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Applications of remote sensing in coastal areas / Konstantinos Topouzelis (2020)  

Public Titre : Applications of remote sensing in coastal areas Type de document : Monographie Auteurs : Konstantinos Topouzelis, Éditeur scientifique ; Apostolos Papakonstantinou, Éditeur scientifique ; Siman Singha, Éditeur scientifique ; et al., Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 288 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-03928-659-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse d'image orientée objet [Termes IGN] classification orientée objet [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] classification pixellaire [Termes IGN] détection de contours [Termes IGN] données lidar [Termes IGN] érosion côtière [Termes IGN] falaise [Termes IGN] habitat (nature) [Termes IGN] herbier marin [Termes IGN] image PlanetScope [Termes IGN] modèle numérique de surface [Termes IGN] surveillance du littoral Résumé : (éditeur) Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes—resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on “Application of Remote Sensing in Coastal Areas” is specifically addresses those successful applications—from local to regional scale—in coastal environments related to ecosystem productivity, biodiversity, sea level rise. Note de contenu : 1- Monitoring cliff erosion with LiDAR surveys and Bayesian network-based data analysis 2- Cubesats allow high spatiotemporal estimates of satellite-derived bathymetry 3- Comparison of Pixel- and object-based classification methods of unmanned aerial vehicle data applied to coastal dune vegetation communities: Casal Borsetti case stud 4- Capturing coastal dune natural vegetation types using a phenology-based mapping approach: The potential of Sentinel-2 5- Sub-pixel waterline extraction: Characterising accuracy and sensitivity to indices and spectra 6- Satellite observations of wind wake and associated oceanic thermal responses: A case study of Hainan Island wind wake 7- Comparison of true-color and multispectral unmanned aerial systems imagery for marine habitat mapping using object-based image analysis 8- Spatial and temporal variability of open-ocean barrier islands along the Indus Delta region 9- Characterizing and monitoring ground settlement of marine reclamation land of Xiamen New Airport, China with Sentinel-1 SAR datasets 10- Deriving high spatial-resolution coastal topography from sub-meter satellite stereo imagery 11- Photon-counting Lidar: An adaptive signal detection method for different land cover types in coastal area 12- Automatic semi-global artificial shoreline subpixel localization algorithm for Landsat imagery 13- Analysis of ship detection performance with full-, compact- and dual-polarimetric SAR 14- Sea ice extent detection in the Bohai Sea using Sentinel-3 OLCI data Numéro de notice : 28689 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03928-659-1 En ligne : https://doi.org/10.3390/books978-3-03928-659-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100128