In this paper we present the seabed maps of the shallow-water areas of Lampedusa and Linosa, belonging to the Pelagie Islands Marine Protected Area. Two surveys were carried out (“Lampedusa 2015” and “Linosa 2016”) to collect bathymetric and acoustic backscatter data through the use of a Reson SeaBat 7125 high-resolution multibeam system. Ground-truth data, in the form of grab samples and diver video-observations, were also collected during both surveys. Sediment samples were analyzed for grain size, while video images were analyzed and described revealing the acoustic seabed and other bio-physical characteristics. A map of seabed classification, including sediment types and seagrass distribution, was produced using the tool Remote Sensing Object Based Image Analysis (RSOBIA) by integrating information derived from backscatter data and bathy-morphological features, validated by ground-truth data. This allows to create a first seabed maps (i.e. benthoscape classification), of Lampedusa and Linosa, at scale 1:20 000 and 1:32 000, respectively, that will be checked and implemented through further surveys. The results point out a very rich and largely variable marine ecosystem on the seabed surrounding the two islands, with the occurrence of priority habitats, and will be of support for a more comprehensive maritime spatial planning of the Marine Protected Area.

中文翻译：

---

佩拉吉群岛海洋保护区（地中海南部的西西里海峡）中的海床制图，使用基于遥感对象的图像分析（RSOBIA）

在本文中，我们介绍了属于佩拉吉群岛海洋保护区的兰佩杜萨岛和利诺萨岛浅水区的海床地图。进行了两次调查（“ Lampedusa 2015”和“ Linosa 2016”），以通过使用Reson SeaBat 7125高分辨率多波束系统收集测深和声学反向散射数据。在两次调查中还以抓取样本和潜水员视频观测的形式收集了真实数据。分析了沉积物样本的粒度，同时分析并描述了视频图像，揭示了海底的声学特征和其他生物物理特征。海底分类图，包括沉积物类型和海草分布，通过使用基于遥感目标的图像分析（RSOBIA）工具，通过整合从反向散射数据和水深形态特征获得的信息（由地面真相数据验证）而生成。这样就可以创建比例分别为1:20 000和1:32 000的兰佩杜萨岛和利诺萨岛的第一张海底地图（即，底栖动物分类），并将通过进一步的调查进行检查和实施。结果表明，在两个岛屿周围的海床上有非常丰富且变化很大的海洋生态系统，其中优先栖息地的出现，将为海洋保护区的更全面的海洋空间规划提供支持。分别进行进一步的调查和检查。结果表明，在两个岛屿周围的海床上有非常丰富且变化很大的海洋生态系统，其中优先栖息地的出现，将为海洋保护区的更全面的海洋空间规划提供支持。分别进行进一步的调查和检查。结果表明，在两个岛屿周围的海床上有非常丰富且变化很大的海洋生态系统，其中优先栖息地的出现，将为海洋保护区的更全面的海洋空间规划提供支持。