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Adaptive Catchment Management and Reservoir Operation / Guangtao Fu, Guangheng Ni, Chi Zhang
Adaptive Catchment Management and Reservoir Operation / Guangtao Fu, Guangheng Ni, Chi Zhang
Autore Fu Guangtao
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (498 p.)
Soggetto topico History of engineering and technology
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 9783038977391
303897739X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346678403321
Fu Guangtao  
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 online resource (404 p.)
Soggetto topico Geography
Soggetto non controllato Cunninghamia
3D reconstruction
aboveground biomass
aerosol
aerosol retrieval
albedometer
algorithmic assessment
AMSR2
anisotropic reflectance
Antarctica
arid/semiarid
AVHRR
BEPS
biodiversity
black-sky albedo (BSA)
boreal forest
BRDF
canopy reflectance
China
Chinese fir
cloud fraction
CMA
composite slope
comprehensive field experiment
controlling factors
copper
cost-efficient
crop-growing regions
daily average value
decision tree
dense forest
disturbance index
downscaling
downward shortwave radiation
drought
end of growing season (EOS)
evapotranspiration
EVI2
fluorescence quantum efficiency in dark-adapted conditions (FQE)
flux measurements
forest canopy height
forest disturbance
fractional vegetation cover (FVC)
Fraunhofer Line Discrimination (FLD)
FY-3C/MERSI
FY-3C/MWRI
gap fraction
geographical detector model
geometric optical radiative transfer (GORT) model
geometric-optical model
geostationary satellite
GF-1 WFV
GLASS
GLASS LAI time series
GPP
gradient boosting regression tree
gross primary production (GPP)
gross primary productivity (GPP)
heterogeneity
high resolution
high-resolution freeze/thaw
HiWATER
HJ-1 CCD
homogeneous and pure pixel filter
humidity profiles
hybrid method
ICESat GLAS
inter-annual variation
interference filter
interpolation
LAI
land cover change
land surface albedo
Land surface emissivity
land surface temperature
Land surface temperature
land surface variables
land-surface temperature products (LSTs)
Landsat
latent heat
latitudinal pattern
leaf
leaf age
leaf area density
leaf area index
leaf spectral properties
LiDAR
light use efficiency
longwave upwelling radiation (LWUP)
LUT method
machine learning
machine learning algorithms
maize
MCD43A3 C6
meteorological factors
metric comparison
metric integration
MODIS
MODIS products
MRT-based model
MS-PT algorithm
multi-data set
multi-scale validation
multiple ecological factors
multisource data fusion
MuSyQ-GPP algorithm
n/a
NDVI
NIR
Northeast China
northern China
NPP
observations
passive microwave
phenological parameters
phenology
photoelectric detector
pixel unmixing
plant functional type
point cloud
polar orbiting satellite
potential evapotranspiration
precipitation
probability density function
PROSPECT
PROSPECT-5B+SAILH (PROSAIL) model
quantitative remote sensing inversion
RADARSAT-2
random forest model
reflectance model
remote sensing
rice
rugged terrain
sampling design
satellite observations
scale effects
SCOPE
SIF
sinusoidal method
snow cover
snow-free albedo
solar-induced chlorophyll fluorescence
solo slope
South China's
spatial heterogeneity
spatial representativeness
spatial-temporal variations
spatio-temporal
spatiotemporal distribution and variation
spatiotemporal representative
species richness
spectra
spectral
SPI
standard error of the mean
start of growing season (SOS)
statistics methods
subpixel information
sunphotometer
surface radiation budget
surface solar irradiance
SURFRAD
Synthetic Aperture Radar (SAR)
temperature profiles
terrestrial LiDAR
thermal radiation directionality
Tibetan Plateau
TMI data
topographic effects
tree canopy
uncertainty
urban scale
validation
variability
vegetation dust-retention
vegetation phenology
vegetation remote sensing
vertical structure
vertical vegetation stratification
Visible Infrared Imaging Radiometer Suite (VIIRS)
voxel
VPM
ZY-3 MUX
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
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 online resource (404 p.)
Soggetto topico Geography
Soggetto non controllato Cunninghamia
3D reconstruction
aboveground biomass
aerosol
aerosol retrieval
albedometer
algorithmic assessment
AMSR2
anisotropic reflectance
Antarctica
arid/semiarid
AVHRR
BEPS
biodiversity
black-sky albedo (BSA)
boreal forest
BRDF
canopy reflectance
China
Chinese fir
cloud fraction
CMA
composite slope
comprehensive field experiment
controlling factors
copper
cost-efficient
crop-growing regions
daily average value
decision tree
dense forest
disturbance index
downscaling
downward shortwave radiation
drought
end of growing season (EOS)
evapotranspiration
EVI2
fluorescence quantum efficiency in dark-adapted conditions (FQE)
flux measurements
forest canopy height
forest disturbance
fractional vegetation cover (FVC)
Fraunhofer Line Discrimination (FLD)
FY-3C/MERSI
FY-3C/MWRI
gap fraction
geographical detector model
geometric optical radiative transfer (GORT) model
geometric-optical model
geostationary satellite
GF-1 WFV
GLASS
GLASS LAI time series
GPP
gradient boosting regression tree
gross primary production (GPP)
gross primary productivity (GPP)
heterogeneity
high resolution
high-resolution freeze/thaw
HiWATER
HJ-1 CCD
homogeneous and pure pixel filter
humidity profiles
hybrid method
ICESat GLAS
inter-annual variation
interference filter
interpolation
LAI
land cover change
land surface albedo
Land surface emissivity
land surface temperature
Land surface temperature
land surface variables
land-surface temperature products (LSTs)
Landsat
latent heat
latitudinal pattern
leaf
leaf age
leaf area density
leaf area index
leaf spectral properties
LiDAR
light use efficiency
longwave upwelling radiation (LWUP)
LUT method
machine learning
machine learning algorithms
maize
MCD43A3 C6
meteorological factors
metric comparison
metric integration
MODIS
MODIS products
MRT-based model
MS-PT algorithm
multi-data set
multi-scale validation
multiple ecological factors
multisource data fusion
MuSyQ-GPP algorithm
n/a
NDVI
NIR
Northeast China
northern China
NPP
observations
passive microwave
phenological parameters
phenology
photoelectric detector
pixel unmixing
plant functional type
point cloud
polar orbiting satellite
potential evapotranspiration
precipitation
probability density function
PROSPECT
PROSPECT-5B+SAILH (PROSAIL) model
quantitative remote sensing inversion
RADARSAT-2
random forest model
reflectance model
remote sensing
rice
rugged terrain
sampling design
satellite observations
scale effects
SCOPE
SIF
sinusoidal method
snow cover
snow-free albedo
solar-induced chlorophyll fluorescence
solo slope
South China's
spatial heterogeneity
spatial representativeness
spatial-temporal variations
spatio-temporal
spatiotemporal distribution and variation
spatiotemporal representative
species richness
spectra
spectral
SPI
standard error of the mean
start of growing season (SOS)
statistics methods
subpixel information
sunphotometer
surface radiation budget
surface solar irradiance
SURFRAD
Synthetic Aperture Radar (SAR)
temperature profiles
terrestrial LiDAR
thermal radiation directionality
Tibetan Plateau
TMI data
topographic effects
tree canopy
uncertainty
urban scale
validation
variability
vegetation dust-retention
vegetation phenology
vegetation remote sensing
vertical structure
vertical vegetation stratification
Visible Infrared Imaging Radiometer Suite (VIIRS)
voxel
VPM
ZY-3 MUX
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
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 online resource (384 p.)
Soggetto topico Research & information: general
Soggetto non controllato acclimatization
Aqua
Bayesian-model averaging
bias correction
bias correction methods
boreal region
California
Caucasian region
climate
climate change
climate change and Conakry
climate classification
climate indices
climate manipulation
climate model selection
climate-fire models
cluster analysis
CMIP5
CO2 fertilization effect
CORDEX
Côte d'Ivoire
downscaling
drought
droughts
ENSO
ERA5
excess heat factor
extreme wind speed
feedback
GCM
geoengineering
Google Earth Engine
GPP
Greece
heat wave
Hluhluwe-iMfolozi Park
Hurst exponent
hydrologic regions
hydrological modeling
intercalibration
intersensor comparison
kriging interpolation
LAI
Mann-Kendall
Mediterranean climate
mega-fires
model uncertainty
MODIS
Mono River watershed
multiple climate models
multivariate
NDVI
objective classification
OLCI
optimal control
persistence
precipitation
precipitations
pseudo reality
rainfall
RCM
reflective solar bands
Regional Climate Model
regional climate modeling
RSB
sassandra watershed
Sentinel-3A
SNO
SNPP
soil frost
spatial correlation
standardized precipitation index (SPI)
surface roughness
temperature
Terra
terrestrial ecosystems
time series analysis
topography
trend analysis
upper Indus basin
VIIRS
Vu Gia-Thu Bon
warming
wavelet
weights
wind climate
wind damage risk management
wind multiplier
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 online resource (174 p.)
Soggetto topico Meteorology & climatology
Soggetto non controllato Boise River Watershed
Canada
catchment based macroscale floodplain model
changing of exceedance
climate
climate change
climate change and variability
climate change impacts
climate projections
CMIP5
consecutive dry days
continuous simulations
Copula function
downscaled projections
downscaling
drought-flood abrupt alternation
droughts
ensembles
EURO-CORDEX projections
extreme hydrologic events
extreme precipitation
extreme rainfall
flash flood
flood frequency analysis
flood hazard
flood inundation maps
flood risk
flooding frequency
floods
frequency estimates
future precipitation at urban scale
future projections
HSPF
hydrological risk assessment
Northeastern US
RCM uncertainty
RCP4.5
RCP8.5
return period
Southeast U.S.
spatial analog
streamflow regulation rules
temporal and spatial evolution
uncertainty
water quality
water resource systems
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 1 / Qi Wang
Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (414 pages)
Soggetto topico Computer science
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 9783038976851
3038976857
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
Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
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 9783038976998
3038976997
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
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 online resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato Antarctica
boosted regression trees
coseismic gravity gradient changes
CryoSat-2
current and future observation concepts and instruments
downscaling
downward continuation
drought
Earth's gravity field
ENSO
geocenter
geoid
glacial sediment
GLDAS
GOCE
GOCE High-Level Processing Facility (HPF), earth gravity field
GRACE
GRACE and GRACE follow-on mission
GRACE Follow-On
GRACE TWSA
GRACE-FO
GRACE-Follow On
gravity field model
gravity field recovery
gravity field satellite missions
groundwater level anomaly
ice mass
ice mass change
Ice Sheets
kinematic baseline
kinematic orbit
Level-2 processing
machine learning
Mass balance
mass change monitoring
mass transport
mass transport in the Earth system
NAO
next-generation gravity mission
normal equation combination
numerical closed-loop simulation
orbit configuration
Patagonia
reference frames
satellite gravimetry
satellite mission constellations
Sea-level Rise
self-attraction and loading
SLR
spectral enhancement method (SEM), GPS/leveling
spectral methods
swarm
synergistic observation
temporal gravity field
terrestrial water storage (TWS)
time-variable gravity
time-variable gravity field
TRMM
Turkey
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 online resource (487 p.)
Soggetto topico Research & information: general
Soggetto non controllato 3DVar
accuracy evaluation
actual evapotranspiration
AgMERRA
agricultural water management
airborne LiDAR
APHRODITE
assimilation
available water resources
bathymetry
Bosten Lake Basin
CA-Markov model
California
China
China SE
Chindwin basin
CHIRPS
climate
climate change
combined approach
conditional probability
copula function
crop water consumption
DAHITI
data assimilation
DEM
desert-oasis ecotone
downscaling
error correction
estimation
evaluation
evapotranspiration
evapotranspiration allocation
extreme precipitation
flood inundation
flood map
flood model
GPM
groundwater change
hydrological applicability
hydrological changes
hydrological modelling
hydrological variations
hypsometry
influencing factors
inland water
IWCT
lake
lakes
Lancang-Mekong river basin
land-use change
Landsat data
landscape pattern
LiDAR
LUE-GPP
microwave data
model constraint
modeling uncertainty
modified strahler approach
MODIS data
MSWEP
multi-objective optimization
multi-source
multi-variable calibration
multispectral
n/a
neural network
nonparametric modeling
normalized difference vegetation index
performance evaluation
PERSIANN
Poyang Lake
precipitation
precipitation datasets
rainfall erosivity
regional frequency analysis
remote sensing
remote sensing in hydrology
remote sensing model
reservoirs
satellite data
satellite datasets
satellite-based rainfall product
semiarid area
soil moisture
spatial scale
spatiotemporal changes
SPEI
sUAS
surface areas
SWAT
Tarim River Basin
temporal resolution
temporal scale
terrestrial LiDAR
Tianjin
Tibetan Plateau
TMPA 3B42-V7
total water storage change
TRMM
uncertainty
unmanned aerial system
variability
vegetation greening
VIP-RS model
viticulture
volume variations
water balance
water levels
water resources management
watershed
WRF
WRFDA
Yangtze River
Yellow River Basin
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 online resource (337 p.)
Soggetto topico Environmental science, engineering & technology
Soggetto non controllato air temperature
AMSR2
annual cycle parameters
Bayesian Maximum Entropy
BSRN
cloudy sky LST
Copernicus
data fusion
daytime LST
DEM
disaggregation
downscaling
Downscaling
drones
emissivity box method
evapotranspiration
field-scale
Fourier transform infrared spectrometer
GK2A
Himalaya
hyperspectral thermal infrared
interpolation
land surface emissivity
land surface emissivity (LSE)
land surface temperature
land surface temperature (LST)
Land Surface Temperature (LST)
Landsat
Landsat 8
LSA-SAF
LST
LST from GOES satellites
machine-learning
measurement uncertainties
MODIS
mono window algorithm
n/a
nighttime LST
noise
physical model
portable spectrometer
radiative transfer equation
random forest
satellite retrievals of LST
sensitivity analysis
Sentinel 2
Sentinel-2
Sentinel-3
single channel algorithm
single-channel algorithm
spatial averaging biases
spectral smoothness
split window algorithm
split-window algorithm
split-window method
stray light correction
SURFRAD data
temperature-emissivity separation
thermal
thermal infrared
thermal remote sensing
TIRS
topography
unmanned aerial vehicles
validation
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