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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 . 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
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 9783038972716
3038972711
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 9783038972778
3038972770
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 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