Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys

There are many advantages to transitioning from conducting marine wildlife surveys via human observers onboard light-aircraft, to capturing aerial imagery using drones. However, it is important to maintain the validity of long-term data series whilst transitioning from observer to imagery surveys. W...

Full description

Bibliographic Details
Published in:PeerJ
Main Authors: Hodgson, Amanda J., Kelly, Nat, Peel, David
Format: Text
Language:unknown
Published: Edith Cowan University, Research Online, Perth, Western Australia 2023
Subjects:
UAV
Online Access:https://ro.ecu.edu.au/ecuworks2022-2026/3295
https://doi.org/10.7717/peerj.16186
https://ro.ecu.edu.au/context/ecuworks2022-2026/article/4296/viewcontent/Drone_20images_20afford_20more_20detections_20of_20marine_20wildlife_20than_20real_time.pdf
id ftedithcowan:oai:ro.ecu.edu.au:ecuworks2022-2026-4296
record_format openpolar
spelling ftedithcowan:oai:ro.ecu.edu.au:ecuworks2022-2026-4296 2024-01-14T10:05:48+01:00 Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys Hodgson, Amanda J. Kelly, Nat Peel, David 2023-01-01T08:00:00Z application/pdf https://ro.ecu.edu.au/ecuworks2022-2026/3295 https://doi.org/10.7717/peerj.16186 https://ro.ecu.edu.au/context/ecuworks2022-2026/article/4296/viewcontent/Drone_20images_20afford_20more_20detections_20of_20marine_20wildlife_20than_20real_time.pdf unknown Edith Cowan University, Research Online, Perth, Western Australia https://ro.ecu.edu.au/ecuworks2022-2026/3295 doi:10.7717/peerj.16186 https://ro.ecu.edu.au/context/ecuworks2022-2026/article/4296/viewcontent/Drone_20images_20afford_20more_20detections_20of_20marine_20wildlife_20than_20real_time.pdf http://creativecommons.org/licenses/by/4.0/ Research outputs 2022 to 2026 Drone UAV unoccupied aerial system Dugong aerial survey imagery abundance detection probability environmental covariates aerial photography Environmental Sciences Life Sciences Marine Biology Physical Sciences and Mathematics text 2023 ftedithcowan https://doi.org/10.7717/peerj.16186 2023-12-16T23:45:45Z There are many advantages to transitioning from conducting marine wildlife surveys via human observers onboard light-aircraft, to capturing aerial imagery using drones. However, it is important to maintain the validity of long-term data series whilst transitioning from observer to imagery surveys. We need to understand how the detection rates of target species in images compare to those collected from observers in piloted aircraft, and the factors influencing detection rates from each platform. We conducted trial ScanEagle drone surveys of dugongs in Shark Bay, Western Australia, covering the full extent of the drone’s range (∼100 km), concurrently with observer surveys, with the drone flying above or just behind the piloted aircraft. We aimed to test the assumption that drone imagery could provide comparable detection rates of dugongs to human observers when influenced by same environmental conditions. Overall, the dugong sighting rate (i.e., count of individual dugongs) was 1.3 (95% CI [0.98–1.84]) times higher from the drone images than from the observers. The group sighting rate was similar for the two platforms, however the group sizes detected within the drone images were significantly larger than those recorded by the observers, which explained the overall difference in sighting rates. Cloud cover appeared to be the only covariate affecting the two platforms differently; the incidence of cloud cover resulted in smaller group sizes being detected by both platforms, but the observer group sizes dropped much more dramatically (by 71% (95% CI [31–88]) compared to no cloud) than the group sizes detected in the drone images (14% (95% CI [−28–57])). Water visibility and the Beaufort sea state also affected dugong counts and group sizes, but in the same way for both platforms. This is the first direct simultaneous comparison between sightings from observers in piloted aircraft and a drone and demonstrates the potential for drone surveys over a large spatial-scale. Text Beaufort Sea Edith Cowan University (ECU, Australia): Research Online PeerJ 11 e16186
institution Open Polar
collection Edith Cowan University (ECU, Australia): Research Online
op_collection_id ftedithcowan
language unknown
topic Drone
UAV
unoccupied aerial system
Dugong
aerial survey
imagery
abundance
detection probability
environmental covariates
aerial photography
Environmental Sciences
Life Sciences
Marine Biology
Physical Sciences and Mathematics
spellingShingle Drone
UAV
unoccupied aerial system
Dugong
aerial survey
imagery
abundance
detection probability
environmental covariates
aerial photography
Environmental Sciences
Life Sciences
Marine Biology
Physical Sciences and Mathematics
Hodgson, Amanda J.
Kelly, Nat
Peel, David
Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
topic_facet Drone
UAV
unoccupied aerial system
Dugong
aerial survey
imagery
abundance
detection probability
environmental covariates
aerial photography
Environmental Sciences
Life Sciences
Marine Biology
Physical Sciences and Mathematics
description There are many advantages to transitioning from conducting marine wildlife surveys via human observers onboard light-aircraft, to capturing aerial imagery using drones. However, it is important to maintain the validity of long-term data series whilst transitioning from observer to imagery surveys. We need to understand how the detection rates of target species in images compare to those collected from observers in piloted aircraft, and the factors influencing detection rates from each platform. We conducted trial ScanEagle drone surveys of dugongs in Shark Bay, Western Australia, covering the full extent of the drone’s range (∼100 km), concurrently with observer surveys, with the drone flying above or just behind the piloted aircraft. We aimed to test the assumption that drone imagery could provide comparable detection rates of dugongs to human observers when influenced by same environmental conditions. Overall, the dugong sighting rate (i.e., count of individual dugongs) was 1.3 (95% CI [0.98–1.84]) times higher from the drone images than from the observers. The group sighting rate was similar for the two platforms, however the group sizes detected within the drone images were significantly larger than those recorded by the observers, which explained the overall difference in sighting rates. Cloud cover appeared to be the only covariate affecting the two platforms differently; the incidence of cloud cover resulted in smaller group sizes being detected by both platforms, but the observer group sizes dropped much more dramatically (by 71% (95% CI [31–88]) compared to no cloud) than the group sizes detected in the drone images (14% (95% CI [−28–57])). Water visibility and the Beaufort sea state also affected dugong counts and group sizes, but in the same way for both platforms. This is the first direct simultaneous comparison between sightings from observers in piloted aircraft and a drone and demonstrates the potential for drone surveys over a large spatial-scale.
format Text
author Hodgson, Amanda J.
Kelly, Nat
Peel, David
author_facet Hodgson, Amanda J.
Kelly, Nat
Peel, David
author_sort Hodgson, Amanda J.
title Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
title_short Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
title_full Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
title_fullStr Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
title_full_unstemmed Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
title_sort drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys
publisher Edith Cowan University, Research Online, Perth, Western Australia
publishDate 2023
url https://ro.ecu.edu.au/ecuworks2022-2026/3295
https://doi.org/10.7717/peerj.16186
https://ro.ecu.edu.au/context/ecuworks2022-2026/article/4296/viewcontent/Drone_20images_20afford_20more_20detections_20of_20marine_20wildlife_20than_20real_time.pdf
genre Beaufort Sea
genre_facet Beaufort Sea
op_source Research outputs 2022 to 2026
op_relation https://ro.ecu.edu.au/ecuworks2022-2026/3295
doi:10.7717/peerj.16186
https://ro.ecu.edu.au/context/ecuworks2022-2026/article/4296/viewcontent/Drone_20images_20afford_20more_20detections_20of_20marine_20wildlife_20than_20real_time.pdf
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.7717/peerj.16186
container_title PeerJ
container_volume 11
container_start_page e16186
_version_ 1788060115643924480