2020
DOI: 10.1139/juvs-2019-0011
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A standardized protocol for reporting methods when using drones for wildlife research

Abstract: Drones are increasingly popular tools for wildlife research, but it is important that the use of these tools does not overshadow reporting of methodological details required for evaluation of study designs. The diversity in drone platforms, sensors, and applications necessitates the reporting of specific details for replication, but there is little guidance available on how to detail drone use in peer-reviewed articles. Here, we present a standardized protocol to assist researchers in reporting of their drone … Show more

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Cited by 51 publications
(40 citation statements)
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“…No flights were conducting in inclement weather or when winds exceeded 32 km/h. Further details about UAV equipment and methods (Barnas et al 2020) can be found in Appendix S1.…”
Section: Methodsmentioning
confidence: 99%
“…No flights were conducting in inclement weather or when winds exceeded 32 km/h. Further details about UAV equipment and methods (Barnas et al 2020) can be found in Appendix S1.…”
Section: Methodsmentioning
confidence: 99%
“…Our dataset consists of a maximum of 20 individual bears with 31 distinct foraging bouts (as some bears foraged more than once in a day) that range from 2.85 to 134 min (mean = 32 min; median = 26 min; range = 131 min). For further details on drone operations, including how we minimized bear disturbance, see the Drone Reporting Protocol [69] in electronic supplementary material. royalsocietypublishing.org/journal/rsos R. Soc.…”
Section: Polar Bear Observationsmentioning
confidence: 99%
“…Unfortunately for some entities drone usage may be periodically restricted, as has been seen while governments navigate cybersecurity issues (e.g., grounding of some United States federal agency drone fleets -U.S. Department of the Interior [USDOI], 2020). While the UAS research community has begun to harmonize methods, standards, procedures, and reporting (Joyce et al, 2018;Barnas et al, 2020), there remains work to be done (Buters et al, 2019). Some key caveats for UAS MER applications are related to image acquisition methods.…”
Section: Caveatsmentioning
confidence: 99%