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Global LAnd Surface Satellite (GLASS) Products : Algorithms, Validation and Analysis / / by Shunlin Liang, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, Xiang Zhao
Global LAnd Surface Satellite (GLASS) Products : Algorithms, Validation and Analysis / / by Shunlin Liang, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, Xiang Zhao
Autore Liang Shunlin
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (171 p.)
Disciplina 628
Collana SpringerBriefs in Earth Sciences
Soggetto topico Remote sensing
Physical geography
Environmental sciences
Remote Sensing/Photogrammetry
Physical Geography
Environmental Science and Engineering
ISBN 3-319-02588-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Leaf Area Index -- Shortwave Albedo -- Longwave Emissivity -- Incident Shortwave Radiation -- Incident Photosynthetic Active Radiation -- Challenges and prospects.
Record Nr. UNINA-9910298362703321
Liang Shunlin  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang
Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang
Autore Liang Shunlin
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2004
Descrizione fisica 1 online resource (562 p.)
Disciplina 550.287
550/.28/7
624.151
Collana Wiley series in remote sensing
Soggetto topico Earth sciences - Remote sensing
Environmental sciences - Remote sensing
Remote sensing
Soggetto genere / forma Electronic books.
ISBN 1-280-25291-X
9786610252916
0-470-34800-3
0-471-72371-1
0-471-72372-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto QUANTITATIVE REMOTE SENSING OF LAND SURFACES; Contents; Preface; Acronyms; CHAPTER 1 Introduction; 1.1 Quantitative Models in Optical Remote Sensing; 1.2 Basic Concepts; 1.2.1 Digital Numbers; 1.2.2 Radiance; 1.2.3 Solid Angle; 1.2.4 lrradiance; 1.2.5 Bidirectional Reflectances and Albedos; 1.2.6 Extraterrestrial Solar lrradiance; 1.3 Remote Sensing Modeling System; 1.3.1 Scene Generation; 1.3.2 Scene Radiation Modeling; 1.3.3 Atmospheric Radiative Transfer Modeling; 1.3.4 Navigation Modeling; 1.3.5 Sensor Modeling; 1.3.5.1 Spectral Response; 1.3.5.2 Spatial Response
1.3.6 Mapping and Binning1.4 Summary; References; CHAPTER 2 Atmospheric Shortwave Radiative Transfer Modeling; 2.1 Radiative Transfer Equation .; 2.2 Surface Statistical BRDF Models; 2.2.1 Minnaert Function; 2.2.2 Lommel-Seeliger Function; 2.2.3 Walthall Function; 2.2.4 Staylor-Suttles Function; 2.2.5 Rahman Function; 2.2.6 Kernel Functions; 2.3 Atmospheric Optical Properties; 2.3.1 Rayleigh Scattering; 2.3.2 Mie Scattering; 2.3.3 Aerosol Particle Size Distributions; 2.3.4 Gas Absorption; 2.3.5 Aerosol Climatology; 2.4 Solving Radiative Transfer Equations; 2.4.1 Radiation Field Decomposition
2.4.2 Numerical Solutions2.4.2.1 Method of Successive Orders of Scattering; 2.4.2.2 Method of Discrete Ordinates; 2.4.3 Approximate Solutions: Two-Stream Algorithms; 2.4.4 Representative Radiative Transfer Solvers (Software Packages); 2.5 Approximate Representation for Incorporating Surface BRDF; 2.6 Summary; References; CHAPTER 3 Canopy Reflectance Modeling; 3.1 Canopy Radiative Transfer Formulation; 3.1.1 Canopy Configuration; 3.1.2 One-Dimensional Radiative Transfer Formulation; 3.1.3 Boundary Conditions; 3.1.4 Hotspot Effects; 3.1.5 Formulations for Heterogeneous Canopies
3.2 Leaf Optical Models3.2.1 "Plate" Models; 3.2.2 Needleleaf Models; 3.2.3 Ray Tracing Models; 3.2.4 Stochastic Models; 3.2.5 Turbid Medium Models; 3.3 Solving Radiative Transfer Equations; 3.3.1 Approximate Solutions; 3.3.1.1 Models Based on KM Theory; 3.3.1.2 Decomposition of the Canopy Radiation Field; 3.3.1.3 Approximation of Multiple Scattering; 3.3.2 Numerical Solutions: Gauss-Seidel Algorithm; 3.4 Geometric Optical Models; 3.5 Computer Simulation Models; 3.5.1 Monte Carlo Ray Tracing Models; 3.5.1.1 Forward and Reverse Ray Tracing; 3.5.1.2 Canopy Scene Generation
3.5.1.3 A Forest Ray Tracing Algorithm3.5.1.4 Botanical Plant Modeling System Model; 3.5.1.5 SPRINT Model; 3.5.2 Radiosity Models; 3.5.2.1 Generating the 3D Scene; 3.5.2.2 Calculating the Emission for All Surfaces in the Scene; 3.5.2.3 Computing the View Factors; 3.5.2.4 Solving the Radiosity Equation; 3.5.2.5 Rendering the Scene for a Given Viewpoint and Calculating BRF; 3.5.2.6 Applications; 3.6 Summary; References; CHAPTER 4 Soil and Snow Reflectance Modeling; 4.1 Single Scattering Properties of Snow and Soil; 4.1.1 Optical Properties of Snow; 4.1.2 Optical Properties of Soils
4.2 Multiple Scattering Solutions for Angular Reflectance from Snow and Soil
Record Nr. UNINA-9910146075803321
Liang Shunlin  
Hoboken, N.J., : Wiley-Interscience, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang
Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang
Autore Liang Shunlin
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2004
Descrizione fisica 1 online resource (562 p.)
Disciplina 550.287
550/.28/7
624.151
Collana Wiley series in remote sensing
Soggetto topico Earth sciences - Remote sensing
Environmental sciences - Remote sensing
Remote sensing
ISBN 1-280-25291-X
9786610252916
0-470-34800-3
0-471-72371-1
0-471-72372-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto QUANTITATIVE REMOTE SENSING OF LAND SURFACES; Contents; Preface; Acronyms; CHAPTER 1 Introduction; 1.1 Quantitative Models in Optical Remote Sensing; 1.2 Basic Concepts; 1.2.1 Digital Numbers; 1.2.2 Radiance; 1.2.3 Solid Angle; 1.2.4 lrradiance; 1.2.5 Bidirectional Reflectances and Albedos; 1.2.6 Extraterrestrial Solar lrradiance; 1.3 Remote Sensing Modeling System; 1.3.1 Scene Generation; 1.3.2 Scene Radiation Modeling; 1.3.3 Atmospheric Radiative Transfer Modeling; 1.3.4 Navigation Modeling; 1.3.5 Sensor Modeling; 1.3.5.1 Spectral Response; 1.3.5.2 Spatial Response
1.3.6 Mapping and Binning1.4 Summary; References; CHAPTER 2 Atmospheric Shortwave Radiative Transfer Modeling; 2.1 Radiative Transfer Equation .; 2.2 Surface Statistical BRDF Models; 2.2.1 Minnaert Function; 2.2.2 Lommel-Seeliger Function; 2.2.3 Walthall Function; 2.2.4 Staylor-Suttles Function; 2.2.5 Rahman Function; 2.2.6 Kernel Functions; 2.3 Atmospheric Optical Properties; 2.3.1 Rayleigh Scattering; 2.3.2 Mie Scattering; 2.3.3 Aerosol Particle Size Distributions; 2.3.4 Gas Absorption; 2.3.5 Aerosol Climatology; 2.4 Solving Radiative Transfer Equations; 2.4.1 Radiation Field Decomposition
2.4.2 Numerical Solutions2.4.2.1 Method of Successive Orders of Scattering; 2.4.2.2 Method of Discrete Ordinates; 2.4.3 Approximate Solutions: Two-Stream Algorithms; 2.4.4 Representative Radiative Transfer Solvers (Software Packages); 2.5 Approximate Representation for Incorporating Surface BRDF; 2.6 Summary; References; CHAPTER 3 Canopy Reflectance Modeling; 3.1 Canopy Radiative Transfer Formulation; 3.1.1 Canopy Configuration; 3.1.2 One-Dimensional Radiative Transfer Formulation; 3.1.3 Boundary Conditions; 3.1.4 Hotspot Effects; 3.1.5 Formulations for Heterogeneous Canopies
3.2 Leaf Optical Models3.2.1 "Plate" Models; 3.2.2 Needleleaf Models; 3.2.3 Ray Tracing Models; 3.2.4 Stochastic Models; 3.2.5 Turbid Medium Models; 3.3 Solving Radiative Transfer Equations; 3.3.1 Approximate Solutions; 3.3.1.1 Models Based on KM Theory; 3.3.1.2 Decomposition of the Canopy Radiation Field; 3.3.1.3 Approximation of Multiple Scattering; 3.3.2 Numerical Solutions: Gauss-Seidel Algorithm; 3.4 Geometric Optical Models; 3.5 Computer Simulation Models; 3.5.1 Monte Carlo Ray Tracing Models; 3.5.1.1 Forward and Reverse Ray Tracing; 3.5.1.2 Canopy Scene Generation
3.5.1.3 A Forest Ray Tracing Algorithm3.5.1.4 Botanical Plant Modeling System Model; 3.5.1.5 SPRINT Model; 3.5.2 Radiosity Models; 3.5.2.1 Generating the 3D Scene; 3.5.2.2 Calculating the Emission for All Surfaces in the Scene; 3.5.2.3 Computing the View Factors; 3.5.2.4 Solving the Radiosity Equation; 3.5.2.5 Rendering the Scene for a Given Viewpoint and Calculating BRF; 3.5.2.6 Applications; 3.6 Summary; References; CHAPTER 4 Soil and Snow Reflectance Modeling; 4.1 Single Scattering Properties of Snow and Soil; 4.1.1 Optical Properties of Snow; 4.1.2 Optical Properties of Soils
4.2 Multiple Scattering Solutions for Angular Reflectance from Snow and Soil
Record Nr. UNINA-9910831060403321
Liang Shunlin  
Hoboken, N.J., : Wiley-Interscience, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang
Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang
Autore Liang Shunlin
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2004
Descrizione fisica 1 online resource (562 p.)
Disciplina 550.287
550/.28/7
624.151
Collana Wiley series in remote sensing
Soggetto topico Earth sciences - Remote sensing
Environmental sciences - Remote sensing
Remote sensing
ISBN 1-280-25291-X
9786610252916
0-470-34800-3
0-471-72371-1
0-471-72372-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto QUANTITATIVE REMOTE SENSING OF LAND SURFACES; Contents; Preface; Acronyms; CHAPTER 1 Introduction; 1.1 Quantitative Models in Optical Remote Sensing; 1.2 Basic Concepts; 1.2.1 Digital Numbers; 1.2.2 Radiance; 1.2.3 Solid Angle; 1.2.4 lrradiance; 1.2.5 Bidirectional Reflectances and Albedos; 1.2.6 Extraterrestrial Solar lrradiance; 1.3 Remote Sensing Modeling System; 1.3.1 Scene Generation; 1.3.2 Scene Radiation Modeling; 1.3.3 Atmospheric Radiative Transfer Modeling; 1.3.4 Navigation Modeling; 1.3.5 Sensor Modeling; 1.3.5.1 Spectral Response; 1.3.5.2 Spatial Response
1.3.6 Mapping and Binning1.4 Summary; References; CHAPTER 2 Atmospheric Shortwave Radiative Transfer Modeling; 2.1 Radiative Transfer Equation .; 2.2 Surface Statistical BRDF Models; 2.2.1 Minnaert Function; 2.2.2 Lommel-Seeliger Function; 2.2.3 Walthall Function; 2.2.4 Staylor-Suttles Function; 2.2.5 Rahman Function; 2.2.6 Kernel Functions; 2.3 Atmospheric Optical Properties; 2.3.1 Rayleigh Scattering; 2.3.2 Mie Scattering; 2.3.3 Aerosol Particle Size Distributions; 2.3.4 Gas Absorption; 2.3.5 Aerosol Climatology; 2.4 Solving Radiative Transfer Equations; 2.4.1 Radiation Field Decomposition
2.4.2 Numerical Solutions2.4.2.1 Method of Successive Orders of Scattering; 2.4.2.2 Method of Discrete Ordinates; 2.4.3 Approximate Solutions: Two-Stream Algorithms; 2.4.4 Representative Radiative Transfer Solvers (Software Packages); 2.5 Approximate Representation for Incorporating Surface BRDF; 2.6 Summary; References; CHAPTER 3 Canopy Reflectance Modeling; 3.1 Canopy Radiative Transfer Formulation; 3.1.1 Canopy Configuration; 3.1.2 One-Dimensional Radiative Transfer Formulation; 3.1.3 Boundary Conditions; 3.1.4 Hotspot Effects; 3.1.5 Formulations for Heterogeneous Canopies
3.2 Leaf Optical Models3.2.1 "Plate" Models; 3.2.2 Needleleaf Models; 3.2.3 Ray Tracing Models; 3.2.4 Stochastic Models; 3.2.5 Turbid Medium Models; 3.3 Solving Radiative Transfer Equations; 3.3.1 Approximate Solutions; 3.3.1.1 Models Based on KM Theory; 3.3.1.2 Decomposition of the Canopy Radiation Field; 3.3.1.3 Approximation of Multiple Scattering; 3.3.2 Numerical Solutions: Gauss-Seidel Algorithm; 3.4 Geometric Optical Models; 3.5 Computer Simulation Models; 3.5.1 Monte Carlo Ray Tracing Models; 3.5.1.1 Forward and Reverse Ray Tracing; 3.5.1.2 Canopy Scene Generation
3.5.1.3 A Forest Ray Tracing Algorithm3.5.1.4 Botanical Plant Modeling System Model; 3.5.1.5 SPRINT Model; 3.5.2 Radiosity Models; 3.5.2.1 Generating the 3D Scene; 3.5.2.2 Calculating the Emission for All Surfaces in the Scene; 3.5.2.3 Computing the View Factors; 3.5.2.4 Solving the Radiosity Equation; 3.5.2.5 Rendering the Scene for a Given Viewpoint and Calculating BRF; 3.5.2.6 Applications; 3.6 Summary; References; CHAPTER 4 Soil and Snow Reflectance Modeling; 4.1 Single Scattering Properties of Snow and Soil; 4.1.1 Optical Properties of Snow; 4.1.2 Optical Properties of Soils
4.2 Multiple Scattering Solutions for Angular Reflectance from Snow and Soil
Record Nr. UNINA-9910841324003321
Liang Shunlin  
Hoboken, N.J., : Wiley-Interscience, c2004
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