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

MARC

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100 1 |a Baghdadi, Nicolas,  |e author. 
245 1 0 |a Land surface remote sensing in urban and coastal areas /  |c Nicolas Baghdadi, Mehrez Zribi. 
260 |a London :  |b ISTE,  |c 2016. 
300 |a 1 online resource (394 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Remote sensing observations of continental surfaces set 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed October 28, 2016). 
504 |a Includes bibliographical references and index. 
505 0 0 |a Ch. 1  |t Optical Remote Sensing in Urban Environments /  |r Christiane Weber --  |g 1.1.  |t Introduction --  |g 1.1.1.  |t The urban system --  |g 1.1.2.  |t The urban environment --  |g 1.1.3.  |t The main characteristics of the urban environment: geometric, spectral and temporal --  |g 1.1.4.  |t Optical properties of urban materials --  |g 1.1.5.  |t Spectral characteristics --  |g 1.2.  |t Main applications of optical remote sensing in urban environments --  |g 1.2.1.  |t The use of very high spatial resolution multispectral imaging (VHR) for urban mapping and planning --  |g 1.2.2.  |t Biodiversity (blue belt and green belt) and vegetation detection in cities --  |g 1.2.3.  |t Urban heat islands --  |g 1.3.  |t Conclusions and prospects --  |g 1.4.  |t Key points --  |g 1.5.  |t Bibliography --  |g ch. 2  |t Urban Scene Analysis with Mobile Mapping Technology /  |r Clement Mallet --  |g 2.1.  |t Introduction --  |g 2.2.  |t Data acquisition --  |g 2.2.1.  |t Sensors onboard a mobile mapping system --  |g 2.2.2.  |t Integrating sensors --  |g 2.2.3.  |t Geometric calibration --  |g 2.2.4.  |t Specificities of MMT data --  |g 2.3.  |t Data registration and georeferencing --  |g 2.3.1.  |t Characteristics of the registration procedure --  |g 2.3.2.  |t Deformation models --  |g 2.3.3.  |t Pairing methods --  |g 2.3.4.  |t Pose estimation --  |g 2.4.  |t Analyzing urban scenes --  |g 2.4.1.  |t Local descriptors --  |g 2.4.2.  |t Segmentation and classification of 3D point clouds --  |g 2.4.3.  |t Object recognition --  |g 2.4.4.  |t Reconstruction --  |g 2.4.5.  |t Texturing --  |g 2.4.6.  |t 3D change detection --  |g 2.5.  |t Prospects --  |g 2.5.1.  |t Uncertainty Management --  |g 2.5.2.  |t Image/laser fusion --  |g 2.5.3.  |t Semantization as segmentation/classification coupling --  |g 2.5.4.  |t Surface reconstruction and semantization coupling --  |g 2.5.5.  |t Fusion of aerial and terrestrial data --  |g 2.6.  |t Key points --  |g 2.7.  |t Bibliography --  |g ch. 3  |t Satellite Imagery: a Tool for Territorial Development /  |r Pierre Maurel --  |g 3.1.  |t Introduction --  |g 3.2.  |t Sustainable territorial development, decision-making and information --  |g 3.2.1.  |t Regional policies --  |g 3.2.2.  |t Territorial development process --  |g 3.2.3.  |t Territorial socio-technical dispositive/apparatus of information and communication --  |g 3.2.4.  |t Functions supporting the territorial decision process --  |g 3.3.  |t Spatial representations derived from remote sensing --  |g 3.4.  |t STICA based on spatial representations at the service of integrated land management --  |g 3.4.1.  |t Thau territory and the challenge of urban sprawl --  |g 3.4.2.  |t Use of spatial information for land management in Madagascar --  |g 3.5.  |t Conclusions --  |g 3.6.  |t Key points --  |g 3.7.  |t Bibliography --  |g ch. 4  |t Remote Sensing and Ocean Color /  |r Tristan Harmel --  |g 4.1.  |t Introduction --  |g 4.2.  |t Radiation components received by an observation satellite of the ocean color --  |g 4.3.  |t Correction of atmospheric effects from satellite images --  |g 4.3.1.  |t Cloud masking --  |g 4.3.2.  |t Eliminating sun reflection from the sea (LG) --  |g 4.3.3.  |t Estimation of the radiance linked to molecules (LRayleigh) and aerosols (Laerosol) --  |g 4.3.4.  |t Estimation of Tatm and Tgas transmittances --  |g 4.3.5.  |t Estimation of the water-leaving radiance Lw --  |g 4.4.  |t Bio-optical properties of seawater --  |g 4.4.1.  |t Optical properties of water molecules --  |g 4.4.2.  |t Optical properties of phytoplankton --  |g 4.4.3.  |t Optical properties of colored dissolved organic matter --  |g 4.4.4.  |t Optical properties of the detrital organic matter --  |g 4.4.5.  |t Optical properties of mineral matters --  |g 4.4.6.  |t Additivity of optical properties --  |g 4.4.7.  |t Definition of the radiometric values used in remote sensing --  |g 4.5.  |t Determination principle of hydrosol concentrations by satellite --  |g 4.5.1.  |t Spectral variation of the reflectance according to chlorophyll a --  |g 4.5.2.  |t Estimation of the concentration in Chl-a --  |g 4.6.  |t Examples of ocean color satellite sensors --  |g 4.7.  |t Some applications of ocean color remote sensing --  |g 4.7.1.  |t Detection of phytoplanktonic proliferations --  |g 4.7.2.  |t Estimation of the phytoplankton functional types by satellite --  |g 4.7.3.  |t Estimation of oceanic primary production --  |g 4.8.  |t Prospects --  |g 4.9.  |t Key points --  |g 4.10.  |t List of acronyms --  |g 4.11.  |t Bibliography --  |g ch. 5  |t LiDAR Measurements and Applications in Coastal and Continental Waters /  |r Nicolas Baghdadi --  |g 5.1.  |t Introduction: history and typology of LiDARs applied to aquatic environments --  |g 5.2.  |t Equations and parameters of LiDAR systems applied to aquatic environments --  |g 5.2.1.  |t Water surface return --  |g 5.2.2.  |t Water column return --  |g 5.2.3.  |t Water Bottom return --  |g 5.3.  |t LiDAR acquisitions systems --  |g 5.3.1.  |t Airborne LiDAR Bathymeter (ALB) systems --  |g 5.3.2.  |t Oceanographic LiDAR systems --  |g 5.3.3.  |t Spaceborne LiDAR systems in oceanography --  |g 5.4.  |t Optical variables derived from LiDAR waveforms --  |g 5.4.1.  |t Bathymetry --  |g 5.4.2.  |t Water and bottom optical properties --  |g 5.5.  |t Case studies of airborne LiDAR applications in hydrography and oceanography --  |g 5.5.1.  |t Examples in coastal waters --  |g 5.5.2.  |t Examples in coastal oceanography --  |g 5.5.3.  |t Examples in continental waters --  |g 5.6.  |t Prospectives of spaceborne LiDAR mapping of aquatic environments --  |g 5.7.  |t Key points --  |g 5.8.  |t Bibliography --  |g ch. 6  |t Contributions of Airborne Topographic LiDAR to the Study of Coastal Systems /  |r Emilie Poullain --  |g 6.1.  |t Introduction --  |g 6.2.  |t Characterization of coastal evolution --  |g 6.2.1.  |t Identification of coastlines for the study of kinematics on open coasts --  |g 6.2.2.  |t Potential of airborne LiDAR for morphodynamic monitoring and the calculation of sedimentary budgets --  |g 6.3.  |t Method of identifying the main channels in Mont Saint Michel bay combining topography and LiDAR intensity --  |g 6.3.1.  |t Hypotheses selected for the extraction of channels --  |g 6.3.2.  |t Description of data --  |g 6.3.3.  |t Description of the processing workflow of the channel extraction --  |g 6.3.4.  |t Results and discussion --  |g 6.4.  |t Backscattered signal intensity applications --  |g 6.4.1.  |t Modeling of the backscattered intensity as a function of the incidence angle --  |g 6.4.2.  |t Characterization of scanned surfaces --  |g 6.4.3.  |t Anisotropic surface detection by texture analysis --  |g 6.5.  |t Quantification of the sandy surface moisture of Ls --  |g 6.6.  |t Prospects --  |g 6.7.  |t Key points --  |g 6.8.  |t Bibliography --  |g ch. 7  |t Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing /  |r Jean-Philippe Gastellu-Etchegorry --  |g 7.1.  |t Introduction --  |g 7.2.  |t Dynamics of mangrove forests --  |g 7.2.1.  |t General context --  |g 7.2.2.  |t The case of Guianese mangrove forests --  |g 7.2.3.  |t Modeling forest dynamics in mangrove forests --  |g 7.2.4.  |t Research concerns in VHR optical remote sensing of mangrove forests --  |g 7.3.  |t Methods --  |g 7.3.1.  |t Field experiments --  |g 7.3.2.  |t Modeling 3D radiative transfer with DART --  |g 7.4.  |t Application to the monitoring of Guianese mangrove forest dynamics --  |g 7.4.1.  |t Principles, potential and limits of the FOTO method --  |g 7.4.2.  |t Potential and limits of simulated images --  |g 7.5.  |t Conclusion and prospects --  |g 7.6.  |t Key points --  |g 7.7.  |t Bibliography --  |g ch. 8  |t Remote Sensing-based Monitoring of the Muddy Mangrove Coastline of French Guiana /  |r Edward J. Anthony --  |g 8.1.  |t Introduction --  |g 8.1.1.  |t The state of mangrove coastlines: information derived from remote sensing --  |g 8.1.2.  |t The Guianas' mangrove coastline: a challenge for coastal applications of remote sensing --  |g 8.1.3.  |t Chapter outline --  |g 8.2.  |t Monitoring coastal water color with remote sensing --  |g 8.2.1.  |t The concentration of phytoplankton and the biogeochemical composition of coastal waters --  |g 8.2.2.  |t Water color as an indicator of sediment dynamics --  |g 8.2.3.  |t Estimating the concentration of SPM using remote sensing --  |g 8.2.4.  |t Satellites used to study water color --  |g 8.3.  |t Remote sensing of coastal mud banks --  |g 8.3.1.  |t Problem of delineation of mud banks linked to tides --  |g 8.3.2.  |t Monitoring the migration of mud banks --  |g 8.3.3.  |t Radar remote sensing of mud banks --  |g 8.4.  |t Monitoring the shoreline with remote sensing --  |g 8.4.1.  |t The shoreline: definition and issues posed by a multi-faceted feature --  |g 8.4.2.  |t Exceptional dynamics of the Guianas' coastline --  |g 8.5.  |t Intertidal topography --  |g 8.5.1.  |t Ground surveys using a laser tacheometer or differential GPS --  |g 8.5.2.  |t Interpolation of water level isolines on satellite images --  |g 8.5.3.  |t Airborne LiDAR --  |g 8.5.4.  |t Photogrammetry --  |g 8.6.  |t Conclusion --  |g 8.7.  |t Key points --  |g 8.8.  |t Bibliography. 
650 0 |a Coasts  |x Remote sensing. 
650 0 |a Cities and towns  |x Remote sensing. 
650 6 |a Littoral  |0 (CaQQLa)201-0004351  |x T�el�ed�etection.  |0 (CaQQLa)201-0380277 
650 6 |a Villes  |0 (CaQQLa)201-0001590  |x T�el�ed�etection.  |0 (CaQQLa)201-0380277 
650 7 |a SCIENCE  |x Earth Sciences  |x Geography.  |2 bisacsh 
650 7 |a SCIENCE  |x Earth Sciences  |x Geology.  |2 bisacsh 
650 7 |a Cities and towns  |x Remote sensing  |2 fast  |0 (OCoLC)fst00861836 
650 7 |a Coasts  |x Remote sensing  |2 fast  |0 (OCoLC)fst00865820 
700 1 |a Zribi, Mehrez,  |e author. 
776 0 8 |i Print version:  |a Baghdadi, Nicolas.  |t Land surface remote sensing in urban and coastal areas.  |d London, England ; Oxford, England : ISTE Press : Elsevier, �2016  |h xlii, 350 pages  |k Remote sensing observations of continental surfaces set.  |z 9781785481604 
830 0 |a Remote sensing observations of continental surfaces set. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9781785481604  |z Texto completo 

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