Author response for "Determination of optimal flight altitude to minimise acoustic drone disturbance to wildlife using species audiograms" Article Swipe

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Isla Duporge , Marcus P. Spiegel , Eleanor R. Thomson , Tatiana Chapman , Curt Lamberth , Caroline M. Pond , David W. Macdonald , Tiejun Wang , Holger Klinck ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1111/2041-210x.13691/v2/response1

Amongst the myriad of new Unarmed Aerial Vehicle (UAV) applications, aerial monitoring of wildlife is one of the most disruptive given the ability of noninvasively track animals.However, species such as elephants have been observed to exhibit signs of discomfort around UAVs (even when unseen) thus decreasing the effectiveness of UAVs.These observations suggest that the elephants are alarmed by the noise of the UAVs, however little data exists detailing that noise.By comparing the sound profiles of UAVs to the sound profile of a known annoyance, honeybees, the following research develops a methodology to justify what UAV profiles are better than others for elephant conservation.The proposed methodology details how to capture the sound of UAVs and transform it into comparative measurements.Normalized spectrograms for different UAV profiles were compared to that of honeybees at the bees high frequency range resulting in a relative score per profile under the hypothesis: the higher the score, the less similar the UAV sound is to bees, hence the higher relative effectiveness of that UAV platform for elephant conservation, and in this case UAV 4 (DJI Phantom).By numerically characterizing the sound profiles of UAVs, the proposed data analysis techniques allow for growth of UAV applications.

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Environmental Science

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Audiogram Disturbance (geology) Drone Wildlife Altitude (triangle) Aeronautics Low altitude Geography Environmental science Biology Engineering Ecology Audiology Mathematics Medicine Paleontology Geometry Genetics Hearing loss

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Type: peer-review
Language: en
Landing Page: https://doi.org/10.1111/2041-210x.13691/v2/response1
PDF: https://hal.pratt.duke.edu/sites/hal.pratt.duke.edu/files/u24/Small_UAV_Noise_Analysis_rqi.pdf
OA Status: gold
References: 12
Related Works: 10
OpenAlex ID: https://openalex.org/W3199602454

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DOI: https://doi.org/10.1111/2041-210x.13691/v2/response1

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Title: Author response for "Determination of optimal flight altitude to minimise acoustic drone disturbance to wildlife using species audiograms"

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Type: peer-review

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Language: en

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Publication year: 2021

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Publication date: 2021-05-22

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Authors: Isla Duporge, Marcus P. Spiegel, Eleanor R. Thomson, Tatiana Chapman, Curt Lamberth, Caroline M. Pond, David W. Macdonald, Tiejun Wang, Holger Klinck

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Landing page: https://doi.org/10.1111/2041-210x.13691/v2/response1

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PDF URL: https://hal.pratt.duke.edu/sites/hal.pratt.duke.edu/files/u24/Small_UAV_Noise_Analysis_rqi.pdf

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OA URL: https://hal.pratt.duke.edu/sites/hal.pratt.duke.edu/files/u24/Small_UAV_Noise_Analysis_rqi.pdf

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Concepts: Audiogram, Disturbance (geology), Drone, Wildlife, Altitude (triangle), Aeronautics, Low altitude, Geography, Environmental science, Biology, Engineering, Ecology, Audiology, Mathematics, Medicine, Paleontology, Geometry, Genetics, Hearing loss

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Cited by: 0

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References (count): 12

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Related works (count): 10

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abstract_inverted_index.applications.	196
abstract_inverted_index.conservation,	170
abstract_inverted_index.effectiveness	47, 163
abstract_inverted_index.noninvasively	24
abstract_inverted_index.characterizing	180
abstract_inverted_index.animals.However,	26
abstract_inverted_index.conservation.The	102
abstract_inverted_index.measurements.Normalized	118
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	9
citation_normalized_percentile