3a9c8604-2bca-48c1-a40c-48a873076581 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2024-10-15 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Airborne gravity data over Marguerite Bay collected with a Windracers Ultra UAV (2023/24 season) 2024-10-15 creation 2024-10-15 revision 2024-10-15 publication 2024-10-15 released 1.0 https://doi.org/10.5285/3a9c8604-2bca-48c1-a40c-48a873076581 doi GB/NERC/BAS/PDC/01922 https://data.bas.ac.uk/ Please cite this item as: Jordan, T., Robinson, C., Reed, T., & Toomey, R. (2024). Airborne gravity data over Marguerite Bay collected with a Windracers Ultra UAV (2023/24 season) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/3a9c8604-2bca-48c1-a40c-48a873076581 Airborne gravity data provides insight into the regional subsurface geology and tectonic history. This dataset includes processed airborne data collected over Marguerite Bay using an iCorous strapdown gravity sensor. The gravity sensor was mounted in a Windracers Ultra UAV, serial TD-02. Gravity data was collected at a mean altitude of 500 m on nine flights between 120 and 260 km long, originating from Rothera Research Station. The flight pattern covered an area of 24 km by 75 km, with lines spaced 2 km apart. Data has an along line resolution of ~2 km. The survey targeted a tectonic break between different sectors of the Antarctic Peninsula identified in existing magnetic data. The survey was flown as part of the Innovate UK SWARM project demonstrating the utility of the Windracers Ultra as a platform for environmental science. 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. No credit. completed Jordan, Tom British Antarctic Survey Researcher author Robinson, Carl British Antarctic Survey Researcher author Reed, Tom Distributed Avionics Researcher author Toomey, Rebecca Windracers Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Solid Earth > Geodetics/Gravity > Gravity EARTH SCIENCE > Solid Earth > Geodetics/Gravity theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Antarctic Peninsula UAV drone gravity tectonics theme Marguerite Bay Antarctica place Geology theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/ otherRestrictions 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., Robinson, C., Reed, T., & Toomey, R. (2024). Airborne gravity data over Marguerite Bay collected with a Windracers Ultra UAV (2023/24 season) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/3a9c8604-2bca-48c1-a40c-48a873076581 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. otherRestrictions None url url crossReference url url crossReference textTable eng utf8 geoscientificInformation -69.28463 -67.75088 -68.1924 -67.57269 2024-02-09 2024-03-03 286.0 805.0 urn:ogc:def:crs:EPSG::5714 MSL height Not specific to any location or epoch. Hydrography. 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. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor text/csv bytes 15728640 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=3a9c8604-2bca-48c1-a40c-48a873076581 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Instrumentation and Processing: Data was collected using an iCORUS strapdown gravity sensor, including full thermal stabilisation, rented from iMAR Ltd. The sensor was mounted approximatley coincident with the center of mass of the Windracers Ultra survey UAV, directly below the primary survey GNSS antenna. The sensor was powered and allowed to reach a manually set stable temprature 48 hours prior to operation and remained powered and at the set temprature for the duration of the survey operation. A set ambiant temprature of 5° C was chosen, consistent with expected operational conditions. Variations of +/- 15° around this value were permissable within the systems heating/cooling capability and these limits were not exceded during the survey. Please note that the sensors actual stabilised internal temprature was a constant value ~20° above this set ambiant value. The sensor was set to colect the required Inertial Navigation System (INS) and GNSS data >15 minutes before and after each survey flight. GNSS base station data for post processing was collected at either the Rothera International GNSS Service (IGS) station, or using a tempoary Javad base station reciever installed adjacent to the runway. Gravity values (referenced to the ellipsoid so technically gravity disturbance) were calculated using the terrapos GNSS processing software package. This implements a Kalman filtering approach to integrate INS (accelerometer and gyroscope triads) data with GNSS satellite data to simultaneously solve for platform position, velocity and attitude as well as the gravitational field variations. To conduct the processing, precise satellite ephemeris were downloaded from IGS to improve the quality of the solution. The lever arm values between the gravity sensor and the GNSS antenna must be known accurately for high quality processing. These values were initially determined by a combination of physical measurements and use of CAD images of the Windracers Ultra platform, with an accuracy of ~2 cm. Subsequently the lever arm estimate was improved by allowing the Kalman filter to optimise the lever arm values. This procedure was applied to a magnetic compensation flight, as the relatively high dynamics (roll/pitch/yaw) give a better signal for solving the lever arm. After four iterations stable, low error (<0.5 cm) lever arm estimates were achieved, which were applied for all subsequent missions. The output gravity values were visually assessed for quality using the Geosoft software package. Offsets between recovered gravity values for different flights of up to 20 mGal were apparent, with some flights showing an apparent linear trend of up to 5 mGal between start and end. To resolve this error the output 'absolute gravity' value for the UAV during the static measurements before and after each flight was compared to the absolute gravity value reported for Rothera Hanger tie point by Rene Foresberg during the PolarGAP survey (https://earth.esa.int/eogateway/documents/20142/37627/PolarGap-2015-2016-final-report.pdf). The differences were assumed to be the offset in the gravity anomaly value. A linear trend between the start and end static offsets was imposed to account for system/processing drift. All static readings were made withing 50 m, and more typically ~20 m from the hanger tie point, so this is a relatively robust check. Minor line to line offsets remained visible in the gravity data after levelling to the hanger tie point. Simple statistical levelling, applied using two missions flown either orthogonal or oblique to the main survey as tie lines, reduced the errors further. The southern part of the survey lacked tie lines, and an additional judgement was made to reduce the amount of statistical levelling in this region, as it provided the best visual minimisation of line to line noise. To convert the free air anomaly (disturban...(24) Data collection: Sensor(s): iCORUS strapdown gravity sensor from iMAR Ltd. Platform(s):UAV - Windracers Ultra TD-02 Data quality: The processed gravity data was created using a Kalman filter with a spatial corelation coefficient of 2 km, and an assumed standard deviation for the gravity data of 10 mGal. The assumed minimum along track resolution is therefore 2 km. Comparison of repeat lines shows differences with a standard deviation of 1.66 mGal. This is taken to represent the accuracy of the dataset after levelling. asNeeded completed