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Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones
Sandy beaches are highly dynamic systems which provide natural protection from the impact of waves to coastal communities. With coastal erosion hazards predicted to increase globally, data to inform decision making on erosion mitigation and adaptation strategies is becoming critical. However, multi-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887256/ https://www.ncbi.nlm.nih.gov/pubmed/33594157 http://dx.doi.org/10.1038/s41598-021-83477-6 |
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author | Pucino, Nicolas Kennedy, David M. Carvalho, Rafael C. Allan, Blake Ierodiaconou, Daniel |
author_facet | Pucino, Nicolas Kennedy, David M. Carvalho, Rafael C. Allan, Blake Ierodiaconou, Daniel |
author_sort | Pucino, Nicolas |
collection | PubMed |
description | Sandy beaches are highly dynamic systems which provide natural protection from the impact of waves to coastal communities. With coastal erosion hazards predicted to increase globally, data to inform decision making on erosion mitigation and adaptation strategies is becoming critical. However, multi-temporal topographic data over wide geographical areas is expensive and time consuming and often requires highly trained professionals. In this study we demonstrate a novel approach combining citizen science with low-cost unmanned aerial vehicles that reliably produces survey-grade morphological data able to model sediment dynamics from event to annual scales. The high-energy wave-dominated coast of south-eastern Australia, in Victoria, is used as a field laboratory to test the reliability of our protocol and develop a set of indices to study multi-scale erosional dynamics. We found that citizen scientists provide unbiased data as accurate as professional researchers. We then observed that open-ocean beaches mobilise three times as much sediment as embayed beaches and distinguished between slowed and accelerated erosional modes. The data was also able to assess the efficiency of sand nourishment for shore protection. Our citizen science protocol provides high quality monitoring capabilities, which although subject to important legislative preconditions, it is applicable in other parts of the world and transferable to other landscape systems where the understanding of sediment dynamics is critical for management of natural or anthropogenic processes. |
format | Online Article Text |
id | pubmed-7887256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78872562021-02-18 Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones Pucino, Nicolas Kennedy, David M. Carvalho, Rafael C. Allan, Blake Ierodiaconou, Daniel Sci Rep Article Sandy beaches are highly dynamic systems which provide natural protection from the impact of waves to coastal communities. With coastal erosion hazards predicted to increase globally, data to inform decision making on erosion mitigation and adaptation strategies is becoming critical. However, multi-temporal topographic data over wide geographical areas is expensive and time consuming and often requires highly trained professionals. In this study we demonstrate a novel approach combining citizen science with low-cost unmanned aerial vehicles that reliably produces survey-grade morphological data able to model sediment dynamics from event to annual scales. The high-energy wave-dominated coast of south-eastern Australia, in Victoria, is used as a field laboratory to test the reliability of our protocol and develop a set of indices to study multi-scale erosional dynamics. We found that citizen scientists provide unbiased data as accurate as professional researchers. We then observed that open-ocean beaches mobilise three times as much sediment as embayed beaches and distinguished between slowed and accelerated erosional modes. The data was also able to assess the efficiency of sand nourishment for shore protection. Our citizen science protocol provides high quality monitoring capabilities, which although subject to important legislative preconditions, it is applicable in other parts of the world and transferable to other landscape systems where the understanding of sediment dynamics is critical for management of natural or anthropogenic processes. Nature Publishing Group UK 2021-02-16 /pmc/articles/PMC7887256/ /pubmed/33594157 http://dx.doi.org/10.1038/s41598-021-83477-6 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pucino, Nicolas Kennedy, David M. Carvalho, Rafael C. Allan, Blake Ierodiaconou, Daniel Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
title | Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
title_full | Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
title_fullStr | Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
title_full_unstemmed | Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
title_short | Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
title_sort | citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887256/ https://www.ncbi.nlm.nih.gov/pubmed/33594157 http://dx.doi.org/10.1038/s41598-021-83477-6 |
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