PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland
Version 1
: Received: 9 February 2024 / Approved: 9 February 2024 / Online: 9 February 2024 (13:29:00 CET)
How to cite:
Nuyts, S.; Farrell, E.; Nash, S.; Fennell, S. Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland. Preprints2024, 2024020565. https://doi.org/10.20944/preprints202402.0565.v1
Nuyts, S.; Farrell, E.; Nash, S.; Fennell, S. Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland. Preprints 2024, 2024020565. https://doi.org/10.20944/preprints202402.0565.v1
Nuyts, S.; Farrell, E.; Nash, S.; Fennell, S. Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland. Preprints2024, 2024020565. https://doi.org/10.20944/preprints202402.0565.v1
APA Style
Nuyts, S., Farrell, E., Nash, S., & Fennell, S. (2024). Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland. Preprints. https://doi.org/10.20944/preprints202402.0565.v1
Chicago/Turabian Style
Nuyts, S., Stephen Nash and Sheena Fennell. 2024 "Investigating the Performance of Timex Intervals for Shoreline Edge Detection: A Sensitivity Analysis from a Low-Cost Coastal Monitoring System in Brandon Bay, Ireland" Preprints. https://doi.org/10.20944/preprints202402.0565.v1
Abstract
Remote video imagery using shoreline edge detection is widely used in coastal monitoring in order to acquire measurements of nearshore and swash processes. Some of these systems have very limited flexibility due to their rigid structures and require considerable investment in hardware. As such, there is a need for an autonomous low-cost system (~€500) that can be rapidly deployed in the field, while still producing the outcomes required for coastal monitoring. This research presents a sensitivity analysis of time-lapse intervals for two low-cost cameras located in a remote coastal area, overlooking a dissipative beach-dune system. The analysis shows that RMSD in the detected shoreline is similar to other studies for intervals ranging between 1 second and 30 seconds (i.e., RMSDmax for Camera 1 = 2.8 m and Camera 2 = 1.3 m). The increase of the sampling interval from 1 s to 30 s is shown to have no significant adverse effect on the precision of shoreline detection. The research found that the limitations of battery life and memory storage substantially decrease when sampling intervals increase without an effect on the data quality. This also has a positive effect for low-cost systems and removes the requirement for external battery and memory storage. On the systems used, the battery life increased from ~10 days to ~100 days when the sampling interval was increased from 1 to 5 s., As such, the current standard of producing Timex images from 1 s sampling intervals over 10 minutes can be changed depending on the application and requirements needed for analysis.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
