72f5575ed69bacba43a431c9802797d81e31810a eng utf8 dataset Sytze van Heteren Geological Survey of the Netherlands (TNO) +31 (0)88 866 45 65 Princetonlaan 6 Utrecht NL-3584 CB The Netherlands sytze.vanheteren@tno.nl https://drive.emodnet-geology.eu/geoserver/tno/wms pointOfContact 2025-03-27 ISO 19115/INSPIRE_TG2/CZ4 2003/cor.1/2006 ETRS-LCC (3034) [INSPIRE] Coastal migration via satellite data (40k-80k) 2022-09-15 revision Thanks to the public availability of satellite data (optical imagery of ESA Sentinel 2 and NASA Landsat 5, 7 & 8 with pixel resolutions of 10-30 metres and a revisit time of 1 to 2 weeks) and new analytical tools for processing big data (such as the Google Earth Engine), the EMODnet Geology team in collaboration with Deltares and TNO (Geological Survey of the Netherlands) were able to look at shoreline migration in a new way. Scripts for automated detection of the land-water boundary were used to separate land from water in annual image composites for the period 2007-2017. During this process, data points were generated for each part along the European shoreline. These points were then averaged by year and analysed for a decadal period. Visualising pan-European shoreline change means making choices, like defining a stable shoreline for example. A mean rate of 0.5 metre per year was chosen, though this rate depends on the landscape: granite cliffs for example shows less decadal dynamics compared to a sandy barrier island. The spatial resolution of the method, depending on the pixel resolution of the individual satellite images which is about 10 metres, is still limiting. Validations of abovementioned method have shown that the method is less accurate in case of bluffs, cliffs and muddy coasts, and as such further validations will need to take place. EMODnet Geology hopes that by releasing the satellite-based dataset now, coastal experts and other end users will be able to discover and communicate possibilities and limitations of automated methods for the extraction of shoreline position and quantification of annual to decadal change. To help in this process, a companion map showing shoreline migration on the basis of field data and expert is made available, thereby facilitating a first-order comparison. Sytze van Heteren Geological Survey of the Netherlands (TNO) +31 (0)88 866 45 65 Princetonlaan 6 Utrecht NL-3584 CB The Netherlands sytze.vanheteren@tno.nl https://drive.emodnet-geology.eu/geoserver/tno/wms pointOfContact http://drive.emodnet-geology.eu/geonetwork/srv/eng//resources.get?uuid=72f5575ed69bacba43a431c9802797d81e31810a&fname=72f5575ed69bacba43a431c9802797d81e31810a_s.png Geology theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication EMODnet-Geology European Geoscience Registry - Projects 2020-01-01 publication features coastal_migration_2019_40k_80k EMODnet Central Portal otherRestrictions Creative Commons BY-SA 4.0 otherRestrictions no limitations to public access vector 40000 80000 eng oceans -24.8780384063721 54.2846145629883 33.6040954589844 71.3702774047852 2022-09-15 ESRI Shapefile https://emodnet.ec.europa.eu/en/geology WWW:LINK EMODnet Geology A general description of EMODnet Geology and the accessible data. https://www.emodnet-geology.eu/products/wp5/coastline_migration.zip WWW:DOWNLOAD Coastal migration via satellite data. coastline_migration.zip download https://drive.emodnet-geology.eu/geoserver/tno/wms? OGC:WMS tno:coastal_migration_satellite_40k_80k Web map service for Coastal migration via satellite data (40k-80k) information https://drive.emodnet-geology.eu/geoserver/tno/wfs? OGC:WFS tno:coastal_migration_satellite_40k_80k Web feature service for Coastal migration via satellite data (40k-80k) download COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See referenced specification Datasets are collected and digitized using GIS software. The resulting line representation was aggregated into point features at respective zoom levels using a Feature Manipulation Workbench (FME) to create and populate the points in terms of underlying category.