TY - JOUR
T1 - Citizen science unoccupied aerial vehicles
T2 - A technique for advancing coastal data acquisition for management and research
AU - Ierodiaconou, Daniel
AU - Kennedy, David M.
AU - Pucino, Nicolas
AU - Allan, Blake M.
AU - McCarroll, R. Jak
AU - Ferns, Lawrance W.
AU - Carvalho, Rafael C.
AU - Sorrell, Karina
AU - Leach, Chloe
AU - Young, Mary
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/7/15
Y1 - 2022/7/15
N2 - Coasts are highly dynamic systems. Understanding how they respond to individual storms events and to future climate change is difficult as local boundary conditions determines their evolutionary trajectory. A lack of field data at this local scale therefore limits the ability of managers and researchers to apply existing modelling frameworks to their region of interest to ensure preservation of the natural environment. Data acquisition through low-cost Unoccupied Aerial Vehicles (UAVs) has become a viable means for obtaining high-resolution surveys (cm-scale) on the coast for whole sediment compartments (km-scale). A continued limitation however is the intensive labour costs involved in data acquisition. Here we show the power of Citizen Science in providing high quality, cost-effective data collection, when provided with adequate training and resources along a high-energy, temperate coast in Victoria, Australia. This was conducted through the Victorian Coastal Monitoring Program (VCMP), formed in 2018 as a collaboration between Australian universities and the Victorian State Government. As of 2022, this program covered 28 sites, with over 450 individual surveys taken at 6–8 week intervals. The VCMP has guided and driven significant management actions on the coast from realignment of coastal walking paths for public safety to measuring sand renourishment success. In this paper we (i) present the Citizen Science UAV program methodology, as an example that can be replicated in other jurisdictions, and (ii) illustrate, through a case-study of a sandy beach and rocky cliff, the benefits and precision achievable using our Citizen Science approach. We outline how outputs can be made widely available and applied to coastal management, with the aid of data portals and decision support systems. This data accessibility has been central to our community engagement, enabling citizen scientists to conduct their own bespoke analysis for co-creation of management solutions for their local area. It was also found to be key for facilitating continued community engagement during one of the world's longest lockdowns of the COVID-19 pandemic, impacting the program for almost two years.
AB - Coasts are highly dynamic systems. Understanding how they respond to individual storms events and to future climate change is difficult as local boundary conditions determines their evolutionary trajectory. A lack of field data at this local scale therefore limits the ability of managers and researchers to apply existing modelling frameworks to their region of interest to ensure preservation of the natural environment. Data acquisition through low-cost Unoccupied Aerial Vehicles (UAVs) has become a viable means for obtaining high-resolution surveys (cm-scale) on the coast for whole sediment compartments (km-scale). A continued limitation however is the intensive labour costs involved in data acquisition. Here we show the power of Citizen Science in providing high quality, cost-effective data collection, when provided with adequate training and resources along a high-energy, temperate coast in Victoria, Australia. This was conducted through the Victorian Coastal Monitoring Program (VCMP), formed in 2018 as a collaboration between Australian universities and the Victorian State Government. As of 2022, this program covered 28 sites, with over 450 individual surveys taken at 6–8 week intervals. The VCMP has guided and driven significant management actions on the coast from realignment of coastal walking paths for public safety to measuring sand renourishment success. In this paper we (i) present the Citizen Science UAV program methodology, as an example that can be replicated in other jurisdictions, and (ii) illustrate, through a case-study of a sandy beach and rocky cliff, the benefits and precision achievable using our Citizen Science approach. We outline how outputs can be made widely available and applied to coastal management, with the aid of data portals and decision support systems. This data accessibility has been central to our community engagement, enabling citizen scientists to conduct their own bespoke analysis for co-creation of management solutions for their local area. It was also found to be key for facilitating continued community engagement during one of the world's longest lockdowns of the COVID-19 pandemic, impacting the program for almost two years.
KW - Citizen science
KW - coastal monitoring
KW - Sediment processes
KW - Unoccupied aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85134504844&partnerID=8YFLogxK
U2 - 10.1016/j.csr.2022.104800
DO - 10.1016/j.csr.2022.104800
M3 - Article
AN - SCOPUS:85134504844
SN - 0278-4343
VL - 244
JO - Continental Shelf Research
JF - Continental Shelf Research
M1 - 104800
ER -