European Spatial Data for Coastal and Marine Remote Sensing: Proceedings of International Conference Eucomare 2022-Saint Malo, France

European Spatial Data for Coastal and Marine Remote Sensing: Proceedings of International Conference Eucomare 2022-Saint Malo, France

Proceedings of International Conference EUCOMARE 2022-Saint Malo, France

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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?.