4.2 Article

Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing Surfcam Infrastructure

Journal

JOURNAL OF COASTAL RESEARCH
Volume 32, Issue 3, Pages 542-554

Publisher

COASTAL EDUCATION & RESEARCH FOUNDATION
DOI: 10.2112/JCOASTRES-D-14-00090.1

Keywords

Coastal imaging; beach monitoring; coastal management

Funding

  1. Australian Research Council [LP100200348]
  2. University of Plymouth
  3. Macquarie University
  4. NSW Office of Environment and Heritage (OEH)
  5. CoastalCOMS
  6. Warringah Council
  7. Gosford City Council
  8. Faculty of Engineering UNSW Women in Engineering Research Scholarship
  9. Australian Research Council [LP100200348] Funding Source: Australian Research Council

Ask authors/readers for more resources

This paper investigates the opportunistic repurposing of existing low-elevation recreational surf cameras (surfcams) to provide quantitative shoreline position data. Shoreline data are of fundamental importance in coastal management; however, intensive effort is required to routinely sample this dynamic environmental parameter. Established (and generally research-oriented) coastal imaging systems provide shoreline data in higher temporal resolution across broader spatial scales than is achievable by traditional survey techniques. The key benefits of adopting surfcams for shoreline monitoring are the wide availability of existing stations and their relatively low cost. In addition to the known challenges of optical remote sensing, there are further constraints associated with the typically low elevations of surfcams (9 to 22 m in this study) and the common use of dynamic pan-tilt-zoom positioning. This study used surfcams at nine diverse sites along the SE Australian coastline. Surfcam-derived shorelines were evaluated against monthly real time kinematic global navigation satellite system (RTK-GNSS) surveys. Standard deviations (SDs) of error of 4 to 14 m (horizontal) were observed in data provided by the commercial surfcam operator. After consideration of image geometry, camera stability, shoreline visibility, and shoreline elevation, SDs of error within 1 to 4 m were achieved. At one site, daily surfcam-derived shorelines were evaluated against video-derived shorelines obtained by a state-of-the-art Argus coastal imaging system. Data provided by the surfcam operator had a SD of error of 6 m (horizontal) when compared to the Argus-derived shoreline dataset, and improved methodology reduced this to below 2 m. Generic methods for identifying and addressing issues resulting from surfcam movement and low viewing angle of the beach are presented, as well as data processing options and recommendations for the potential wider adoption of this largely untapped coastal monitoring resource.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Geography, Physical

Wave shadow zones as a primary control of storm erosion and recovery on embayed beaches

Thomas E. Fellowes, Ana Vila-Concejo, Shari L. Gallop, Mitchell D. Harley, Andrew D. Short

Summary: This study uses a geometric approach to predict the impact of headlands on beach morphodynamics and finds that storm frequency, headland shadowing, and embayment geometry control the alongshore magnitude of beach erosion and recovery rates.

GEOMORPHOLOGY (2022)

Article Engineering, Civil

Sensitivity of a one-line longshore shoreline change model to the mean wave direction

T. Chataigner, M. L. Yates, N. Le Dantec, M. D. Harley, K. D. Splinter, N. Goutal

Summary: The sensitivity of a one-line longshore shoreline change model to incident wave direction was evaluated, with corrections made to accurately reproduce shoreline planform shape by adjusting wave angle bias. The study also investigated the model's sensitivity to errors in mean wave direction, highlighting the importance of considering uncertainties in wave model estimates when simulating longshore coastline changes.

COASTAL ENGINEERING (2022)

Article Computer Science, Interdisciplinary Applications

A multi-model ensemble approach to coastal storm erosion prediction

Joshua A. Simmons, Kristen D. Splinter

Summary: This study used four different models to predict storm-driven coastal erosion and tested their skill and error distributions. The machine learning model showed the best overall skill, while the weighted ensemble approach performed well in predicting large events.

ENVIRONMENTAL MODELLING & SOFTWARE (2022)

Article Oceanography

Australian beach systems: Are they at risk to climate change?

Andrew D. Short

Summary: This paper reviews the behavior and status of Australian beach systems, predicting their response to future climate change impacts. While the 2021 IPCC AR6 report suggests a general recession of most Australian beaches by 2100, field data and satellite mapping indicate that 78% of Australia's beaches have been stable in the past few decades. The paper emphasizes the importance of studying and predicting beach behavior at a local level and suggests a sediment compartment approach for accurate predictions.

OCEAN & COASTAL MANAGEMENT (2022)

Article Oceanography

Creating communities and communicating science during COVID-19: From Coast2Coast to Coast2Cast

Ana Vila-Concejo, Kristen D. Splinter, Mitchell D. Harley, Ryan Lowe, Thomas E. Fellowes, R. Jak McCarroll, Giovanni Coco

Summary: The global COVID-19 pandemic has led many countries to lockdown and travel restrictions since early 2020, but activities like Zoom seminars and podcast series have still allowed researchers to share scientific findings and build community connections.

CONTINENTAL SHELF RESEARCH (2022)

Article Oceanography

?Coastal Management Guide-Managing Coastal Erosion?: A STEM education resource for secondary school teachers

Ian L. Turner, Mitchell D. Harley, David J. Hanslow, Michael A. Kinsela, Kristen D. Splinter

Summary: This passage discusses the experiences of coastal researchers in creating an educational resource for secondary school students, highlighting key lessons learned: 1. Seek the help of curriculum experts and STEM content creators; 2. Recognize the potential reach across a broad range of school curriculum areas; 3. Consider the audience and practical needs of teachers; 4. Provide downloadable resources for teachers' convenience; 5. Seek feedback from users to improve and generate new ideas for future versions.

CONTINENTAL SHELF RESEARCH (2022)

Article Computer Science, Interdisciplinary Applications

A Python toolkit to monitor sandy shoreline change using high-resolution PlanetScope cubesats

Yarran Doherty, Mitchell D. Harley, Kilian Vos, Kristen D. Splinter

Summary: This study evaluates the use of PlanetScope cubesats for monitoring coastal change with high spatial and temporal resolution. A new toolkit called CoastSat.PlanetScope is introduced for shoreline mapping using PlanetScope imagery. The toolkit includes image coregistration, segmentation, thresholding, shoreline detection, and elevation correction. The study demonstrates an optimal shoreline accuracy of 3.5 meters for the tested coastline using specific indices and thresholding techniques. A generic elevation correction model considering tidal variability and wave setup is proposed. The study highlights the potential of using PlanetScope imagery for enhanced coastline mapping and its complementarity with existing approaches.

ENVIRONMENTAL MODELLING & SOFTWARE (2022)

Article Engineering, Marine

Dynamic Motions of Piled Floating Pontoons Due to Boat Wake and Their Impact on Postural Stability and Safety

Elizabeth L. Freeman, Kristen D. Splinter, Ron J. Cox, Francois Flocard

Summary: Floating pontoons play an important role in connecting land and sea, but there is limited data available to inform their design in terms of dynamic motion and the impact on public comfort and safety. This study conducted laboratory experiments on two types of piled floating pontoons, revealing that the motion response is dependent on the beam-to-wavelength ratio and the internal mass of the pontoon. The results showed that the interaction between the piles and the pontoon can lead to acceleration peaks more than six times the safe limit, as well as significant angles of rotation. These findings suggest that patrons standing on these pontoons may experience discomfort and instability.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)

Article Geosciences, Multidisciplinary

New Perspectives for Nonlinear Depth-Inversion of the Nearshore Using Boussinesq Theory

Kevin Martins, Philippe Bonneton, Olivier de Viron, Ian L. Turner, Mitchel D. Harley, Kristen Splinter

Summary: Accurately mapping the changing underwater topography in wave-breaking areas is challenging but crucial for understanding sandy beach morphodynamics. Existing linear depth-inversion algorithms face theoretical and/or technical issues in the surf zone, limiting their accuracy. In this study, we propose a new depth-inversion approach based on Boussinesq theory, which quantifies nonlinear dispersion effects in nearshore waves. Experimental results show that this approach significantly improves accuracy in the surf zone, making it a promising method for practical applications using remote sensing technologies.

GEOPHYSICAL RESEARCH LETTERS (2023)

Article Geosciences, Multidisciplinary

Pacific shoreline erosion and accretion patterns controlled by El Nino/Southern Oscillation

Kilian Vos, Mitchell D. D. Harley, Ian L. L. Turner, Kristen D. D. Splinter

Summary: Analysis of satellite imagery covering over 8,300 km of sandy coastline reveals that the El Nino/Southern Oscillation drives coherent patterns of beach erosion and accretion around the Pacific Rim. Approximately one-third of all transects experience significant erosion during El Nino phases, while approximately one-quarter of all transects experience significant accretion during La Nina events.

NATURE GEOSCIENCE (2023)

Article Geosciences, Multidisciplinary

Beach-face slope dataset for Australia

Kilian Vos, Wen Deng, Mitchell Dean Harley, Ian Lloyd Turner, Kristen Dena Marie Splinter

Summary: Sandy beaches undergo constant reshaping by waves, tides, currents, and winds. The beach face, the area between land and ocean, is crucial for coastal processes such as wave energy dissipation and sediment exchange. However, datasets of beach-face slopes remain unavailable for most coastlines worldwide. This study introduces a new dataset for the Australian coastline, derived from remote sensing, which provides beach-face slope estimates and confidence measures. The dataset offers valuable information for predicting coastal hazards in Australia.

EARTH SYSTEM SCIENCE DATA (2022)

No Data Available