Russo Francesca, Del Pizzo Silvio, Di Ciaccio Fabiana, Troisi Salvatore
International PhD Programme, UNESCO Chair "Environment, Resources and Sustainable Development", Department of Science and Technology, Parthenope University of Naples, 80143 Naples, Italy.
Prisma S.r.l, 80065 Sant'Agnello, NA, Italy.
J Imaging. 2023 May 31;9(6):113. doi: 10.3390/jimaging9060113.
The meadows represent a fundamental biological indicator for the assessment of the marine ecosystem's state of health. They also play an essential role in the conservation of coastal morphology. The composition, extent, and structure of the meadows are conditioned by the biological characteristics of the plant itself and by the environmental setting, considering the type and nature of the substrate, the geomorphology of the seabed, the hydrodynamics, the depth, the light availability, the sedimentation speed, etc. In this work, we present a methodology for the effective monitoring and mapping of the meadows by means of underwater photogrammetry. To reduce the effect of environmental factors on the underwater images (e.g., the bluish or greenish effects), the workflow is enhanced through the application of two different algorithms. The 3D point cloud obtained using the restored images allowed for a better categorization of a wider area than the one made using the original image elaboration. Therefore, this work aims at presenting a photogrammetric approach for the rapid and reliable characterization of the seabed, with particular reference to the Posidonia coverage.
海草草甸是评估海洋生态系统健康状况的一项基本生物学指标。它们在保护海岸地貌方面也发挥着重要作用。海草草甸的组成、范围和结构受植物本身的生物学特性以及环境因素的制约，其中包括基质的类型和性质、海床地貌、水动力、深度、光照条件、沉积速度等。在这项工作中，我们提出了一种利用水下摄影测量法对海草草甸进行有效监测和绘图的方法。为了减少环境因素对水下图像的影响（如蓝色或绿色效应），通过应用两种不同的算法对工作流程进行了优化。使用恢复后的图像获得的三维点云能够比使用原始图像处理方法对更广泛的区域进行更好的分类。因此，这项工作旨在提出一种摄影测量方法，用于快速、可靠地表征海床，特别是关于波喜荡草的覆盖情况。
