10681cam a2200529Ii 4500 ocn959150499 OCoLC 20190328114816.0 m o d cr cnu---unuuu 160924s2016 enk ob 001 0 eng d EBLCP eng pn EBLCP YDX N$T IDEBK OPELS OCLCQ N$T OCLCF VGM OCLCQ U3W MERUC EZ9 WYU OCLCQ OCLCO 959040757 959274334 960833779 1066447436 9780081017678 (electronic bk.) 0081017677 (electronic bk.) 9781785481604 1785481606 (OCoLC)959150499 (OCoLC)959040757 (OCoLC)959274334 (OCoLC)960833779 (OCoLC)1066447436 GB451.2 SCI 030000 bisacsh SCI 031000 bisacsh 551.45/70285 23 Baghdadi, Nicolas, author. Land surface remote sensing in urban and coastal areas / [electronic resource] Nicolas Baghdadi, Mehrez Zribi. London : ISTE, 2016. 1 online resource (394 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Remote sensing observations of continental surfaces set 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. Coasts Remote sensing. Cities and towns Remote sensing. SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Cities and towns Remote sensing. fast (OCoLC)fst00861836 Coasts Remote sensing. fast (OCoLC)fst00865820 Electronic books. Electronic book. Zribi, Mehrez, author. Print version: Baghdadi, Nicolas. Land surface remote sensing in urban and coastal areas. London, England ; Oxford, England : ISTE Press : Elsevier, �2016 xlii, 350 pages Remote sensing observations of continental surfaces set. 9781785481604 Remote sensing observations of continental surfaces set. ScienceDirect http://www.sciencedirect.com/science/book/9781785481604 247428 247428