Lincolnshire coast beach-dune surveys December 2013-April 2015 (NERC grant NE/M000052/1)

The dataset contains on-average monthly terrestrial LiDAR surveys conducted on the Lincolnshire coastline following the 2013 storm surge, collected between December 2013 and April 2015. The approximate coordinate locations of the surveys are given as follows: -EmbryoDunes (ED) 53°22'03"N 0°14'54"E -MablethorpeNorthEnd (MNE) 53°21'43"N 0°15'03"E The data were collected to record the rate and nature of recovery of the geomorphology of the back-beach and foredune zones following a storm surge in December 2013. Users interested in nearshore coastal geomorphology dynamics will find the data useful.

Date (Creation): 2015-04

Identifier: http://data.bgs.ac.uk/id/dataHolding/13607099

Point of contact

University of Loughborough - Professor Joanna Bullard ( Department of Geography )

Loughborough , LE11 3TU ,

Maintenance and update frequency: notApplicable notApplicable

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

Beaches
Dunes
Foredunes
Coastal features
Geomorphology

dataCentre

NGDC Deposited Data

Keywords

NERC_DDC

Access constraints: otherRestrictions Other restrictions

Other constraints: no limitations

Other constraints: The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.

Use constraints: otherRestrictions Other restrictions

Other constraints: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Metadata language: EnglishEnglish

Topic category

Geoscientific information

Geographic identifier

LINCOLNSHIRE [id=157200]

Date (Creation): 1979

Begin date: 2013-12

End date: 2015-04 After

Unique resource identifier: OSGB 1936 / British National Grid (EPSG::27700)

Distribution format

OnLine resource: Data ( WWW:DOWNLOAD-1.0-http--download )

Hierarchy level: dataset Dataset

Other: dataset

Conformance result

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Date (Publication): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: No

Statement: The dataset contains on-average monthly terrestrial LiDAR surveys collected as part of NERC grant NE/M000052/1 'Sensitivity of post-storm surge dune recovery to pre-storm geomorphological variability'. The datasets have been registered to a local OS Grid coordinate system to reduce errors during georeferencing. The files are supplied in comma delimited .csv format with individual points given in Eastings, Northings, Elevation (relative to mean sea level, ODN). The nomenclature given to the files (comma delimited .csv format) is as follows: Date*_Digital Elevation Model**.csv *given in YYMMDD format **as digital surface and terrain models (DSMs and DTMs respectively) The point-cloud data has been filtered using a local block window filter to differentiate between the ground surface (DTM) and supersurficial material (DSM). The window sizes for the ED and MNE sites are 50 and 5cm respectively. The optimal size of window was deduced from a dGPS ground control point comparison. Filtered data has subsequently been clipped to remove areas of low point density (obscuration from scanner). The dimensions of this clip are 65 x 130m (8100m^2) and 40 x 50m (2000m^2) for the respective ED and MNE sites.