Experimentally determining optimal conditions for mapping forage fish with RPAS

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dc.contributor.authorHoutman, Nicola R.
dc.contributor.authorYakimishyn, Jennifer
dc.contributor.authorCollyer, Mike
dc.contributor.authorSutherst, Jennifer
dc.contributor.authorRobinson, Cliff L. K.
dc.contributor.authorCosta, Maycira
dc.date.accessioned2023-01-26T19:32:06Z
dc.date.available2023-01-26T19:32:06Z
dc.date.copyright2022en_US
dc.date.issued2022
dc.description.abstractRPAS (Remotely piloted aircraft systems, i.e., drones) present an efficient method for mapping schooling coastal forage fish species that have limited distribution and abundance data. However, RPAS imagery acquisition in marine environments is highly dependent on suitable environmental conditions. Additionally, the size, color and depth of forage fish schools will impact their detectability in RPAS imagery. In this study, we identified optimal and suboptimal coastal environmental conditions through a controlled experiment using a model fish school containing four forage fish-like fishing lures. The school was placed at 0.5 m, 1.0 m, 1.5 m, and 2.0 m depths in a wide range of coastal conditions and then we captured RPAS video imagery. The results from a cluster analysis, principal components, and correlation analysis of RPAS data found that the optimal conditions consisted of moderate sun altitudes (20–40°), glassy seas, low winds (<5 km/h), clear skies (<10% cloud cover), and low turbidity. The environmental conditions identified in this study will provide researchers using RPAS with the best criteria for detecting coastal forage fish schools.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis research was funded by Comox Valley Project Watershed Society (BC Salmon Restoration and Innovation Fund), Parks Canada (Southern Resident Killer Whale research project), and the Costa NSERC Discover Grant.en_US
dc.identifier.citationHoutman, N. R., Yakimishyn, J., Collyer, M., Sutherst, J., Robinson, C. L. K., & Costa, M. (2022). “Experimentally determining optimal conditions for mapping forage fish with RPAS.” Drones, 6(12), 426. https://doi.org/10.3390/drones6120426en_US
dc.identifier.urihttps://doi.org/10.3390/drones6120426
dc.identifier.urihttp://hdl.handle.net/1828/14696
dc.language.isoenen_US
dc.publisherDronesen_US
dc.subjectRPASen_US
dc.subjectforage fishen_US
dc.subjectmarine aerial surveyen_US
dc.subjectenvironmental conditionsen_US
dc.subjectUASen_US
dc.subjectUAVen_US
dc.titleExperimentally determining optimal conditions for mapping forage fish with RPASen_US
dc.typeArticleen_US

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