7217e6c0-46c7-4f87-bc36-589f884d3b02 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-21T09:41:34 UK GEMINI 2.3 OSGB 1936 / British National Grid Digital Elevation Model (DEM) data for the Conwy estuary, Wales 2024-01-15 publication https://catalogue.ceh.ac.uk/id/7217e6c0-46c7-4f87-bc36-589f884d3b02 10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02 doi: Vasilopoulos, G., Robins, P.E., Chien, N. (2024). Digital Elevation Model (DEM) data for the Conwy estuary, Wales. NERC EDS Environmental Information Data Centre 10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02 The Digital Elevation Model (DEM) domain includes the tidally influenced Conwy estuary, downstream of the Cwmlanerch river gauge on the River Conwy and extending offshore into Conwy Bay and the Menai Strait at the coastal boundary. A number of sources were combined to generate the land elevation data, including (a) seabed bathymetry, (b) land elevations and (c) location and heights of existing flood defences. The domain topography was based on the marine DEM, Lidar Digital Terrain Model (DTM) and Ordnance Survey Terrain 5m DTM. The Lidar DTM data was used to check and, where necessary, augment the flood defences vector database. Full details about this dataset can be found at https://doi.org/10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02 Robins, P.E. Bangor University p.robins@bangor.ac.uk https://orcid.org/0000-0001-9503-9845 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Vasilopoulos, G. University of Hull G.Vasilopoulos@hull.ac.uk author Robins, P.E. Bangor University p.robins@bangor.ac.uk https://orcid.org/0000-0001-9503-9845 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chien, N. University of Edinburgh nchien@ed.ac.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Bangor University p.robins@bangor.ac.uk owner Elevation theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication coast estuary digital land model GEMET - Concepts, version 4.1.3 2019-01-28 creation Modelling Digital Elevation Model otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Vasilopoulos, G., Robins, P.E., Chien, N. (2024). Digital Elevation Model (DEM) data for the Conwy estuary, Wales. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02 grid 20 English utf8 elevation -3.949 -3.676 53.089 53.353 ASCII NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/7217e6c0-46c7-4f87-bc36-589f884d3b02 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/7217e6c0-46c7-4f87-bc36-589f884d3b02.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 a) Seabed bathymetry for the Menai Strait, Conwy Bay and the mouth of the Conwy estuary extending upstream to the Conwy Bridge were obtained from marine Digital Elevation Models (DEMs) distributed by OceanWise and made available through Digimap. These marine DEMs consist of bed elevations measured with single- and multibeam sonar sensors and converted into raster tiles of 1 arc second horizontal resolution. They are referenced to the WGS 1984 coordinate system and the recorded bathymetry is referenced to the local Chart Datum at Llandudno. b) The majority of land elevations for this catchment (73%) have been surveyed by Natural Resources Wales (NRW) using Light Detection and Ranging (Lidar) technology through a series of aerial surveys spanning multiple years (2016-2020). The composite-derived Digital Terrain and Surface Models (DTMs and DSMs, respectively) were obtained from Digimap. The raster tiles have 1 m resolution, are projected to the British National Grid and the elevations are referenced to the national Ordnance Survey vertical datum at Newlyn. The difference between DTMs and DSMs is that the former represents earth terrain and as such has all ‘above-surface’ features (e.g. vegetation, human-made structures) removed, which are included in the latter. Elevation data for the remaining land areas not covered by the Lidar-based composites (27%) were extracted from the Ordnance Survey Terrain 5 m DTM also available through Digimap. This lower-resolution dataset has national coverage and consists of elevation data obtained from multiple sources including airborne Lidar, photogrammetry and field surveys. The data are provided as raster tiles of 5 m resolution projected to the British National Grid with elevations referenced to the national Ordnance Survey vertical datum at Newlyn. c) Locations and heights of flood defences were obtained from the NRW data catalogue. These data consist of vector shapefiles projected to the British National Grid with polylines detailing the location of flood defences including information on the type of defence (e.g. wall, embankment) and the height of the crest above the terrain in metres. All spatial data outlined above were imported into ArcGIS Pro 3.0 and processed to generate the DEM. Individual raster files pertaining to the various datasets outlined above were mosaiced into a single raster tile and resampled to 5 m resolution using a bilinear interpolation method.