Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Stephens, David (2015): North Sea and UK shelf substrate composition predictions, with links to GeoTIFFs [dataset]. Centre for Environment, Fisheries and Aquaculture Science, PANGAEA, https://doi.org/10.1594/PANGAEA.845468

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Coverage:
Median Latitude: 56.000000 * Median Longitude: 3.000000 * South-bound Latitude: 54.000000 * West-bound Longitude: -2.000000 * North-bound Latitude: 58.000000 * East-bound Longitude: 8.000000
Event(s):
North-Sea * Latitude Start: 58.000000 * Longitude Start: -2.000000 * Latitude End: 54.000000 * Longitude End: 8.000000 * Location: North Sea
Comment:
A random forest regression model is used to predict percent mud/sand/gravel content for the North Sea and UK shelf. Predictions are made using outputs from hydrodynamic models as well as optical remote sensing data from satellite platforms and bathymetric variables, which are mainly derived from acoustic remote sensing. GeoTIFFs with a 500 m resolution of mud/sand/gravel fractions are given as well as substrate classes (EUNIS and Folk).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File contentContentStephens, David
2Uniform resource locator/link to model result fileURL modelStephens, DavidCalculated
Size:
10 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML