Using UAVs to Monitor the Evolution of Restored Coastal Dunes
In this paper, an innovative method consisting of the construction of an artificial dune reinforced with a composite made by combining sand and seagrass wrack is presented. The performance of this reinforced dune is compared with sand-only dunes, built at the same time, through data collected during 17 field campaigns (covering a period of one year) carried out with an unmanned aerial vehicle (UAV), whose images allow digital elevation models (DEMs) to be built. The results show that, in the medium term, while the sand-only dunes lose much of their volume (up to 25% of the refilled sediment), the reinforced dune only reduces its volume by around 1.4%. In addition, the cross-shore and longitudinal profiles extracted from the DEMs of the dunes indicate that sand-only dunes greatly reduce the elevation of their crests, while the profile of the reinforced dune remains almost unchanged. This suggests that the addition of seagrass wrack can greatly contribute to increasing the resilience of restored dunes and the time between re-fillings, therefore reducing beach protection costs. However, as the results are based on a single wrack–sand dune and have not been replicated, they should be treated with caution. At the same time, this work illustrates how UAVs can acquire the data needed to map coastal restoration works in a fast and economical way.
Authors
- Vicente Gràcia (ORCID: https://orcid.org/0000-0002-4628-426X)
- César Mösso Aranda (ORCID: https://orcid.org/0000-0003-2598-1864)
- Antoni Espanya
- Joan Pau Sierra (ORCID: https://orcid.org/0000-0003-0814-1134)
- Agustín Sánchez‐Arcilla (ORCID: https://orcid.org/0000-0002-3450-6697)
- Francisco P. J. Valero (ORCID: https://orcid.org/0000-0002-2095-4974)
- Margaret M. Dietrich (ORCID: https://orcid.org/0009-0005-0509-5074)
Institutions
- Barcelona Centre for International Affairs (ES)
- Yale University (US)
- Observatori de l'Ebre (ES)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-09-23
- DOI
- https://doi.org/10.3390/rs17193263
- Citations
- 1
- Primary Topic
- Aeolian processes and effects
- Type
- article
- Field-Weighted Citation Impact
- 1.67
Funders
- Ministerio de Ciencia, Innovación y Universidades
- European Commission