Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones

Abstract 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. Howeve...

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Autores principales:	Nicolas Pucino, David M. Kennedy, Rafael C. Carvalho, Blake Allan, Daniel Ierodiaconou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/97678ef775194c309ce0c935a8a0feb2
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spelling	oai:doaj.org-article:97678ef775194c309ce0c935a8a0feb22021-12-02T10:54:14ZCitizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones10.1038/s41598-021-83477-62045-2322https://doaj.org/article/97678ef775194c309ce0c935a8a0feb22021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83477-6https://doaj.org/toc/2045-2322Abstract 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.Nicolas PucinoDavid M. KennedyRafael C. CarvalhoBlake AllanDaniel IerodiaconouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nicolas Pucino David M. Kennedy Rafael C. Carvalho Blake Allan Daniel Ierodiaconou Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones
description	Abstract 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	article
author	Nicolas Pucino David M. Kennedy Rafael C. Carvalho Blake Allan Daniel Ierodiaconou
author_facet	Nicolas Pucino David M. Kennedy Rafael C. Carvalho Blake Allan Daniel Ierodiaconou
author_sort	Nicolas Pucino
title	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_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_sort	citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/97678ef775194c309ce0c935a8a0feb2
work_keys_str_mv	AT nicolaspucino citizenscienceformonitoringseasonalscalebeacherosionandbehaviourwithaerialdrones AT davidmkennedy citizenscienceformonitoringseasonalscalebeacherosionandbehaviourwithaerialdrones AT rafaelccarvalho citizenscienceformonitoringseasonalscalebeacherosionandbehaviourwithaerialdrones AT blakeallan citizenscienceformonitoringseasonalscalebeacherosionandbehaviourwithaerialdrones AT danielierodiaconou citizenscienceformonitoringseasonalscalebeacherosionandbehaviourwithaerialdrones
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Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones

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