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European Spatial Data for Coastal and Marine Remote Sensing Proceedings of International Conference EUCOMARE 2022-Saint Malo, France
Title
European Spatial Data for Coastal and Marine Remote Sensing [electronic resource] : Proceedings of International Conference EUCOMARE 2022-Saint Malo, France / edited by Simona Niculescu.
ISBN
9783031162138
Edition
1st ed. 2023.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2023.
Physical Description
1 online resource (XIX, 249 p.) 135 illus., 124 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This volume presents full paper contributions from the International Conference of European Spatial Data for Coastal and Marine Remote Sensing (EUCOMARE) 2022, with the support of the ERASMUS+ Programme of the European Union, held in Saint Malo, France. EUCOMARE aims to promote academic and technical exchange on coastal related studies including coastal environmental and socio-economic issues, with the use of European remotely sensed data. The book is an excellent resource for scientists, engineers, and programme managers eager to learn about the recent developments and achievements in the field of remote sensing applications on marine and coastal areas. Readers will learn about recent advances in sensors' radiometric, spatial, temporal and spectral resolution, as well as new data processing approaches in remote sensing for monitoring and mapping the various characteristics of marine, coastal and aquatic systems.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
February 22, 2023
Contents
Chapter1. Detection of Coccolithophore bloom episodes in Algiers Bay using satellite and in-situ analysis
Chapter2. Multiscale spatiotemporal NDVI mapping of salt marshes using Sentinel-2, Dove, and UAV imagery in the Bay of Mont-Saint-Michel, France
Chapter3. Contribution of near and mid infrared wavebands to mapping fine-scale coastal ecogeomorphological features
Chapter4. Monitoring land cover change in the south-eastern Baltic sea since the 1980s by remote sensing
Chapter5. Assessment of land cover changes in the Allala watershed based on object based image analysis using Landsat and Sentinel-2 images
Chapter6. Deep Learning based Bathymetry Mapping from Multispectral Satellite Data around Europa Island
Chapter7. Assessment of coastal vulnerability to erosion risk using geospatial and remote sensing methods (case of Jerba Island, Tunisia)
Chapter8. A Random Forest approach for evaluating forest cover changes outside dikes with Sentinel images
Chapter9. Spatial monitoring of coastal protection dikes case-study of the touristic beach "Palm Beach, west-Algiers Algeria''
Chapter10. Monitoring shoreline changes in the Vietnamese Mekong delta coastal zone using satellite images and wave reduction structures
Chapter11. Automatic detection of hydrodynamical and biological indicators of the shoreline using a convolutional neural network
Chapter12. Very high-resolution monitoring and evaluation of tidal and ecological restoration in Beaussais' bay
Chapter13. Assessment of shoreline change of Jerba Island based on remote sensing data and GIS using DSAS tools
Chapter14. New insights into the shallow morpho-sedimentary patterns using high-resolution topo-bathymetric lidar: the case study of the Bay of Saint-Malo
Chapter15. Spatial modeling of the benthic biodiversity using topo-bathymetric lidar and neural networks
Chapter16. Local circalittoral rocky seascape structuring fish community: insights from a photogrammetric approach
Chapter17. Local circalittoral rocky seascape structuring fish community: insights from a photogrammetric approach
Chapter18. Increasing the nature-based coastal protection using bathymetric lidar, terrain classification, network modelling: reefs of Saint-Malo's lagoon?.
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