Online resource; title from PDF title page (EBSCO, viewed October 28, 2016).

Includes bibliographical references and index.

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.