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3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
Autore Latifi Hooman
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (188 p.)
Soggetto topico Biology, life sciences
Soggetto non controllato 3D
3D remote sensing
allometric scaling and resource limitation model
codispersion coefficient
codispersion map
composition
crowdsourced data
diameter at breast height (DBH)
digital photogrammetry
DSM
forest canopy height
forest ecology
forest fire
Fractional cover analysis
function
google earth engine
Google Street View
ground validation
GSV
habitat fragmentation
harvester
high-voltage power transmission lines
imputation
interrater agreement
kriging
Landsat 8
landscape fragmentation
Lantana camara
laser
maximum forest heights
measurement error
metabolic scale theory
missing observations
mountainous areas
multi-spectral
municipal forestry
normalized difference vegetation index (NDVI)
Norway spruce
nu SVR
optimization
point cloud
polarimetery
product recovery
random Hough transform
RapidEye
spatial noise
species identification
SPOT-6
SRTMGL1
street trees
structure
stump diameter
stump height
terrestrial laser scanner
terrestrial laser scanning
tree height
tree measurement
uneven-aged mountainous
urban ecology
urban forestry
ZiYuan-3 stereo images
ISBN 3-03921-783-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 3D Remote Sensing Applications in Forest Ecology
Record Nr. UNINA-9910367744003321
Latifi Hooman  
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