Topographic and kinematic data from the Kaikoura earthquake, New Zealand (NERC grant NE/P021425/1)
In this submission we Include three data sets collected as part of a NERC Urgency programme. Data were collected from a key field site within the Marlborough Fault Zone (MFZ), New Zealand. The Mw 7.8 Kaikoura Earthquake of 14th November 2016 was characterised by a surprising degree of spatial complexity in the surface displacement field in the Marlborough region, South Island, New Zealand. This complexity includes movement on up to 12 faults, besides a high degree of variability in apparent slip along strike of individual faults over relatively short distances. The Urgency programme included rapid collection of Terrestrial Laser Scanning (TLS), Structure from Motion (SfM) and Global Navigation Satellite System (GNSS) data immediately after this event. We include data for one of our field sites for which data collection succeeded, and processing has been completed. For a summary of the key initial findings from this data set, see the following EGU 2018 Abstract and summary:
https://meetingorganizer.copernicus.org/EGU2018/EGU2018-6847.pdf
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2018-11-14
University of Sheffield
-
Professor Edward Rhodes
(
Department of Geography
)
Winter Street
,
Sheffield
,
S10 2TN
,
University of Sheffield
-
Professor Edward Rhodes
(
Department of Geography
)
Winter Street
,
Sheffield
,
S10 2TN
,
- Maintenance and update frequency
- notApplicable
- GEMET - INSPIRE themes
- BGS Thesaurus of Geosciences
-
- Satellite navigation
- Fault zone
- Earthquakes
- Keywords
-
- NERC_DDC
- Limitations on Public Access
- otherRestrictions
- Other constraints
- licenceOGL
- 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
- textTable
- Topic category
-
- Geoscientific information
- Extent
-
CANTERBURY [id=594300]
- Dataset Reference Date ()
- 1979
N
S
E
W
))
- Begin date
- 2016-01-01
- End date
- 2017-03-04
Distribution Information
- Data format
-
- Resource Locator
- https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item124172
- Resource Locator
- https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item124172
- 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
- Happy_valley.RiSCAN. The data include a full array of TLS data collected at our Happy Valley field site. Data collection took place using the NERC GEF Riegle VZ-1000 (http://gef.nerc.ac.uk/equipment/tls/vz1000/vz1000_overview.php ) The data folder includes all raw data and processing outputs from a typical RiScan-Pro data flow. Happy_valley_GNSS_RINEX_CSV. These data include all GPS and GNSS data collected at the Happy Valley field site in support of the TLS survey (above). Raw and processed data are included. Happy_Valley_UAV data. Here we include all raw UAV data (photographs and video) and processed Agisoft Photoscan outputs (DEMs) for the MFZ field sites collected (in 2016) before the earthquake.
Metadata
- File identifier
- 7c47b5ad-b249-50ae-e054-002128a47908 XML
- Metadata Language
- English (en)
- Resource type
- dataset
- Metadata Date
- 2023-12-08
- 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