Date ( Creation )

2015

Identifier

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

Maintenance and update frequency

notApplicable notApplicable

GEMET - INSPIRE themes

• Geology

BGS Thesaurus of Geosciences

• Beaches , Coastal features , Geomorphology , Foredunes , Dunes

Keywords

• NERC_DDC

Access constraints

otherRestrictions Other restrictions

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

English English

Topic category

• Geoscientific information

Geographic identifier

LINCOLNSHIRE [id=157200]

 

Date ( Creation )

1979

N

S

E

W

Reference system identifier

OGP / urn:ogc:def:crs:EPSG::27700

 

Date ( Revision )

2005

Distribution format

• ()

OnLine resource

http://www.bgs.ac.uk/services/ngdc/accessions/index.html#item73189  

Hierarchy level

dataset Dataset

Other

dataset

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.

gmd:MD_Metadata

File identifier

487b5a64-09bb-12f7-e054-002128a47908   XML

Metadata language

English English

Hierarchy level

dataset Dataset

Date stamp

2020-10-26

Metadata standard name

UK GEMINI

Metadata standard version

2.3

Dataset URI

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