Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty
Source at https://doi.org/10.1002/ecs2.2122 . Licensed CC BY-NC-ND 4.0. Unmanned aerial vehicles (UAVs) 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 detectio...
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Ecological Society of America
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Online Access: | https://hdl.handle.net/10037/13494 https://doi.org/10.1002/ecs2.2122 |
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ftunivtroemsoe:oai:munin.uit.no:10037/13494 2023-05-15T14:22:17+02:00 Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty Aniceto, Ana Sofia Biuw, Martin Lindstrøm, Ulf Solbø, Stian Broms, Fredrik Björn Carroll, JoLynn 2018-03-08 https://hdl.handle.net/10037/13494 https://doi.org/10.1002/ecs2.2122 eng eng Ecological Society of America Aniceto, A.S. (2018). Unmanned aerial vehicles for marine mammal surveys in arctic and sub-arctic regions. Doctoral thesis. http://hdl.handle.net/10037/14008 Ecosphere info:eu-repo/grantAgreement/RCN/PETROSENTR/228107/Norway/Research Centre for Arctic Petroleum Exploration/ARCEx/ Aniceto, A.S., Biuw, M., Lindstrøm, U., Solbø, S.A., Broms, F.B. & Carroll, J. (2018). Monitoring marine mammals using unmanned aerial vehicles: Quantifying detection certainty. Ecosphere, 9(3). https://doi.org/10.1002/ecs2.2122 FRIDAID 1582445 doi:10.1002/ecs2.2122 2150-8925 https://hdl.handle.net/10037/13494 openAccess VDP::Teknologi: 500::Marin teknologi: 580::Annen marin teknologi: 589 VDP::Technology: 500::Marine technology: 580::Other marine technology: 589 certainty detection marine mammals survey unmanned aerial vehicles Journal article Tidsskriftartikkel Peer reviewed 2018 ftunivtroemsoe https://doi.org/10.1002/ecs2.2122 2021-06-25T17:56:02Z Source at https://doi.org/10.1002/ecs2.2122 . Licensed CC BY-NC-ND 4.0. Unmanned aerial vehicles (UAVs) 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 UAVs 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 Arctic Northern Norway University of Tromsø: Munin Open Research Archive Arctic Norway Ecosphere 9 3 e02122 |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Teknologi: 500::Marin teknologi: 580::Annen marin teknologi: 589 VDP::Technology: 500::Marine technology: 580::Other marine technology: 589 certainty detection marine mammals survey unmanned aerial vehicles |
spellingShingle |
VDP::Teknologi: 500::Marin teknologi: 580::Annen marin teknologi: 589 VDP::Technology: 500::Marine technology: 580::Other marine technology: 589 certainty detection marine mammals survey unmanned aerial vehicles Aniceto, Ana Sofia Biuw, Martin Lindstrøm, Ulf Solbø, Stian Broms, Fredrik Björn Carroll, JoLynn Monitoring marine mammals using unmanned aerial vehicles: quantifying detection certainty |
topic_facet |
VDP::Teknologi: 500::Marin teknologi: 580::Annen marin teknologi: 589 VDP::Technology: 500::Marine technology: 580::Other marine technology: 589 certainty detection marine mammals survey unmanned aerial vehicles |
description |
Source at https://doi.org/10.1002/ecs2.2122 . Licensed CC BY-NC-ND 4.0. Unmanned aerial vehicles (UAVs) 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 UAVs 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. |
format |
Article in Journal/Newspaper |
author |
Aniceto, Ana Sofia Biuw, Martin Lindstrøm, Ulf Solbø, Stian Broms, Fredrik Björn Carroll, JoLynn |
author_facet |
Aniceto, Ana Sofia Biuw, Martin Lindstrøm, Ulf Solbø, Stian Broms, Fredrik Björn Carroll, JoLynn |
author_sort |
Aniceto, Ana Sofia |
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 |
Ecological Society of America |
publishDate |
2018 |
url |
https://hdl.handle.net/10037/13494 https://doi.org/10.1002/ecs2.2122 |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic Arctic Northern Norway |
genre_facet |
Arctic Arctic Northern Norway |
op_relation |
Aniceto, A.S. (2018). Unmanned aerial vehicles for marine mammal surveys in arctic and sub-arctic regions. Doctoral thesis. http://hdl.handle.net/10037/14008 Ecosphere info:eu-repo/grantAgreement/RCN/PETROSENTR/228107/Norway/Research Centre for Arctic Petroleum Exploration/ARCEx/ Aniceto, A.S., Biuw, M., Lindstrøm, U., Solbø, S.A., Broms, F.B. & Carroll, J. (2018). Monitoring marine mammals using unmanned aerial vehicles: Quantifying detection certainty. Ecosphere, 9(3). https://doi.org/10.1002/ecs2.2122 FRIDAID 1582445 doi:10.1002/ecs2.2122 2150-8925 https://hdl.handle.net/10037/13494 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.1002/ecs2.2122 |
container_title |
Ecosphere |
container_volume |
9 |
container_issue |
3 |
container_start_page |
e02122 |
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1766294914925068288 |