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Processed aeromagnetic line data flown from Rothera station with a Windracers Ultra UAV (2023/24 season)

Airborne magnetic data provides insight into the subsurface geology and tectonic history. This dataset includes processed airborne magnetic data collected over Marguerite Bay during the 2023/2024 Antarctic field season. This survey was carried out as part of a wider UKRI Innovate UK Future Flight-3 SWARM project in collaboration with Windracers Ltd to demonstrate their Ultra Uncrewed Aerial Vehicle (UAV) as a platform for environmental science. As part of this project ~1600 km of new high resolution aeromagnetic data with a ground clearance of 500m was collected around Rothera research station, West Antarctica. Data were acquired using a GEMSys GSMP-35U UAV magnetometer mounted on a Windracers Ultra UAV. Magnetic line data is provided as comma separated ASCII file.





This study was funded by Innovate UK through their Future flight challenge support for the "Protecting environments with unmanned aerial vehicle swarms" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.

Simple

Date (Creation)
2024-10-15
Date (Revision)
2024-10-15
Date (Publication)
2024-10-15
Date (released)
2024-10-15
Edition

1.0

Unique resource identifier
https://doi.org/10.5285/4bcc9b4e-fab5-46cd-aac3-56c28e61cff1
Codespace

doi

Unique resource identifier
GB/NERC/BAS/PDC/01921
Codespace

https://data.bas.ac.uk/

Other citation details

Please cite this item as: Jordan, T., Lowe, M., Robinson, C., Reed, T., & Toomey, R. (2024). Processed aeromagnetic line data flown from Rothera station with a Windracers Ultra UAV (2023/24 season) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/4bcc9b4e-fab5-46cd-aac3-56c28e61cff1

Credit

No credit.

Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role
British Antarctic Survey Jordan, Tom Author
British Antarctic Survey Lowe, Maximilian Author
British Antarctic Survey

Robinson, Carl

Author

Distributed Avionics

Reed, Tom

Author

Windracers

Toomey, Rebecca

Author
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Point of contact
Maintenance and update frequency
As needed
Maintenance note
Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Solid Earth > Geomagnetism
Theme
  • Antarctic Peninsula

  • UAV

  • drone

  • magnetic

  • tectonics

Place
  • Marguerite Bay Antarctica

GEMET - INSPIRE themes, version 1.0

  • Geology
Access constraints
Other restrictions
Other constraints
no limitations to public access
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
License
Other constraints
Open Government Licence v3.0
Use constraints
Other restrictions
Other constraints

This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/

Use constraints
Other restrictions
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Further by downloading this data the user acknowledges that they agree with the NERC data policy (), and the following conditions:





1. To cite the data in any publication as follows:



Jordan, T., Lowe, M., Robinson, C., Reed, T., & Toomey, R. (2024). Processed aeromagnetic line data flown from Rothera station with a Windracers Ultra UAV (2023/24 season) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/4bcc9b4e-fab5-46cd-aac3-56c28e61cff1





2. The user recognizes the limitations of data. Use of the data is at the users' own risk, and there is no warranty as to the quality or accuracy of any data, or the fitness of the data for your intended use. The data are not necessarily fully quality assured and cannot be expected to be free from measurement uncertainty, systematic biases, or errors of interpretation or analysis, and may include inaccuracies in error margins quoted with the data.

Use constraints
Other restrictions
Other constraints

None

Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Geoscientific information
N
S
E
W
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Begin date
2024-02-09
End date
2024-03-03

Vertical extent

Minimum value
286.0
Maximum value
805.0

Vertical CS

No information provided.

Vertical datum

No information provided.
Supplemental Information

It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)
2008-11-12
Cited responsible party
Organisation name Individual name Electronic mail address Role

European Petroleum Survey Group

EPSGadministrator@iogp.org

Publisher
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version

6.18.3

Distributor

Distributor contact
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Distributor
Distributor format
Name Version
text/csv
Units of distribution

bytes

Transfer size
180355072
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4bcc9b4e-fab5-46cd-aac3-56c28e61cff1

Get Data

Hierarchy level
Dataset
Statement

Methodology:

The magnetic sensor was mounted in the payload bay door of the Ultra, meaning the sensor sat ~1.5 m behind the payload bay when the door was closed. This location was chosen as other areas far from the core electronic systems and engines, such as wing tips and tail, housed electronically activated control surfaces, which would likely generate unacceptable levels of noise. Magnetic data was collected with a GEMSys GSMP-35U UAV magnetometer. Data were logged at 10 Hz, and included GPS derived time and position, total magnetic field (nT) as well as x, y and z fluxgate magnetometer information and roll, pitch, heading information from a small Inertial Navigation System (INS) mounted on the aircraft floor.



A magnetic base station, deployed close to Rothera Station, was used to correct for diurnal variations of the magnetic field. Prior to use the base station values were subject to the following corrections: i) DC correction to remove steps, associated with adjusting the base station support. A DC correction allows application of a uniform correction of a set value across the dataset ii) The base station data was detrended by a polynomial trend order of 8 to remove residual trends and the absolute average total field value. Iii) The data was then filtered by a mean filter with a window width of 40 (10 minutes) to remove residual high frequency noise. The base station data is also provided here for reference.



The raw airborne magnetic data was initially cleaned by manually removing extreme outliers and spikes. Next the magnetic data was filtered with a statical mean filter with a window width of 10 (1 second). Magnetic compensation was applied to account for adjustments of the UVA in term of aircraft roll, pitch and yaw, based on data from a triad of fluxgate magnetometers, also de-spiked and filtered at 1 second. Compensation was carried out in the software Aeromagnetic Compensation Postprocessing Application from GEMSys.



After compensation the total field magnetic survey data was corrected for the core field using the 2020 IGRF model, implemented in the Geosoft Oasis Montaj software. The magnetic data was levelled against ADMAP-2. Levelled ADMAP-2 data include a magnetic survey flown perpendicular to the SWARM survey. The ADMAP data was flown on two different altitudes at 2440 m and 1220 m. Therefore all data from SWARM and ADMAP-2 were upward continued to a constant altitude of 2440 m. Iterative levelling combined with removal of large outliers at the cross tie was applied until a satisfactory result (no artifacts in flight lines direction) was achieved. The levelled magnetic product was subtracted from the upward continued line data consisting of ADMAP-2 and SWARM data to obtain the levelling coefficients. Those coefficients are subsequently added to the SWARM line data at the original altitude. In doing so, the SWARM survey is levelled against ADMAP-2, while retaining the higher resolution that is achieved by a significant lower altitude.

Data collection:

Sensor(s): GEMSys GSMP-35U UAV magnetometer



Platform(s):UAV - Windracers Ultra TD-02

Data quality:

After levelling the crossover error was 37.7 nT.





Data has 2 km line spacing. Along track resolution may be higher, but is limited by the distance to the nearest magnetic sources (>500 m).

Metadata

File identifier
4bcc9b4e-fab5-46cd-aac3-56c28e61cff1 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2024-10-15
Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

polardatacentre@bas.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

Antarctic Peninsula UAV drone magnetic tectonics
GEMET - INSPIRE themes, version 1.0

Geology
Global Change Master Directory (GCMD) Science Keywords

EARTH SCIENCE > Solid Earth > Geomagnetism


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