Near-field TLS and SfM datasets from the 2016 central Italian Earthquake Sequence ( NERC grant NE/P018858/1)

Terrestrial laser scanning datasets (including GPS data for georeferencing), structure from motion datasets, and field photographs collected during the 2016 Central Italian Earthquake sequence. Data were collected from multiple localities to capture the co- and post- seismic near-fault deformation along the earthquake surface ruptures. See the scan_data.xlsx for individual details of each laser scan location, and readme.txt for a complete description. In each scan site folder you can find the unprocessed raw files and processed ascii files. Note, not all processed files are georeferenced.This is due to time constraints on field data collection. Georeferencing for these data can be achieved by point cloud matching to other georeferenced scans. Photos for structure from motion (SfM) datasets were collected with a Nikon camera. All original photos are provided. Field photographs taken in the aftermath of the 2016 Norcia Earthquake (30th October 2016, Mw6.6) are also provided. Relevant references are: Wilkinson, MW, KJW McCaffrey, RR Jones, GP Roberts, RE Holdsworth, LC Gregory, RJ Walters, LNJ Wedmore, H Goodall, F Iezzi (2017). Near-field fault slip of the 2016 Vettore Mw 6.6 earthquake (Central Italy) measured using low-cost GNSS. Scientific Reports 7: 4612. Walters, RJ, LC Gregory, LNJ Wedmore, TJ Craig, K McCaffrey, M Wilkinson, J Chen, Z Li, JR Elliott, H Goodall, F Iezzi, F Livio, AM Michetti, G Roberts, E Vittori (2018). Dual control of fault intersections on stop-start rupture in the 2016 Central Italy seismic sequence. Earth and Planetary Science Letters 500, 1-14. Wedmore, LNJ, LC Gregory, KJW McCaffrey, H Goodall, RJ Walters (in review). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Submitted to Geophysical Research Letters.

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Identification info

Metadata Language
English (en)
Dataset Reference Date ()
2019-02-05
Identifier
http://data.bgs.ac.uk/id/dataHolding/13607433
  University of Leeds - Laura Gregory ( School of Earth and Environment )
Leeds , LS2 9JT ,
  University of Leeds - Laura Gregory ( School of Earth and Environment )
Leeds , LS2 9JT ,
  British Geological Survey - Enquiries
  British Geological Survey - Enquiries
Maintenance and update frequency
notApplicable
GEMET - INSPIRE themes, version 1.0
BGS Thesaurus of Geosciences
  • NGDC Deposited Data
  • Earthquakes
Keywords ()
Keywords
  • NERC_DDC
Limitations on Public Access
otherRestrictions
Other constraints
licenceOGL
Other constraints
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Use constraints
otherRestrictions
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]"
Spatial representation type
grid
Topic category
  • Geoscientific information
Extent
CENTRAL ITALY [id=287500]

Dataset Reference Date ()
1979

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W


Begin date
2016-08-30
End date
2017-09-10
 
Code
WGS 84 / UTM zone 33N (EPSG::32633)

Distribution Information

Data format
  • jpeg ()

  • ascii text files ()

  • RiSCAN ()

  • MS Excel ()

Resource Locator
https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item126414
Resource Locator
https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item126414
 
Quality Scope
dataset
Other
dataset

Report

Dataset Reference Date ()
2011
Explanation
See the referenced specification
Degree

Report

Dataset Reference Date ()
2010-12-08
Explanation
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
Degree
Statement
All data were collected with a Reigl VZ1000 terrestrial laser scanner. All georeferencing was achieved using a differential GPS. Horizontal Coordinates: WGS 84 / UTM zone 33N [EPSG: 32633] Vertical Coordinates: WGS84 Ellipsoid [EPSG: 7030] Unprocessed, raw files, are in Reigl proprietary format. Ascii files are tab delimited and list the X,Y,Z coordinates of the points followed by a laser return intensity value. GPS data files are provided in RINEX format in a separate folder. Photos for SfM were processed in Agisoft. The processed point cloud is also provided.

Metadata

File identifier
8497fa82-a36c-0e7c-e054-002128a47908 XML
Metadata Language
English (en)
Resource type
dataset
Metadata Date
2024-09-07
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  British Geological Survey
Environmental Science Centre,Keyworth , NOTTINGHAM , NOTTINGHAMSHIRE , NG12 5GG , United Kingdom
+44 115 936 3100
 
 

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