4.6 Article

Assessing Seagrass Restoration Actions through a Micro-Bathymetry Survey Approach (Italy, Mediterranean Sea)

期刊

WATER
卷 14, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/w14081285

关键词

Posidonia oceanica; habitat restoration; bathymetry; Structure from Motion; underwater photogrammetry; multibeam; monitoring

资金

  1. MIUR funds [PON_ARS01_00891, CUP B66C18000380005]
  2. European Union-Regional Development Fund [PON_ARS01_00891, CUP B66C18000380005]
  3. Foundation Setec
  4. Office de l'Environnement de la Corse
  5. Office Francais de la biodiversite as part of the RenforC project
  6. [LIFE 17CCM/IT 000121]

向作者/读者索取更多资源

Underwater photogrammetry provides high-resolution 3D models for monitoring ecological recovery actions, such as seagrass restoration. The study showed that using high-resolution multibeam bathymetry soundings and a 3D trilateration technique can improve the accuracy of the models and orthomosaics.
Underwater photogrammetry provides a means of generating high-resolution products such as dense point clouds, 3D models, and orthomosaics with centimetric scale resolutions. Underwater photogrammetric models can be used to monitor the growth and expansion of benthic communities, including the assessment of the conservation status of seagrass beds and their change over time (time lapse micro-bathymetry) with OBIA classifications (Object-Based Image Analysis). However, one of the most complex aspects of underwater photogrammetry is the accuracy of the 3D models for both the horizontal and vertical components used to estimate the surfaces and volumes of biomass. In this study, a photogrammetry-based micro-bathymetry approach was applied to monitor Posidonia oceanica restoration actions. A procedure for rectifying both the horizontal and vertical elevation data was developed using soundings from high-resolution multibeam bathymetry. Furthermore, a 3D trilateration technique was also tested to collect Ground Control Points (GCPs) together with reference scale bars, both used to estimate the accuracy of the models and orthomosaics. The root mean square error (RMSE) value obtained for the horizontal planimetric measurements was 0.05 m, while the RMSE value for the depth was 0.11 m. Underwater photogrammetry, if properly applied, can provide very high-resolution and accurate models for monitoring seagrass restoration actions for ecological recovery and can be useful for other research purposes in geological and environmental monitoring.

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