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Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang
Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, 2012
Descrizione fisica 1 online resource (821 p.)
Disciplina 621.36/78
Altri autori (Persone) LiangShunlin
LiXiaowen <1969->
WangJindi
Soggetto topico Earth sciences - Remote sensing
Environmental sciences - Remote sensing
Remote sensing
Soggetto genere / forma Electronic books.
ISBN 1-280-98323-X
9786613754844
0-12-385955-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: 1. A Systematic View of Remote Sensing 2. Geometric Processing and Positioning Techniques 3. Compositing, Smoothing and Gap-filling Techniques 4. Data Fusion 5. Atmospheric Correction of Optical Imagery 6. Solar Radiation 7. Broadband Albedo 8. Land Surface Temperature and Thermal Infrared Emissivity 9. Surface Longwave Radiation Budget 10. Canopy Biochemical Characteristics 11. Leaf Area Index 12. Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation 13. Fractional Vegetation Cover 14. Vegetation Height and Vertical Structure 15. Above-ground Biomass 16. Vegetation production in terrestrial ecosystems 17. Precipitation 18. Terrestrial Evapotranspiration 19. Soil Moisture 20. Snow Water Equivalence 21. Water Storage 22. High-level Land Product Integration Methods 23. Product and Data Management Systems 24. Land Cover and Land Use Changes.
Record Nr. UNINA-9910462479503321
Amsterdam ; ; Boston, : Academic Press, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang
Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, 2012
Descrizione fisica 1 online resource (821 p.)
Disciplina 621.36/78
Altri autori (Persone) LiangShunlin
LiXiaowen <1969->
WangJindi
Soggetto topico Earth sciences - Remote sensing
Environmental sciences - Remote sensing
Remote sensing
ISBN 1-280-98323-X
9786613754844
0-12-385955-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: 1. A Systematic View of Remote Sensing 2. Geometric Processing and Positioning Techniques 3. Compositing, Smoothing and Gap-filling Techniques 4. Data Fusion 5. Atmospheric Correction of Optical Imagery 6. Solar Radiation 7. Broadband Albedo 8. Land Surface Temperature and Thermal Infrared Emissivity 9. Surface Longwave Radiation Budget 10. Canopy Biochemical Characteristics 11. Leaf Area Index 12. Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation 13. Fractional Vegetation Cover 14. Vegetation Height and Vertical Structure 15. Above-ground Biomass 16. Vegetation production in terrestrial ecosystems 17. Precipitation 18. Terrestrial Evapotranspiration 19. Soil Moisture 20. Snow Water Equivalence 21. Water Storage 22. High-level Land Product Integration Methods 23. Product and Data Management Systems 24. Land Cover and Land Use Changes.
Record Nr. UNINA-9910790315503321
Amsterdam ; ; Boston, : Academic Press, 2012
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
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 1 / Jiancheng Shi, Guangjian Yan, Shunlin Liang
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 1 / Jiancheng Shi, Guangjian Yan, Shunlin Liang
Autore Shi Jiancheng
Pubbl/distr/stampa Basel, Switzerland : , : MDPI, , 2019
Descrizione fisica 1 online resource (1 p.)
Soggetto non controllato evapotranspiration; Northeast China; MS-PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient - sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China's; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment
ISBN 3-03897-271-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910765761703321
Shi Jiancheng  
Basel, Switzerland : , : MDPI, , 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 2 / Jiancheng Shi, Guangjian Yan, Shunlin Liang
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 2 / Jiancheng Shi, Guangjian Yan, Shunlin Liang
Autore Shi Jiancheng
Pubbl/distr/stampa Basel, Switzerland : , : MDPI, , 2019
Descrizione fisica 1 online resource (1 p.)
Soggetto non controllato evapotranspiration; Northeast China; MS-PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient - sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China's; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment
ISBN 3-03897-277-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910765784403321
Shi Jiancheng  
Basel, Switzerland : , : MDPI, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Geography of Contemporary China / / by Jing’ai Wang, Shunlin Liang, Peijun Shi
The Geography of Contemporary China / / by Jing’ai Wang, Shunlin Liang, Peijun Shi
Autore Wang Jing'ai
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (466 pages)
Disciplina 304.2
915.1
Collana World Regional Geography Book Series
Soggetto topico Geography
Physical geography
Human geography
Ecology
Asia—Politics and government
Cultural geography
Regional Geography
Physical Geography
Human Geography
Environmental Sciences
Asian Politics
Social and Cultural Geography
ISBN 3-031-04158-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Territory and Geopolitics -- Chapter 3. Topography and Landforms -- Chapter 4. Climate and Climate Change -- Chapter 5. Hydrology and Water Resources -- Chapter 6. Land Cover and Land Use -- Chapter 7. Natural Resources and Energy -- Chapter 8. Land Degradation and Ecological Restoration -- Chapter 9. Environmental Pollution and Protection -- Chapter 10. Natural Disasters -- Chapter 11. Population and Urbanization -- Chapter 12. Economic Geography -- Chapter 13. China’s Opening-up and Trade -- Chapter 14. Tourism Geography -- Chapter 15. Sustainable Development -- Index.
Record Nr. UNINA-9910733726703321
Wang Jing'ai  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
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 online resource (250 p.)
Soggetto topico Environmental economics
Research & information: general
Soggetto non controllato albedo
Arctic
AVHRR
bare soil albedo
bi-hemispherical reflectance
BRDF
BRDF/Albedo
CGLS
climate
climate change
consumer-grade camera
contiguous United States
directional correction
directional hemispherical reflectance
DMSP
empirical modeling
EnKF
forest cover
forest management
forest structure
GC-NET
high spatio-temporal resolution
HLS
land surface albedo
land use
Landsat
Landsat albedo
landscape
linear endmember
LTDR
MISR
MODIS
MODIS albedo
n/a
NDSI Snow Cover
OzFlux
PROMICE
radiometric calibration
remote sensing
sea ice
semivariogram
Sentinel 2
snow
soil line
soil moisture
spatial representativeness
spectral unmixing
surface albedo
SURFRAD
time series
tower albedometer
Unmanned Aerial Vehicle (UAV)
Unmanned Aerial Vehicles
upscaling
urbanization
validation
vegetation indices
vegetation variation
VIIRS
VJB
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