Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty

Abstract Unmanned aerial vehicles ( UAV s) are increasingly being recognized as potentially useful for detection of marine mammals in their natural habitats, but an important consideration is the associated uncertainties in animal detection. We present a study based on field trials using UAV s to ca...

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Published in:Ecosphere
Main Authors: Aniceto, Ana S., Biuw, Martin, Lindstrøm, Ulf, Solbø, Stian A., Broms, Fredrik, Carroll, JoLynn
Other Authors: Akvaplan-niva, ARCEx
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2018
Subjects:
Online Access:http://dx.doi.org/10.1002/ecs2.2122
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecs2.2122
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.2122
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spelling crwiley:10.1002/ecs2.2122 2024-09-09T19:24:00+00:00 Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty Aniceto, Ana S. Biuw, Martin Lindstrøm, Ulf Solbø, Stian A. Broms, Fredrik Carroll, JoLynn Akvaplan-niva ARCEx 2018 http://dx.doi.org/10.1002/ecs2.2122 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecs2.2122 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.2122 en eng Wiley http://creativecommons.org/licenses/by/3.0/ Ecosphere volume 9, issue 3 ISSN 2150-8925 2150-8925 journal-article 2018 crwiley https://doi.org/10.1002/ecs2.2122 2024-08-27T04:25:56Z Abstract Unmanned aerial vehicles ( UAV s) are increasingly being recognized as potentially useful for detection of marine mammals in their natural habitats, but an important consideration is the associated uncertainties in animal detection. We present a study based on field trials using UAV s to carry out image‐based monitoring of cetaceans in two fjords in northern Norway. We conducted 12 missions to assess the effects of both environmental‐ and aircraft‐related variables on detection certainty. Images were inspected for animal presence and its associated detection certainty. Images were also assessed for potentially important covariates such as wave turbulence (sea state), luminance, and glare. Aircraft variables such as altitude, pitch, and roll were combined into a single variable—pixel size. We recorded a total of 50 humpback whales, 63 killer whales (KW), and 118 unidentified sightings. We also recorded 57 harbor porpoise sightings. None of the environmental conditions (sea state, glare, and luminance) affected the detection certainty of harbor porpoises. In contrast, increasing sea state and luminance had negative and positive effects, respectively, on the detection certainty of humpback and KW. The detection certainty was not significantly affected by pixel size for both harbor porpoises, and humpback and KW. Our results indicate that at lower altitudes, variations in aircraft position (pitch and roll) do not have a variable effect on detection certainty. Overall, this study shows the importance of measuring variability in both environmental and flight‐related variables, in order to attain unbiased estimates of detectability for UAV ‐based marine mammal surveys, particularly in Arctic and sub‐Arctic regions. Article in Journal/Newspaper Arctic Northern Norway Wiley Online Library Arctic Norway Ecosphere 9 3
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Unmanned aerial vehicles ( UAV s) are increasingly being recognized as potentially useful for detection of marine mammals in their natural habitats, but an important consideration is the associated uncertainties in animal detection. We present a study based on field trials using UAV s to carry out image‐based monitoring of cetaceans in two fjords in northern Norway. We conducted 12 missions to assess the effects of both environmental‐ and aircraft‐related variables on detection certainty. Images were inspected for animal presence and its associated detection certainty. Images were also assessed for potentially important covariates such as wave turbulence (sea state), luminance, and glare. Aircraft variables such as altitude, pitch, and roll were combined into a single variable—pixel size. We recorded a total of 50 humpback whales, 63 killer whales (KW), and 118 unidentified sightings. We also recorded 57 harbor porpoise sightings. None of the environmental conditions (sea state, glare, and luminance) affected the detection certainty of harbor porpoises. In contrast, increasing sea state and luminance had negative and positive effects, respectively, on the detection certainty of humpback and KW. The detection certainty was not significantly affected by pixel size for both harbor porpoises, and humpback and KW. Our results indicate that at lower altitudes, variations in aircraft position (pitch and roll) do not have a variable effect on detection certainty. Overall, this study shows the importance of measuring variability in both environmental and flight‐related variables, in order to attain unbiased estimates of detectability for UAV ‐based marine mammal surveys, particularly in Arctic and sub‐Arctic regions.
author2 Akvaplan-niva
ARCEx
format Article in Journal/Newspaper
author Aniceto, Ana S.
Biuw, Martin
Lindstrøm, Ulf
Solbø, Stian A.
Broms, Fredrik
Carroll, JoLynn
spellingShingle Aniceto, Ana S.
Biuw, Martin
Lindstrøm, Ulf
Solbø, Stian A.
Broms, Fredrik
Carroll, JoLynn
Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
author_facet Aniceto, Ana S.
Biuw, Martin
Lindstrøm, Ulf
Solbø, Stian A.
Broms, Fredrik
Carroll, JoLynn
author_sort Aniceto, Ana S.
title Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
title_short Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
title_full Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
title_fullStr Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
title_full_unstemmed Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
title_sort monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
publisher Wiley
publishDate 2018
url http://dx.doi.org/10.1002/ecs2.2122
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecs2.2122
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.2122
geographic Arctic
Norway
geographic_facet Arctic
Norway
genre Arctic
Northern Norway
genre_facet Arctic
Northern Norway
op_source Ecosphere
volume 9, issue 3
ISSN 2150-8925 2150-8925
op_rights http://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.1002/ecs2.2122
container_title Ecosphere
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