Land surface remote sensing in urban and coastal areas /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Baghdadi, Nicolas (Autor), Zribi, Mehrez (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : ISTE, 2016.
Colección:Remote sensing observations of continental surfaces set.
Temas:
Coasts > Remote sensing.
Cities and towns > Remote sensing.
Littoral > T�el�ed�etection.
Villes > T�el�ed�etection.
SCIENCE > Earth Sciences > Geography.
SCIENCE > Earth Sciences > Geology.
Cities and towns > Remote sensing
Coasts > Remote sensing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Ch. 1 Optical Remote Sensing in Urban Environments / Christiane Weber
  • 1.1. Introduction
  • 1.1.1. The urban system
  • 1.1.2. The urban environment
  • 1.1.3. The main characteristics of the urban environment: geometric, spectral and temporal
  • 1.1.4. Optical properties of urban materials
  • 1.1.5. Spectral characteristics
  • 1.2. Main applications of optical remote sensing in urban environments
  • 1.2.1. The use of very high spatial resolution multispectral imaging (VHR) for urban mapping and planning
  • 1.2.2. Biodiversity (blue belt and green belt) and vegetation detection in cities
  • 1.2.3. Urban heat islands
  • 1.3. Conclusions and prospects
  • 1.4. Key points
  • 1.5. Bibliography
  • ch. 2 Urban Scene Analysis with Mobile Mapping Technology / Clement Mallet
  • 2.1. Introduction
  • 2.2. Data acquisition
  • 2.2.1. Sensors onboard a mobile mapping system
  • 2.2.2. Integrating sensors
  • 2.2.3. Geometric calibration
  • 2.2.4. Specificities of MMT data
  • 2.3. Data registration and georeferencing
  • 2.3.1. Characteristics of the registration procedure
  • 2.3.2. Deformation models
  • 2.3.3. Pairing methods
  • 2.3.4. Pose estimation
  • 2.4. Analyzing urban scenes
  • 2.4.1. Local descriptors
  • 2.4.2. Segmentation and classification of 3D point clouds
  • 2.4.3. Object recognition
  • 2.4.4. Reconstruction
  • 2.4.5. Texturing
  • 2.4.6. 3D change detection
  • 2.5. Prospects
  • 2.5.1. Uncertainty Management
  • 2.5.2. Image/laser fusion
  • 2.5.3. Semantization as segmentation/classification coupling
  • 2.5.4. Surface reconstruction and semantization coupling
  • 2.5.5. Fusion of aerial and terrestrial data
  • 2.6. Key points
  • 2.7. Bibliography
  • ch. 3 Satellite Imagery: a Tool for Territorial Development / Pierre Maurel
  • 3.1. Introduction
  • 3.2. Sustainable territorial development, decision-making and information
  • 3.2.1. Regional policies
  • 3.2.2. Territorial development process
  • 3.2.3. Territorial socio-technical dispositive/apparatus of information and communication
  • 3.2.4. Functions supporting the territorial decision process
  • 3.3. Spatial representations derived from remote sensing
  • 3.4. STICA based on spatial representations at the service of integrated land management
  • 3.4.1. Thau territory and the challenge of urban sprawl
  • 3.4.2. Use of spatial information for land management in Madagascar
  • 3.5. Conclusions
  • 3.6. Key points
  • 3.7. Bibliography
  • ch. 4 Remote Sensing and Ocean Color / Tristan Harmel
  • 4.1. Introduction
  • 4.2. Radiation components received by an observation satellite of the ocean color
  • 4.3. Correction of atmospheric effects from satellite images
  • 4.3.1. Cloud masking
  • 4.3.2. Eliminating sun reflection from the sea (LG)
  • 4.3.3. Estimation of the radiance linked to molecules (LRayleigh) and aerosols (Laerosol)
  • 4.3.4. Estimation of Tatm and Tgas transmittances
  • 4.3.5. Estimation of the water-leaving radiance Lw
  • 4.4. Bio-optical properties of seawater
  • 4.4.1. Optical properties of water molecules
  • 4.4.2. Optical properties of phytoplankton
  • 4.4.3. Optical properties of colored dissolved organic matter
  • 4.4.4. Optical properties of the detrital organic matter
  • 4.4.5. Optical properties of mineral matters
  • 4.4.6. Additivity of optical properties
  • 4.4.7. Definition of the radiometric values used in remote sensing
  • 4.5. Determination principle of hydrosol concentrations by satellite
  • 4.5.1. Spectral variation of the reflectance according to chlorophyll a
  • 4.5.2. Estimation of the concentration in Chl-a
  • 4.6. Examples of ocean color satellite sensors
  • 4.7. Some applications of ocean color remote sensing
  • 4.7.1. Detection of phytoplanktonic proliferations
  • 4.7.2. Estimation of the phytoplankton functional types by satellite
  • 4.7.3. Estimation of oceanic primary production
  • 4.8. Prospects
  • 4.9. Key points
  • 4.10. List of acronyms
  • 4.11. Bibliography
  • ch. 5 LiDAR Measurements and Applications in Coastal and Continental Waters / Nicolas Baghdadi
  • 5.1. Introduction: history and typology of LiDARs applied to aquatic environments
  • 5.2. Equations and parameters of LiDAR systems applied to aquatic environments
  • 5.2.1. Water surface return
  • 5.2.2. Water column return
  • 5.2.3. Water Bottom return
  • 5.3. LiDAR acquisitions systems
  • 5.3.1. Airborne LiDAR Bathymeter (ALB) systems
  • 5.3.2. Oceanographic LiDAR systems
  • 5.3.3. Spaceborne LiDAR systems in oceanography
  • 5.4. Optical variables derived from LiDAR waveforms
  • 5.4.1. Bathymetry
  • 5.4.2. Water and bottom optical properties
  • 5.5. Case studies of airborne LiDAR applications in hydrography and oceanography
  • 5.5.1. Examples in coastal waters
  • 5.5.2. Examples in coastal oceanography
  • 5.5.3. Examples in continental waters
  • 5.6. Prospectives of spaceborne LiDAR mapping of aquatic environments
  • 5.7. Key points
  • 5.8. Bibliography
  • ch. 6 Contributions of Airborne Topographic LiDAR to the Study of Coastal Systems / Emilie Poullain
  • 6.1. Introduction
  • 6.2. Characterization of coastal evolution
  • 6.2.1. Identification of coastlines for the study of kinematics on open coasts
  • 6.2.2. Potential of airborne LiDAR for morphodynamic monitoring and the calculation of sedimentary budgets
  • 6.3. Method of identifying the main channels in Mont Saint Michel bay combining topography and LiDAR intensity
  • 6.3.1. Hypotheses selected for the extraction of channels
  • 6.3.2. Description of data
  • 6.3.3. Description of the processing workflow of the channel extraction
  • 6.3.4. Results and discussion
  • 6.4. Backscattered signal intensity applications
  • 6.4.1. Modeling of the backscattered intensity as a function of the incidence angle
  • 6.4.2. Characterization of scanned surfaces
  • 6.4.3. Anisotropic surface detection by texture analysis
  • 6.5. Quantification of the sandy surface moisture of Ls
  • 6.6. Prospects
  • 6.7. Key points
  • 6.8. Bibliography
  • ch. 7 Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing / Jean-Philippe Gastellu-Etchegorry
  • 7.1. Introduction
  • 7.2. Dynamics of mangrove forests
  • 7.2.1. General context
  • 7.2.2. The case of Guianese mangrove forests
  • 7.2.3. Modeling forest dynamics in mangrove forests
  • 7.2.4. Research concerns in VHR optical remote sensing of mangrove forests
  • 7.3. Methods
  • 7.3.1. Field experiments
  • 7.3.2. Modeling 3D radiative transfer with DART
  • 7.4. Application to the monitoring of Guianese mangrove forest dynamics
  • 7.4.1. Principles, potential and limits of the FOTO method
  • 7.4.2. Potential and limits of simulated images
  • 7.5. Conclusion and prospects
  • 7.6. Key points
  • 7.7. Bibliography
  • ch. 8 Remote Sensing-based Monitoring of the Muddy Mangrove Coastline of French Guiana / Edward J. Anthony
  • 8.1. Introduction
  • 8.1.1. The state of mangrove coastlines: information derived from remote sensing
  • 8.1.2. The Guianas' mangrove coastline: a challenge for coastal applications of remote sensing
  • 8.1.3. Chapter outline
  • 8.2. Monitoring coastal water color with remote sensing
  • 8.2.1. The concentration of phytoplankton and the biogeochemical composition of coastal waters
  • 8.2.2. Water color as an indicator of sediment dynamics
  • 8.2.3. Estimating the concentration of SPM using remote sensing
  • 8.2.4. Satellites used to study water color
  • 8.3. Remote sensing of coastal mud banks
  • 8.3.1. Problem of delineation of mud banks linked to tides
  • 8.3.2. Monitoring the migration of mud banks
  • 8.3.3. Radar remote sensing of mud banks
  • 8.4. Monitoring the shoreline with remote sensing
  • 8.4.1. The shoreline: definition and issues posed by a multi-faceted feature
  • 8.4.2. Exceptional dynamics of the Guianas' coastline
  • 8.5. Intertidal topography
  • 8.5.1. Ground surveys using a laser tacheometer or differential GPS
  • 8.5.2. Interpolation of water level isolines on satellite images
  • 8.5.3. Airborne LiDAR
  • 8.5.4. Photogrammetry
  • 8.6. Conclusion
  • 8.7. Key points
  • 8.8. Bibliography.

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