ORCID
- T SCOTT: 0000-0002-3357-7485
- G MASSELINK: 0000-0001-6079-7611
- C STOKES: 0000-0003-0684-7790
- D CONLEY: 0000-0001-6822-5386
Document Type
Article
Abstract
Earth observation (EO) coupled with novel image analysis techniques have demonstrated the potential of EO for long-term, local, regional, and even global scale investigations of shoreline change. However, satellite-derived shoreline (SDS) data is associated with large uncertainties relating to environmental factors, tidal range, and wave action among other factors. This contribution investigates the impacts of morphological and hydrodynamic setting on the accuracy of SDS in macrotidal, highenergy coasts. Results revealed significant differences in SDS accuracy between the two morphologically contrasting sites in terms of the level of error and the optimal water level correction. We show that SDS accuracy at macrotidal sites can be greatly improved by applying appropriate water level corrections and that a different approach is required depending on beach type (dissipative/reflective). Accuracy of SDS depends on chosen proxy shoreline and varies with beach type and shoreline translation method. These results suggest the potential of SDS to help with robust and accurate long-term mapping of the shoreline, which is a fundamental requirement for effective coastal management and policy making.
DOI Link
Publication Date
2023-01-01
Event
Coastal Sediments 2023
Publication Title
Coastal Sediments 2023
Deposit Date
2023-05-05
Recommended Citation
KONSTANTINOU, A., SCOTT, T., MASSELINK, G., STOKES, C., CONLEY, D., & CASTELLE, B. (2023) 'Satellite-based Shoreline Detection For Macro-tidal Coasts: Impacts Of Morphological And Hydrodynamic Setting', Coastal Sediments 2023, . Available at: 10.1142/9789811275135_0129
