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Applications of unmanned aerial vehicles in intertidal reef monitoring
Monitoring of intertidal reefs is traditionally undertaken by on-ground survey methods which have assisted in understanding these complex habitats; however, often only a small spatial footprint of the reef is observed. Recent developments in unmanned aerial vehicles (UAVs) provide new opportunities...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579233/ https://www.ncbi.nlm.nih.gov/pubmed/28860645 http://dx.doi.org/10.1038/s41598-017-10818-9 |
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author | Murfitt, Sarah L. Allan, Blake M. Bellgrove, Alecia Rattray, Alex Young, Mary A. Ierodiaconou, Daniel |
author_facet | Murfitt, Sarah L. Allan, Blake M. Bellgrove, Alecia Rattray, Alex Young, Mary A. Ierodiaconou, Daniel |
author_sort | Murfitt, Sarah L. |
collection | PubMed |
description | Monitoring of intertidal reefs is traditionally undertaken by on-ground survey methods which have assisted in understanding these complex habitats; however, often only a small spatial footprint of the reef is observed. Recent developments in unmanned aerial vehicles (UAVs) provide new opportunities for monitoring broad scale coastal ecosystems through the ability to capture centimetre resolution imagery and topographic data not possible with conventional approaches. This study compares UAV remote sensing of intertidal reefs to traditional on-ground monitoring surveys, and investigates the role of UAV derived geomorphological variables in explaining observed intertidal algal and invertebrate assemblages. A multirotor UAV was used to capture <1 cm resolution data from intertidal reefs, with on-ground quadrat surveys of intertidal biotic data for comparison. UAV surveys provided reliable estimates of dominant canopy-forming algae, however, understorey species were obscured and often underestimated. UAV derived geomorphic variables showed elevation and distance to seaward reef edge explained 19.7% and 15.9% of the variation in algal and invertebrate assemblage structure respectively. The findings of this study demonstrate benefits of low-cost UAVs for intertidal monitoring through rapid data collection, full coverage census, identification of dominant canopy habitat and generation of geomorphic derivatives for explaining biological variation. |
format | Online Article Text |
id | pubmed-5579233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55792332017-09-06 Applications of unmanned aerial vehicles in intertidal reef monitoring Murfitt, Sarah L. Allan, Blake M. Bellgrove, Alecia Rattray, Alex Young, Mary A. Ierodiaconou, Daniel Sci Rep Article Monitoring of intertidal reefs is traditionally undertaken by on-ground survey methods which have assisted in understanding these complex habitats; however, often only a small spatial footprint of the reef is observed. Recent developments in unmanned aerial vehicles (UAVs) provide new opportunities for monitoring broad scale coastal ecosystems through the ability to capture centimetre resolution imagery and topographic data not possible with conventional approaches. This study compares UAV remote sensing of intertidal reefs to traditional on-ground monitoring surveys, and investigates the role of UAV derived geomorphological variables in explaining observed intertidal algal and invertebrate assemblages. A multirotor UAV was used to capture <1 cm resolution data from intertidal reefs, with on-ground quadrat surveys of intertidal biotic data for comparison. UAV surveys provided reliable estimates of dominant canopy-forming algae, however, understorey species were obscured and often underestimated. UAV derived geomorphic variables showed elevation and distance to seaward reef edge explained 19.7% and 15.9% of the variation in algal and invertebrate assemblage structure respectively. The findings of this study demonstrate benefits of low-cost UAVs for intertidal monitoring through rapid data collection, full coverage census, identification of dominant canopy habitat and generation of geomorphic derivatives for explaining biological variation. Nature Publishing Group UK 2017-08-31 /pmc/articles/PMC5579233/ /pubmed/28860645 http://dx.doi.org/10.1038/s41598-017-10818-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Murfitt, Sarah L. Allan, Blake M. Bellgrove, Alecia Rattray, Alex Young, Mary A. Ierodiaconou, Daniel Applications of unmanned aerial vehicles in intertidal reef monitoring |
title | Applications of unmanned aerial vehicles in intertidal reef monitoring |
title_full | Applications of unmanned aerial vehicles in intertidal reef monitoring |
title_fullStr | Applications of unmanned aerial vehicles in intertidal reef monitoring |
title_full_unstemmed | Applications of unmanned aerial vehicles in intertidal reef monitoring |
title_short | Applications of unmanned aerial vehicles in intertidal reef monitoring |
title_sort | applications of unmanned aerial vehicles in intertidal reef monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579233/ https://www.ncbi.nlm.nih.gov/pubmed/28860645 http://dx.doi.org/10.1038/s41598-017-10818-9 |
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