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LiDAR (Light Detection And Ranging) images and model output from cliffs at Happisburgh, Norfolk, UK, 2019, from BLUE-coast and ScanLAB projects.

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).

Simple

Date (Publication)
2023-08-11T08:58:21
Date (Creation)
2023-08-11T08:58:21
Citation identifier
https://catalogue.ceda.ac.uk/uuid/2c6f3201f01d4346a97ff8f08a8c15c9
Citation identifier
NERC EDS British Oceanographic Data Centre NOC / 2c6f3201f01d4346a97ff8f08a8c15c9
Citation identifier
doi / 10.5285/2c6f3201f01d4346a97ff8f08a8c15c9
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Pennington, Catherine V. L.

Unavailable

Author

Unavailable

Shaw, Matthew

Unavailable

Author

Unavailable

Brooks, Thomas

Unavailable

Author

Unavailable

Briganti, Riccardo

Unavailable

Author

Unavailable

Gomez-Pazo, Alejandro

Unavailable

Author

Unavailable

Ruffini, Gioele

Unavailable

Author

Unavailable

Appleton, Matthew

Unavailable

Author

Unavailable

Payo Garcia, Andres

Unavailable

Author

NERC British Oceanographic Data Centre (BODC)

unknown

Custodian

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

pointofContact

NERC EDS British Oceanographic Data Centre NOC

unknown

Publisher
Maintenance and update frequency
Unknown
Update scope
Series
Keywords
  • coast

  • cliff

  • beach

  • shore

  • platform

  • Happisburgh

  • LiDAR

  • orthophotos

  • meteorology

  • oceanography

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions

Access constraints
Other restrictions
Other constraints
Please contact the data centre for assistance on accessing data from this dataset collection.
Use constraints
Other restrictions
Other constraints
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.
Other constraints
Under the following licence https://artefacts.ceda.ac.uk/licences/cuncgl_versions/cuncgl_v1-0.pdf, appropriate use of these data may fall under personal, academic and policy 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.
Spatial representation type
Grid
Language
English
Topic category
  • Climatology, meteorology, atmosphere
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Begin date
2019-03-23T00:00:00
End date
2019-12-31T23:59:59
Unique resource identifier
WGS 84
Distribution format
Name Version

Contact data centre for format details.

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/2c6f3201f01d4346a97ff8f08a8c15c9

CEDA Data Catalogue Page

Hierarchy level
Series

Conformance result

Title

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

Date (Publication)
2010-12-08
Statement

Please see data lineage statements for each dataset within this collection for data lineage details.

Metadata

File identifier
2c6f3201f01d4346a97ff8f08a8c15c9 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

series

Date stamp
2026-03-11T03:31:40
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


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