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• W2891799647 abstract "Drone 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 management" @default.
• W2891799647 created "2018-09-27" @default.
• W2891799647 creator A5010349584 @default.
• W2891799647 creator A5030729455 @default.
• W2891799647 date "2018-01-01" @default.
• W2891799647 modified "2023-10-14" @default.
• W2891799647 title "Adapting open-source drone autopilots for real-time iceberg observations" @default.
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• W2891799647 doi "https://doi.org/10.1016/j.mex.2018.09.003" @default.
• W2891799647 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6139390" @default.
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• W2891799647 hasPublicationYear "2018" @default.
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