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Geospatial Survey Tools for Planning, Processing, Visualizing, and Assessing Marine Magnetic Survey Data for Archeological Resources

机译:用于规划,处理,可视化和评估考古资源的海洋磁测量数据的地理空间测量工具

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Objectives/Scope: Marine magnetic surveys are a commonplace tool for archaeologists to discover, document, and characterize ferromagnetic submerged cultural resources (SCR). It is difficult, however, to quantify the efficacy of a given magnetic survey in terms of actual detection thresholds and. therefore, accurately assess the presence or absence of archaeological remains throughout a given area. Similarly, survey planning methods and data visualization techniques are likewise challenging to approach quantitatively. To address these issues, the Bureau of Ocean Energy Management's Office of Renewable Energy Programs partnered with the National Park Service's Submerged Resources Center to conduct a field research program whereby known ferromagnetic archaeological sites were magnetically sampled to better understand their respective detection thresholds. Incorporating the results of these tests, the team developed a series of custom geospatial processing tools in ArcGIS to assist in quantifying the process of planning, processing, and describing marine magnetic surveys. Methods, Procedures, Process: Field testing operations, which took place in Biscayne National Park, involved executing pre-determined magnetic survey sampling patterns around known ferromagnetic archaeological objects of various vintage, size, and materials. Acquired data was then processed to yield specific values for the object's magnetic moment, the primary variable needed to quantify induced magnetic field strength and, therefore, a given object's spatial threshold of detection. These were, in turn, used to refine induced magnetic field models subsequently incorporated into magnetic survey planning tools, as well as geospatial processing methods scripted in Python to automate magnetic survey data integration, visualization, filtering, and post-acquisition assessment. Results, Observations, and Conclusions: Sampled SCR included modern period steel-hulled vessels, diffused debris fields containing numerous scatters of iron artifacts, iron cannon and shot, historic anchors, and wooden sailing vessels with iron components. This diversity of test sites encompassed an array of archaeological materials typically found in a marine environment. Information yielded insights into the relative magnetic field strength of each these materials and site types, allowing models of induced magnetic field strength to be further refined in terms of a targeted object's anticipated detectability during a given survey. Four Python scripts were developed, including an Input tool. Generate Survey Boundary tool. Visualization tool, and Confidence Modeling tool. Collectively these scripts comprise the Magnetometer Survey V. 1.0 toolbox, which integrates into ArcGIS via Arc Toolbox. Once marine magnetic survey data is output from a data acquisition program, these Python scripts automate the remaining data processing and facilitate a quantitative QA/QC assessment based on user-defined parameters. As a result, marine magnetic surveys for archaeological resources can planned, executed, processed, and assessed according to a repeatable and consistent procedure.
机译:目标/范围:海洋磁调查是考古学家发现,记录和表征铁磁水下文化资源(SCR)的常用工具。但是,很难根据实际的检测阈值和来量化给定磁性测量的功效。因此,准确评估整个给定区域中考古遗存的存在与否。同样,调查计划方法和数据可视化技术同样面临定量化的挑战。为了解决这些问题,海洋能源管理局的可再生能源计划办公室与国家公园管理局的淹没资源中心合作进行了一项野外研究计划,对已知的铁磁考古现场进行了磁采样,以更好地了解它们各自的检测阈值。结合这些测试的结果,该团队在ArcGIS中开发了一系列自定义地理空间处理工具,以帮助量化规划,处理和描述海洋磁测的过程。方法,过程,过程:在比斯坎国家公园进行的现场测试操作涉及围绕各种年份,大小和材料的已知铁磁考古物体执行预定的磁调查采样模式。然后处理获取的数据,以产生物体磁矩的特定值,量化感应磁场强度所需的主要变量,从而确定给定物体的空间检测阈值。这些反过来又被用于完善感应磁场模型,随后将其整合到磁测量计划工具中,并使用Python编写的地理空间处理方法来自动执行磁测量数据集成,可视化,过滤和采集后评估。结果,观察结果和结论:采样的SCR包括现代钢壳船,散布的碎片场,其中散布着大量的铁器物,铁加农炮和炮弹,历史悠久的锚,以及带有铁成分的木制帆船。测试地点的多样性涵盖了通常在海洋环境中发现的一系列考古材料。信息深入了解了每种材料和站点类型的相对磁场强度,从而可以根据给定调查中目标对象的预期可检测性进一步完善感应磁场强度的模型。开发了四个Python脚本,包括一个输入工具。生成测量边界工具。可视化工具和置信度建模工具。这些脚本共同构成了Magnetometer Survey V. 1.0工具箱,该工具箱通过Arc Toolbox集成到ArcGIS中。一旦从数据采集程序输出了海洋磁测数据,这些Python脚本将自动执行剩余的数据处理,并根据用户定义的参数促进定量QA / QC评估。结果,可以根据可重复且一致的程序来计划,执行,处理和评估考古资源的海洋磁测。

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