2c6f3201f01d4346a97ff8f08a8c15c9 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 series series NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-19T19:38:37 UK GEMINI 2.3 WGS 84 LiDAR (Light Detection And Ranging) images and model output from cliffs at Happisburgh, Norfolk, UK, 2019, from BLUE-coast and ScanLAB projects. 2023-08-11T08:58:21 publication 2023-08-11T08:58:21 creation https://catalogue.ceda.ac.uk/uuid/2c6f3201f01d4346a97ff8f08a8c15c9 2c6f3201f01d4346a97ff8f08a8c15c9 NERC EDS British Oceanographic Data Centre NOC 10.5285/2c6f3201f01d4346a97ff8f08a8c15c9 doi A colour LiDAR (Light Detection And Ranging) dataset was obtained at the cliffs at Happisburgh, Norfolk, UK, over a period of 9 months (April 6, 2019 to December 23, 2019). The scans were taken daily for 90% of the study period using a FARO S350 TLS (Terrestrial LiDAR Scanner). Scans were carried out from two locations consecutively, positioned at around 40 m from the cliffs. The full scans are also split into smaller subsets: "slices", 1 m wide bands oriented perpendicular to the shoreline, and "grids", smaller areas of the beach, to assist analysis. The numerical model SWAN (Simulated Waves Nearshore) (v41.31a), run in non-stationary mode, was used to simulate hourly sea states at the study site to aid in the context of environmental conditions. Wind parameters from the ERA5 reanalysis and bathymetry from the OceanWise 1 arc second digital elevation model (DEM) were used to force the SWAN model, and obtained wave parameters in 4x6 km rectangular grid around the scanning site, with a 10m interval, and a 26x26 km square grid encompassing the smaller grid, with a 100 m interval. The LiDAR scans were also projected into both colour and intensity images, viewing the shoreline from above. This research was funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). The on-location LiDAR Scanning and Technical R&D operated by ScanLAB Projects Ltd was funded by Innovate UK's Audience of the Future Program (Multiscale 3D Scanning with Framerate for TV and Immersive Applications project). The first 6 months of LiDAR scans (April to September 2019) were funded by Innovate UK, and this project was continued by the NERC BLUE-coast funding for the last 3 months (October to December 2019). Pennington, Catherine V. L. Unavailable author Unavailable author Shaw, Matthew Unavailable author Unavailable author Brooks, Thomas Unavailable author Unavailable author Briganti, Riccardo Unavailable author Unavailable author Gomez-Pazo, Alejandro Unavailable author Unavailable author Ruffini, Gioele Unavailable author Unavailable author Appleton, Matthew Unavailable author Unavailable author Payo Garcia, Andres Unavailable author Unavailable author NERC British Oceanographic Data Centre (BODC) custodian unknown custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS British Oceanographic Data Centre NOC publisher unknown publisher unknown series coast cliff beach shore platform Happisburgh LiDAR orthophotos meteorology oceanography atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Please contact the data centre for assistance on accessing data from this dataset collection. otherRestrictions Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. Under the following licence https://artefacts.ceda.ac.uk/licences/cuncgl_versions/cuncgl_v1-0.pdf, appropriate use of these data may fall under academic, policy and personal use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English climatologyMeteorologyAtmosphere 1.344987 1.723434 52.772629 53.011051 2019-03-23T00:00:00 2019-12-31T23:59:59 Contact data centre for format details. NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/2c6f3201f01d4346a97ff8f08a8c15c9 CEDA Data Catalogue Page Detail and access information for the resource information series 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 Please see data lineage statements for each dataset within this collection for data lineage details.