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蒙古国西部科布多河流域不可移动考古遗产记录与保护的多学科数字方法

Multidisciplinary digital methodologies for documentation and preservation of immovable Archaeological heritage in the Khovd River Valley, Western Mongolia.

作者信息

Fisher Michael T, Jurkenas Dovydas, Jambajantsan Amina, Jamsranjav Bayarsaikhan, Nasan-Ochir Eredene-Ochir, Gelegdorj Eregzen, Chuluunbat Munkhbayar, Petraglia Michael, Boivin Nicole

机构信息

Department of Archaeology, Max Planck Institute for Geoanthropology, Jena, Thuringen, 07743, Germany.

National Museum of Mongolia, Ulaanbaatar, Ulaanbaatar, 14201, Mongolia.

出版信息

F1000Res. 2022 Nov 3;11:1250. doi: 10.12688/f1000research.126740.1. eCollection 2022.

DOI:10.12688/f1000research.126740.1
PMID:39263389
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11387942/
Abstract

The archaeological and ethnographic heritages of Mongolia reflect a multi-millennial continuity of typically mobile-pastoral occupations across sparsely populated, environmentally diverse landscapes, but the threats of modernisation and industrialisation to those heritages are nevertheless present and substantial. The construction of the Erdeneburen Hydroelectric Dam on the Khovd River in western Mongolia is planned to submerge hundreds of archaeological features and jeopardise at least another thousand. The Mongolian Archaeology Project: Surveying the Steppes, in collaboration with the Mongolian Institute of Archaeology, integrates a variety of digital techniques including GIS (geographic information systems), Machine Learning automated site detection, drone mapping, and Structure-from-Motion LiDAR scanning to document the endangered archaeology. This paper presents the resulting dataset of archaeological features across three different impact zones associated with the dam construction and evaluates the degree of efficacy of the initial data integration strategy through informal partner feedback and self-assessment. While only approximately 20% of the documented sites fall within the planned flood zone, the remaining sites will be subjected to collateral threats such as industrial and infrastructural development that will necessitate extended monitoring, both temporally and spatially. In consideration of these results, this paper argues that a 'responsive' mode of heritage disaster intervention can bridge the gap between 'reactive' and 'proactive' modes, but requires development of an integrated (digital) methodology. : The paper concludes by offering a new, more interconnected 'transmethodology' that addresses spatiality, sub-sampling, data reuse, and community input across multiple disciplines such as cultural heritage preservation, salvage archaeology, computer vision, and community archaeology. The authors developed this 'transmethodology' and the resulting workflows out of a theoretical framework that considers principles of Symmetrical Archaeology, Resilience Humanitarianism, and the CARE standard for inclusive data management (Collective benefit, Authority to control, Responsibility, and Ethics).

摘要

蒙古的考古和民族志遗产反映了在人口稀少、环境多样的地域中,典型的游牧生活方式历经数千年的延续性。然而,现代化和工业化对这些遗产构成的威胁依然存在且十分严峻。蒙古国西部科布多河上的额尔德布仁水电站建设计划将淹没数百处考古遗迹,并危及至少另外一千处。蒙古考古项目:草原测绘,与蒙古考古研究所合作,整合了包括地理信息系统(GIS)、机器学习自动遗址探测、无人机测绘以及基于运动结构的激光雷达扫描等多种数字技术,以记录濒危的考古遗迹。本文展示了与大坝建设相关的三个不同影响区域内考古遗迹的数据集,并通过非正式的合作伙伴反馈和自我评估,评估了初始数据整合策略的有效性程度。虽然记录的遗址中只有约20%位于计划的淹没区内,但其余遗址将受到工业和基础设施发展等附带威胁,这将需要在时间和空间上进行长期监测。考虑到这些结果,本文认为遗产灾难干预的“响应式”模式可以弥合“反应式”和“主动式”模式之间的差距,但需要开发一种综合的(数字)方法。本文最后提出了一种新的、更具关联性的“跨方法”,该方法涉及文化遗产保护、抢救性考古、计算机视觉和社区考古等多个学科的空间性、子采样、数据重用和社区参与等问题。作者基于一个理论框架开发了这种“跨方法”及由此产生的工作流程,该理论框架考虑了对称考古学、韧性人道主义以及包容性数据管理的CARE标准(集体利益、控制权、责任和伦理)。

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本文引用的文献

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.更快的 R-CNN:基于区域建议网络的实时目标检测。
IEEE Trans Pattern Anal Mach Intell. 2017 Jun;39(6):1137-1149. doi: 10.1109/TPAMI.2016.2577031. Epub 2016 Jun 6.
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The FAIR Guiding Principles for scientific data management and stewardship.
科学数据管理和保存的 FAIR 指导原则。
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