aa1c8fe05eee3118ea96ac492a5e78a34827f33b
eng
utf-8
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
2022-11-29
ISO 19115/INSPIRE_TG2/CZ4
2003/cor.1/2006
Coastal migration via satellite data (250k-350k)
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=aa1c8fe05eee3118ea96ac492a5e78a34827f33b&fname=aa1c8fe05eee3118ea96ac492a5e78a34827f33b_s.png
EMODnet-Geology
theme
European Geoscience Registry - Projects
2020-01-01
publication
features
coastal_migration_2019_250k_350k
250000.0
350000.0
oceans
-24.9027118682861
54.2857284545898
33.6969795227051
71.3662796020508
http://drive.emodnet-geology.eu:80/geoserver/tno/ows?SERVICE=WMS&
OGC:WMS-1.3.0-http-get-map
tno:coastal_migration_satellite_250k_350k
Coastal migration via satellite data (250k-350k)
https://drive.emodnet-geology.eu/geonetwork/srv/eng/xml.metadata.get?uuid=6f58fab303bb03214b47c2173156182a7c86c0e2
text/xml
tno:coastal_migration_satellite_250k_350k (MetadataURL)
http://drive.emodnet-geology.eu:80/geoserver/tno/ows?service=WMS&request=GetLegendGraphic&format=image%2Fpng&width=20&height=20&layer=tno%3Acoastal_migration_satellite_250k_350k
image/png
(LegendURL)