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dc.contributor.authorCarlson, Daniel F.
dc.contributor.authorRysgaarda, Søren
dc.coverage.spatialArctic Regionen_US
dc.date.accessioned2021-03-21T21:14:09Z
dc.date.available2021-03-21T21:14:09Z
dc.date.issued2018
dc.identifier.citationCarlson, D.F. and Rysgaard, S. (2018) Adapting open-source drone autopilots for real-time iceberg observations, MethodsX, 5, pp.1059-1072. DOI: https://doi.org/10.1016/j.mex.2018.09.003.en_US
dc.identifier.urihttp://hdl.handle.net/11329/1528
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-1026
dc.description.abstractDrone autopilots are naturally suited for real-time iceberg tracking as they measure position and orientation (pitch, roll, and heading) and they transmit these data to a ground station. We powered an ArduPilot Mega (APM) 2.6 with a 5V 11 Ah lithium ion battery (a smartphone power bank), placed the APM and battery in a waterproof sportsman’s box, and tossed the box and its contents by hand onto an 80 m-long iceberg from an 8 m boat. The data stream could be viewed on a laptop, which greatly enhanced safety while collecting conductivity/ temperature/depth (CTD) profiles from the small boat in the iceberg’s vicinity. The 10 s position data allowed us to compute the distance of each CTD profile to the iceberg, which is necessary to determine if a given CTD profile was collected within the iceberg’s meltwater plume. The APM position data greatly reduced position uncertainty when compared to 5 min position data obtained from a Spot Trace unit. The APM functioned for over 10 h without depleting the battery. We describe the specific hardware used and the software settings necessary to use the APM as a real-time iceberg tracker. Furthermore, the methods described here apply to all Ardupilot-compatible autopilots. Given the low cost ($90) and ease of use, drone autopilots like the APM should be included as another tool for studying iceberg motion and for enhancing safety of marine operations. - Commercial off-the-shelf iceberg trackers are typically configured to record positions over relatively long intervals (months to years) and are not well-suited for short-term (hours to few days), high-frequency monitoring - Drone autopilots are cheap and provide high-frequency (>1 Hz) and real-time information about iceberg drift and orientation - Drone autopilots and ground control software can be easily adapted to studies of iceberg-ocean interactions and operational iceberg managementen_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherDroneen_US
dc.subject.otherIceberg trackingen_US
dc.subject.otherIceberg driften_US
dc.titleAdapting open-source drone autopilots for real-time iceberg observations.en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerangepp.1059–1072en_US
dc.identifier.doihttps://doi.org/10.1016/j.mex.2018.09.003
dc.bibliographicCitation.titleMethodsXen_US
dc.bibliographicCitation.volume5en_US
dc.description.sdg14.Aen_US
dc.description.eovSea iceen_US
dc.description.maturitylevelTRL 7 System prototyping demonstration in an operational environment (ground or space)en_US
dc.description.bptypeManual (incl. handbook, guide, cookbook etc)en_US
obps.contact.contactnameDaniel F. Carlson
obps.contact.contactemaildanfcarlson@bios.au.dk
obps.resourceurl.publisherhttps://www.sciencedirect.com/science/article/pii/S2215016118301456?via%3Dihuben_US


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International