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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
Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications / Fatima Karbou, Vanessa M. Escobar, Gianpaolo Balsamo, Benjamin Ruston
Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications / Fatima Karbou, Vanessa M. Escobar, Gianpaolo Balsamo, Benjamin Ruston
Autore Karbou Fatima
Pubbl/distr/stampa Basel, Switzerland : , : MDPI, , 2019
Descrizione fisica 1 electronic resource (262 pages)
Soggetto non controllato direct and inverse methods
absorption coefficient
emissivity
land-surface model
variational retrieval
temporal autocorrelation
Bayesian bias correction
hyperspectral
infrared
BRDF
satellite rainfall
MCD43C1
penetration depth
RTTOV
earth-observations
earth system modelling
representative depth
land
Changjiang (Yangtze) estuary
CDOM
soil moisture
surface
Maqu network
surface soil moisture
MODIS
soil effective temperature
GOCI
microwave remote sensing
rain gauge
QAA inversion
broadband emissivity
radiation
surface parameters
satellite data
East Africa
ISBN 9783039210657
3039210653
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367566003321
Karbou Fatima  
Basel, Switzerland : , : MDPI, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hyperspectral Remote Sensing of Agriculture and Vegetation
Hyperspectral Remote Sensing of Agriculture and Vegetation
Autore Pascucci Simone
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (266 p.)
Soggetto topico Research & information: general
Environmental economics
Soggetto non controllato hyperspectral LiDAR
Red Edge
AOTF
vegetation parameters
leaf chlorophyll content
DLARI
MDATT
adaxial
abaxial
spectral reflectance
peanut
field spectroscopy
hyperspectral
heavy metals
grapevine
PLS
SVM
MLR
multi-angle observation
hyperspectral remote sensing
BRDF
vegetation classification
object-oriented segmentation
spectroscopy
artificial intelligence
proximal sensing data
precision agriculture
spectra
vegetation
plant
classification
discrimination
feature selection
waveband selection
support vector machine
random forest
Natura 2000
invasive species
expansive species
biodiversity
proximal sensor
macronutrient
micronutrient
remote sensing
hyperspectral imaging
platforms and sensors
analytical methods
crop properties
soil characteristics
classification of agricultural features
canopy spectra
chlorophyll content
continuous wavelet transform (CWT)
correlation coefficient
partial least square regression (PLSR)
reproducibility
replicability
partial least squares
Ethiopia
Eragrostis tef
hyperspectral remote sensing for soil and crops in agriculture
hyperspectral imaging for vegetation
plant traits
high-resolution spectroscopy for agricultural soils and vegetation
hyperspectral databases for agricultural soils and vegetation
hyperspectral data as input for modelling soil, crop, and vegetation
product validation
new hyperspectral technologies
future hyperspectral missions
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557691803321
Pascucci Simone  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remotely Sensed Albedo
Remotely Sensed Albedo
Autore Liang Shunlin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (250 p.)
Soggetto topico Research & information: general
Environmental economics
Soggetto non controllato surface albedo
urbanization
vegetation variation
climate change
DMSP
albedo
land use
remote sensing
Unmanned Aerial Vehicles
vegetation indices
snow
climate
Unmanned Aerial Vehicle (UAV)
landscape
consumer-grade camera
radiometric calibration
sea ice
VIIRS
Arctic
PROMICE
GC-NET
validation
AVHRR
BRDF
MODIS
VJB
LTDR
directional correction
spatial representativeness
semivariogram
Landsat
HLS
Sentinel 2
SURFRAD
OzFlux
directional hemispherical reflectance
bi-hemispherical reflectance
tower albedometer
CGLS
MISR
upscaling
bare soil albedo
MODIS albedo
contiguous United States
soil line
Landsat albedo
soil moisture
land surface albedo
time series
high spatio-temporal resolution
EnKF
spectral unmixing
empirical modeling
linear endmember
forest cover
forest management
forest structure
BRDF/Albedo
NDSI Snow Cover
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557135603321
Liang Shunlin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Snow Optics / Alexander Kokhanovsky
Snow Optics / Alexander Kokhanovsky
Autore Kokhanovsky, Alexander
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica x, 161 p. : ill. ; 24 cm
Soggetto topico 00A79 (77-XX) - Physics [MSC 2020]
78A60 - Lasers, masers, optical bistability, nonlinear optics [MSC 2020]
86A08 - Climate science and climate modeling [MSC 2020]
Soggetto non controllato BRDF
Broadband Albedo
Light scattering
Radiative transfer
Remote sensing/photogrammetry
Snow
Snow Albedo
Snow Extent
Snow Grain Size
Snow Impurities
Snow Reflectance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00282806
Kokhanovsky, Alexander  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui