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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
Genetics and Improvement of Forest Trees
Genetics and Improvement of Forest Trees
Autore Ide Yuji
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (328 p.)
Soggetto topico Research & information: general
Soggetto non controllato early selection
stomatal characteristics
water stress
water relations
specific leaf area
Eucalyptus clones
LTR-retrotransposon
Ty3-gypsy
Ty1-copia
IRAP
molecular markers
bamboo
Phyllostachys
genetic diversity
populations structure
AMOVA
central-marginal hypothesis
cline
Pinaceae
trailing edge population
Sakhalin fir
sub-boreal forest
gibberellin
male strobilus induction
transcriptome
conifer
Cryptomeria japonica
linkage map
male sterility
marker-assisted selection
C. fortunei
differentially expressed genes
phenylpropanoid metabolism
candidate genes
Camellia oleifera
leaf senescence
transcriptome analysis
senescence-associated genes
physiological characterization
cpDNA
next generation sequencing
northern limit
nucleotide diversity
phylogeny
In/Del
SNP
SSR
Chinese fir
heartwood
secondary metabolites
widely targeted metabolomics
flavonoids
amplicon sequencing
AmpliSeq
genomic selection
Japanese cedar (Cryptomeria japonica)
multiplexed SNP genotyping
spatial autocorrelation error
pine wood disease
resistance to pine wood nematode
inoculation test
multisite
cumulative temperature
Pinus thunbergii
Thujopsis dolabrata
EST-SSR markers
varieties
population structure
pine wilt disease
Bursaphelenchus xylophilus
genotype by environment interaction
Japanese black pine
variance component
local adaptation
silviculture
seed zone
tree improvement program
breeding
genotype × environment interaction
mast seeding
seed production
thinning
forest tree breeding
high-throughput phenotyping
epigenetics
genotyping
genomic prediction models
quantitative trait locus
breeding cycle
Cryptomeria japonica var. sinensis
demographic history
RAD-seq
ancient tree
conservation
infrared thermography
chlorophyll fluorescence
cumulative drought stress
genetic conservation
genetic management
pine wood nematode
pine wood nematode-Pinus thunbergii resistant trees
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557345103321
Ide Yuji  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui