Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/98779
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dc.contributor.authorHodgson, J.C.-
dc.contributor.authorBaylis, S.M.-
dc.contributor.authorMott, R.-
dc.contributor.authorHerrod, A.-
dc.contributor.authorClarke, R.H.-
dc.date.issued2016-
dc.identifier.citationScientific Reports, 2016; 6(1):22574-1-22574-7-
dc.identifier.issn2045-2322-
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/2440/98779-
dc.description.abstractUnmanned aerial vehicles (UAVs) represent a new frontier in environmental research. Their use has the potential to revolutionise the field if they prove capable of improving data quality or the ease with which data are collected beyond traditional methods. We apply UAV technology to wildlife monitoring in tropical and polar environments and demonstrate that UAV-derived counts of colony nesting birds are an order of magnitude more precise than traditional ground counts. The increased count precision afforded by UAVs, along with their ability to survey hard-to-reach populations and places, will likely drive many wildlife monitoring projects that rely on population counts to transition from traditional methods to UAV technology. Careful consideration will be required to ensure the coherence of historic data sets with new UAV-derived data and we propose a method for determining the number of duplicated (concurrent UAV and ground counts) sampling points needed to achieve data compatibility.-
dc.description.statementofresponsibilityJarrod C. Hodgson, Shane M. Baylis, Rowan Mott, Ashley Herrod & Rohan H. Clarke-
dc.language.isoen-
dc.publisherNature Publishing Group-
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/-
dc.source.urihttp://dx.doi.org/10.1038/srep22574-
dc.subjectAnimals-
dc.subjectAnimals, Wild-
dc.subjectBirds-
dc.subjectNesting Behavior-
dc.subjectEnvironmental Monitoring-
dc.subjectAircraft-
dc.subjectRemote Sensing Technology-
dc.titlePrecision wildlife monitoring using unmanned aerial vehicles-
dc.typeJournal article-
dc.identifier.doi10.1038/srep22574-
pubs.publication-statusPublished-
dc.identifier.orcidHodgson, J.C. [0000-0003-0481-7360]-
dc.identifier.orcidMott, R. [0000-0002-3508-6479]-
Appears in Collections:Aurora harvest 3
Ecology, Evolution and Landscape Science publications

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