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

Fisher, Michael T., Jurkenas, Dovydas, Jambajantsan, Amina, Jamsranjav, Bayarsaikhan, Nasan-Ochir, Eredene-Ochir, Gelegdorj, Eregzen, Chuluunbat, Munkhbayar, Petraglia, Michael, Boivin, Nicole·2022·F1000Research

Abstract

Background: 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. Methods: 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. Results: 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. Conclusions : 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).

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Figure 1. Map of Mongolia showing the MAPSS grid and location of the planned Erdeneburen Dam flood zone. Map sources (open access): Esri, Maxar, GeoEye Earthstar Geographics, cNEs/Airbus Ds, UsDA, UsGs, AeroGRID, IGN, and the GIS User Community (left); US National Park Service (right).
Figure 1. Map of Mongolia showing the MAPSS grid and location of the planned Erdeneburen Dam flood zone. Map sources (open access): Esri, Maxar, GeoEye Earthstar Geographics, cNEs/Airbus Ds, UsDA, UsGs, AeroGRID, IGN, and the GIS User Community (left); US National Park Service (right).CC BY · PubMed Central
Figure 2. Counts of heritage resources according to threat type.
Figure 2. Counts of heritage resources according to threat type.CC BY · PubMed Central
Figure 3. Diagram of the initial MAPSS workflow, integrating ML, MRS, external data, and imagery/field data.
Figure 3. Diagram of the initial MAPSS workflow, integrating ML, MRS, external data, and imagery/field data.CC BY · PubMed Central
Figure 4. MAPSSdb Resource Manager in Arches showing the various Resource Models that house the graph-based data structures.
Figure 4. MAPSSdb Resource Manager in Arches showing the various Resource Models that house the graph-based data structures.CC BY · PubMed Central
Figure 5. Diagram showing conceptual elements of a sample record in the MAPSSdb on the Arches platform.
Figure 5. Diagram showing conceptual elements of a sample record in the MAPSSdb on the Arches platform.CC BY · PubMed Central
Figure 6. Sample pages of the MAPSS remote sensing portfolio for the Erdeneburen Dam area. Background satellite imagery source (open access): Maxar Technologies.
Figure 6. Sample pages of the MAPSS remote sensing portfolio for the Erdeneburen Dam area. Background satellite imagery source (open access): Maxar Technologies.CC BY · PubMed Central
Figure 7. 3D model depicting a ritual feature typical of the 2 nd mil. BCE, to be submerged.
Figure 7. 3D model depicting a ritual feature typical of the 2 nd mil. BCE, to be submerged.CC BY · PubMed Central
Figure 8. UAV flight plan in Map Pilot Pro from the MAPSS survey in Khovd.
Figure 8. UAV flight plan in Map Pilot Pro from the MAPSS survey in Khovd.CC BY · PubMed Central
Figure 9. Imagery comparison. 1: drone-based orthomosaic; 2: drone-based DTM; 3: open-access satellite imagery (source: Maxar).
Figure 9. Imagery comparison. 1: drone-based orthomosaic; 2: drone-based DTM; 3: open-access satellite imagery (source: Maxar).CC BY · PubMed Central
Figure 10. Erdeneburen Dam dataset shown across three activity zones. Khovd Gol 1 site in inset.
Figure 10. Erdeneburen Dam dataset shown across three activity zones. Khovd Gol 1 site in inset.CC BY · PubMed Central
Figure 11. Confidence rates of remote-sensing feature detection based on ground truthing survey at two sites.
Figure 11. Confidence rates of remote-sensing feature detection based on ground truthing survey at two sites.CC BY · PubMed Central
Figure 12. Contribution of each remote sensing method in detecting 1,262 Heritage Places in the research area.
Figure 12. Contribution of each remote sensing method in detecting 1,262 Heritage Places in the research area.CC BY · PubMed Central
Figure 13. Distribution of Heritage Resources across the three endangerment zones of the Erdeneburen Dam Project.
Figure 13. Distribution of Heritage Resources across the three endangerment zones of the Erdeneburen Dam Project.CC BY · PubMed Central
Figure 14. Drone image of a khirigsuur burial, typical of the 2nd millennium BCE, to be submerged.
Figure 14. Drone image of a khirigsuur burial, typical of the 2nd millennium BCE, to be submerged.CC BY · PubMed Central
Figure 15. MAPSS site detection and recording methodological pyramid.
Figure 15. MAPSS site detection and recording methodological pyramid.CC BY · PubMed Central
Figure 16. Input points within the MAPSS methodology.
Figure 16. Input points within the MAPSS methodology.CC BY · PubMed Central
Figure 17. Revised MAPSS workflow, with colours (blue, green, and orange) corresponding to scalars in Figures 15, 16.
Figure 17. Revised MAPSS workflow, with colours (blue, green, and orange) corresponding to scalars in Figures 15, 16.CC BY · PubMed Central

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Citations

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Metadata

Authors
Fisher, M. T., Jurkenas, D., Jambajantsan, A., Jamsranjav, B., Nasan-Ochir, E.-O., Gelegdorj, E., Chuluunbat, M., Petraglia, M., & Boivin, N.
Venue
F1000Research
Published
2022-11-03
Volume
11
Pages
1250
ISSN
2046-1402
Cited by
7
References
3
Language
en
Funders
Arcadia, a Charitable Fund of Lisbet Rausing and Peter Baldwin (4381)

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