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Assessing the Utility of Open-Access Bathymetric Data for Shipwreck Detection in the United States

机译:评估美国海难检测的开放式浴室数据的效用

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Investigation of submerged cultural heritage is an important area of archeological focus. However, the expense of acquiring the necessary data to conduct studies of underwater landscapes is often prohibitive to many researchers. Within the United States, highly resolved bathymetric data are openly available from governmental agencies, and yet little to no marine archaeological exploration has occurred using this information. Here, we investigate the archaeological utility of freely available bathymetric datasets from the National Oceanic and Atmospheric Administration (NOAA) in the United States. These datasets have not previously been utilized for archaeological publications, and include swath bathymetric and topographic LiDAR data, which are widely used by marine archaeologists. We present three case studies from Long Island, New York, coastal Massachusetts (on the Eastern coast of North America), and New Orleans (on the Gulf Coast of North America) to demonstrate the potential of this open-access information for locating shipwreck sites. Results indicate that shipwrecks at varying levels of preservation can be identified at depths up to 160 m, and that even in extremely turbid waters, bathymetric LiDAR can detect some wreckage. Following this assessment, we develop an automated shipwreck detection procedure using an inverse depression analysis. Our results are promising for automated detection methods in marine archaeology research. We argue that archaeologists in the United States should take advantage of these freely available data, as it is possible that these bathymetric data can be used for detection and conservation of cultural and environmental resources even without large funding acquisitions.
机译:淹没文化遗产的调查是考古焦点的重要领域。然而,获得对水下景观研究的必要数据的费用通常对许多研究人员来说往往是对令人满意的。在美国,高度解决的沐浴数据从政府机构公开提供,但没有使用此信息发生的船舶考古勘探。在这里,我们研究了来自美国国家海洋和大气管理局(NOAA)的自由可用的沐浴数据集的考古效用。这些数据集以前尚未用于考古出版物,包括广泛使用的船舶浴池和地形激光乐节数据。我们在纽约沿海马萨诸塞州长岛(北美东部海岸)和新奥尔良(北美海湾海岸)提出了三项案例研究,以展示该开放式信息的潜力来定位海难网站。结果表明,可以在高达160米的深度识别不同水平的沉船,即使在极其混浊的水域中,沐浴延迟率为均可检测一些残骸。在此评估之后,我们使用逆抑制分析开发自动沉船检测程序。我们的研究结果是对海洋考古研究中的自动检测方法有望。我们认为美国的考古学家应该利用这些自由的数据,因为即使没有大资金收购,这些浴室数据也可以用于检测和保护文化和环境资源。

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