基于多波束测深和地面真值数据的“Pelagie群岛”(西西里岛)海底栖息地遥感影像制图

S. Innangi, R. Tonielli, C. Romagnoli, Di Martino Gabriella, M. Innangi
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引用次数: 1

摘要

在这项工作中,提出了属于“佩拉吉群岛”海洋保护区的兰佩杜萨岛、兰佩杜萨岛和利诺萨岛浅水区的海底测绘。通过使用Reson SeaBat 7125高分辨率多波束系统,进行了三次调查(即“Lampedusa2015”、“Linosa2016”和“BioGeoLin”),以收集水深和声学后向散射数据。在调查期间,还以抓拍样本和潜水员视频观察的形式收集了地面实况数据。对沉积物样品进行粒度分析,同时对视频图像进行分析和描述,揭示了声学海床和其他生物物理特征。利用基于遥感对象的图像分析技术,综合了后向散射数据和深度形态特征的信息,并通过地面真实数据验证,生成了包括沉积物类型和海草分布在内的三幅海底分类图。海底地图,包括沉积物类型和生境分布,有助于了解在岛屿上观察到的特殊海洋生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seafloor habitat mapping on the "Pelagie Islands" MPA (Sicily Channel) using Remote Sensing Object Image Analysis supported by multibeam bathymetry and ground-truth data
In this work, the seabed mapping of the shallow-water areas of Lampedusa, Lampione and Linosa, belonging to the "Pelagie Islands" Marine Protected Area, is presented. Three surveys were carried out (namely "Lampedusa2015", "Linosa2016" and "BioGeoLin") 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 the surveys. Sediment samples were analyzed for grain size, while video images were analyzed and described revealing the acoustic seabed and other bio-physical characteristics. Three seabed classification maps, including sediment types and seagrass distribution, were produced using Remote Sensing Object Based Image Analysis by integrating information derived from backscatter data and bathy-morphological features, validated by ground-truth data. The seabed maps, including sediment types and habitat distribution, contribute to the knowledge of the peculiar marine ecosystem observed at the islands.
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