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Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel (2023): Positioning and telemetry from ROV survey ARTofMELT2023/1_23-10 on 2023-06-07, survey 1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.962948, In: Anhaus, P et al. (2023): Positioning and telemetry from remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.962930

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Abstract:
The horizontal position of the remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023 was measured using an acoustic Long Base Line (LBL) positioning system (LinkQuest Pinpoint) with an operating frequency of 26.77-44.62kHz. It consists of a transceiver onboard the ROV and 3 transponders which were deployed on 5 m long chains through the drifting ice cover at different horizontal distances from the ROV ice access hole. Due to the high latitude and glitches in the Pinpoint software's coordinate conversions, the surveys were virtually moved and 'fake' geographic positions centered around 1°N/1°E were used. The survey track was smoothed using a Kalman filter from initial acoustic fixes and cleaned for most obvious outliers. This calibration result in a floe-fixed, relative coordinate system (distance, relative, X and distance, relative, Y) with the origin (X=0 m, Y=0 m) at the ROV hole. The final position was recorded in the SPOT.ON survey systems software (OceanModulesTM). A quality flag for the position is introduced based on the time to the closest fix with "1" indicating good positon (fix reached <= 3s), "2" medium position (fix reached > 3s & <= 5s), and "3" bad position (fix reached > 5s). Depending on the scientific aim, a position with quality flag "3" can still be useful. The ROV depth was measured by an integrated pressure sensor (Keller A-21Y, Keller AG) included in the main electronics housing of the ROV and calibrated to 0 during pre-survey procedures, when the top side of the ROV was at the same level as the water surface. The accuracy of the sensor is 0.10 m. ROV attitude (roll, pitch, heading) was measured with an onboard inertial measuring unit (Microstrain) with three axis accelerometer, magnetometer, and gyroscope.
Keyword(s):
ARTofMELT2023; BEAST; Remotely operated vehicle (ROV); Sea ice
Related to:
Anhaus, Philipp; Katlein, Christian; Nicolaus, Marcel (2023): MATLAB processing code for under-ice environment data from a remotely operated vehicle (ROV) during the MOSAiC expedition 2019/2020. Zenodo, https://doi.org/10.5281/ZENODO.7821721
Katlein, Christian; Schiller, Martin; Belter, Hans Jakob; Coppolaro, Veronica; Wenslandt, David; Nicolaus, Marcel (2017): A New Remotely Operated Sensor Platform for Interdisciplinary Observations under Sea Ice. Frontiers in Marine Science, 4, 281, https://doi.org/10.3389/fmars.2017.00281
Coverage:
Latitude: 79.624894 * Longitude: 2.608173
Date/Time Start: 2023-06-07T09:41:16 * Date/Time End: 2023-06-07T14:08:53
Minimum DEPTH, water: 0.3 m * Maximum DEPTH, water: 100.5 m
Event(s):
ARTofMELT2023/1_23-10 * Latitude: 79.624894 * Longitude: 2.608173 * Date/Time Start: 2023-06-07T09:36:00 * Date/Time End: 2023-06-07T14:10:00 * Campaign: ARTofMELT2023 * Basis: Oden * Method/Device: Remote operated vehicle (ROV)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeAnhaus, PhilippGeocode
2Survey IDSurvey IDAnhaus, PhilippSurvey Number
3Distance, relative, XDist rel XmAnhaus, Philipp
4Distance, relative, YDist rel YmAnhaus, Philipp
5Quality flag, positionQF posAnhaus, Philipp
6Time in secondsTimesAnhaus, PhilippTime to closest acoustic fix
7DEPTH, waterDepth watermAnhaus, PhilippPressure sensor, Keller A-21YGeocode
8HeadingHeaddegAnhaus, PhilippInertial measuring unit, Microstrain
9Roll angleRolldegAnhaus, PhilippInertial measuring unit, Microstrain
10Pitch anglePitchdegAnhaus, PhilippInertial measuring unit, Microstrain
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
145032 data points

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