Ventura Daniele, Castoro Luca, Mancini Gianluca, Casoli Edoardo, Pace Daniela Silvia, Belluscio Andrea, Ardizzone Giandomenico
Department of Environmental Biology, University of Rome 'La Sapienza' - V. le dell'Università 32, Rome 00185, Italy.
Department of Engineering, Roma Tre University - Via della Vasca Navale, Roma 79-00146, Italy.
Data Brief. 2021 Dec 22;40:107735. doi: 10.1016/j.dib.2021.107735. eCollection 2022 Feb.
These datasets derived from our mapping protocol are presented as a research article in the Journal of Environmental Management [1]. In particular, by using a Structure from Motion photogrammetric workflow we produced high spatial resolution 2D raster maps and 3D outputs such as dense points clouds and textured meshes of an underwater seagrass restoration site. In this area transplanted fragments of Posidonia oceanica were planted to restore this impacted site after the Costa Concordia shipwrecking which occurred on 13 January 2012 along the NE coast of Giglio Island (Tuscany, Italy). Photogrammetric outputs were used to render the underwater environment by using the open-source software Blender allowing a fine 3D modelling and immersive visualization of the mapped area. This data other than providing an exceptional tool for analysing the benthic habitats from a biological point of view, following over time the progress transplanting operations, might also provide a new way to visualize and share the perception of such underwater shallow environments to a large plethora of users, increasing the public awareness on restoration programmes and promoting new action aimed at restored underwater habitats restoration.
这些源自我们测绘协议的数据集在《环境管理杂志》[1]上作为一篇研究文章发表。具体而言，通过使用运动结构摄影测量工作流程，我们生成了高空间分辨率的二维栅格地图以及三维输出，如水下海草恢复场地的密集点云图和纹理网格图。在该区域，2012年1月13日“科斯塔·康科迪亚”号邮轮在意大利托斯卡纳大区吉利奥岛东北海岸搁浅后，移植了大洋海神草的片段以恢复这片受影响的场地。摄影测量输出结果通过开源软件Blender用于呈现水下环境，从而实现对测绘区域的精细三维建模和沉浸式可视化。这些数据除了提供一个从生物学角度分析底栖生境、长期跟踪移植操作进展的卓越工具外，还可能为向大量用户可视化和分享对这种水下浅水环境的认知提供一种新方式，提高公众对恢复计划的认识，并推动旨在恢复水下栖息地的新行动。
