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Precision wildlife monitoring using unmanned aerial vehicles
Unmanned 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 monitor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795075/ https://www.ncbi.nlm.nih.gov/pubmed/26986721 http://dx.doi.org/10.1038/srep22574 |
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author | Hodgson, Jarrod C. Baylis, Shane M. Mott, Rowan Herrod, Ashley Clarke, Rohan H. |
author_facet | Hodgson, Jarrod C. Baylis, Shane M. Mott, Rowan Herrod, Ashley Clarke, Rohan H. |
author_sort | Hodgson, Jarrod C. |
collection | PubMed |
description | Unmanned 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. |
format | Online Article Text |
id | pubmed-4795075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47950752016-03-18 Precision wildlife monitoring using unmanned aerial vehicles Hodgson, Jarrod C. Baylis, Shane M. Mott, Rowan Herrod, Ashley Clarke, Rohan H. Sci Rep Article Unmanned 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. Nature Publishing Group 2016-03-17 /pmc/articles/PMC4795075/ /pubmed/26986721 http://dx.doi.org/10.1038/srep22574 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This 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/ |
spellingShingle | Article Hodgson, Jarrod C. Baylis, Shane M. Mott, Rowan Herrod, Ashley Clarke, Rohan H. Precision wildlife monitoring using unmanned aerial vehicles |
title | Precision wildlife monitoring using unmanned aerial vehicles |
title_full | Precision wildlife monitoring using unmanned aerial vehicles |
title_fullStr | Precision wildlife monitoring using unmanned aerial vehicles |
title_full_unstemmed | Precision wildlife monitoring using unmanned aerial vehicles |
title_short | Precision wildlife monitoring using unmanned aerial vehicles |
title_sort | precision wildlife monitoring using unmanned aerial vehicles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795075/ https://www.ncbi.nlm.nih.gov/pubmed/26986721 http://dx.doi.org/10.1038/srep22574 |
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