperature
topography
Landsat
split window algorithm
TIRS
thermal
Landsat 8
stray light correction
split-window algorithm
single-channel algorithm
AMSR2
annual cycle parameters
random forest
cloudy sky LST
evapotranspiration
data fusion
field-scale
machine-learning
physical model
Sentinel-2
Sentinel-3
Downscaling
thermal infrared
disaggregation
Copernicus
hyperspectral thermal infrared
spectral smoothness
temperature-emissivity separation
sensitivity analysis
noise
land surface temperature (LST)
daytime LST
nighttime LST
validation
land surface emissivity (LSE)
single channel algorithm
radiative transfer equation
mono window algorithm
SURFRAD data
GK2A
split-window method
BSRN
LST
downscaling
LSA-SAF
Sentinel 2
DEM
spatial averaging biases
land surface emissivity
measurement uncertainties
emissivity box method
Fourier transform infrared spectrometer
portable spectrometer
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing Monitoring of Land Surface Temperature
Record Nr. UNINA-9910557522303321
Sánchez Juan Manuel  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui