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VERHOEVEN GeertORCID_LOGO

  • Department of Prehistoric and Historical Archaeology, Universität Wien, Vienna, Austria
  • Archaeometry, Computational archaeology, Contemporary archaeology, Landscape archaeology, Remote sensing, Spatial analysis

Recommendations:  0

Reviews:  2

Areas of expertise
Remote sensing, photography, image processing, image-based 3D surface modelling, spatio-temporal reasoning, semantic data structuring & reasoning, scientific visualisations, colourimetry, statistics

Reviews:  2

20 Feb 2024
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Understanding Archaeological Site Topography: 3D Archaeology of Archaeology

Rewriting Archaeological Narratives: Archaeology of Archaeology through 3D Site Topography Recording

Recommended by based on reviews by Geert Verhoeven, Jesús García-Sánchez and Catherine Scott

Even though applications of 3D recording have existed in archaeology for a long time, it is only since the early 2000s that this field of research has become mainstream thanks to technological advances, and the availability of low-cost sensors and image-based modelling software. This has led to significant changes in the way archaeological sites are documented. This paper entitled "Understanding Archaeological Site Topography: 3D Archaeology of Archaeology" by Jitte Waagen & Gert Jan van Wijngaarden (2024) presents an overview of the current developments in the application possibilities of 3D site topography recording in archaeology. The paper is the result of the round table discussion "Understanding Archaeological Site Topography: 3D Archaeology of Archaeology" at the CAA conference on 5 April 2023 in Amsterdam, with contributions from Radu Brunchi, Nicola Lercari, Joep Orbons, Davide Tanasi, Alicia Walsh, Pawel Wolf and Teagan Zoldoske.

The paper starts with a discussion of the Amsterdam Troy Project (ATP). In the frame of the ATP, the rich history of archaeological activity (over 150 years of fieldwork) at Troy is being studied to explore how previous archaeological research has helped to shape the current topography of the site and how these earlier research activities, embedded in their contemporary theoretical frameworks, have determined our understanding of the site (see Murray and M. Spriggs 2017, Carver 2011 for the influence of theory on archaeological fieldwork and archaeology as a discipline), the so-called 'Archaeology of Archaeology' approach. In addition to studying previous research records and re-excavating old excavation trenches, a central element of the project is the 3D recording of the past and present topography of the site in order to reconstruct the archaeological research activities at the site and their impact on the archaeological landscape.

The paper focuses on current trends in 3D recording of archaeological site topography and discusses three main areas where 3D recording of archaeological site topography can contribute to the "Archaeology of Archaeology" approach: (1) monitoring the topography of sites for preservation, conservation, research and dissemination purposes; (2) reconstructing, reevaluating and reinterpreting past archaeological research efforts; and (3) archiving in a 4D (GIS) environment. This is done using the example of the Amsterdam Troy project and comparing it with other projects using similar methods and approaches. Using these case studies, the authors effectively discuss the impact of these technologies on the understanding of the topography of archaeological sites and how 3D recording can enhance archaeological research methodologies and interpretations, for example, by not using such 3D approaches as a stand-alone product but integrating them with available information from previous research activities. They also recognise the limitations and challenges involved, such as the need for customised data acquisition strategies and the lack of ready-made software solutions for developing comprehensive data management strategies.

One topic that could have been covered in more detail is how 3D site topography recording (and 3D recording in general) is affected by current theoretical developments in archaeology. Like any other archaeological fieldwork or data collection approach, it is a child of its time. Decisions such as what to record, how to record, what to store, how to store, what to visualise, and how to visualise influence our understanding of archaeological sites (Ward 2022). This minor critical reflection aside, the paper makes a timely and significant contribution to archaeology by addressing current trends and the limitations of the increasingly widespread use of 3D site topography recording technologies.

References

Carver, G. (2011). Reflections on the archaeology of archaeological excavation, Archaeological Dialogues 18(1), pp. 18–26. https://doi.org/10.1017/S1380203811000067

Murray, T. and Spriggs, M. (2017). The historiography of archaeology: exploring theory, contingency and rationality, World Archaeology 49(2), pp. 151–157. https://doi.org/10.1080/00438243.2017.1334583

Ward, C. (2022). Excavating the Archive / Archiving the Excavation: Archival Processes and Contexts in Archaeology, Advances in Archaeological Practice 10(2), pp. 160–176. https://doi.org/10.1017/aap.2022.1

Waagen, J. and van Wijngaarden, G.J. (2024). Understanding Archaeological Site Topography: 3D Archaeology of Archaeology, Zenodo, 10061343, ver. 3 peer-reviewed and recommonded by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.10061343

03 Feb 2024
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Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia

What lies on top lies also beneath? Connecting crop surface modelling to buried archaeology mapping.

Recommended by based on reviews by Ian Moffat and Geert Verhoeven

This paper (Sosic et al. 2024) explores the Neolithic landscape of the Sopot culture in Đakovština, Eastern Slavonija, revealing a network of settlements through a multi-faceted approach that combines aerial archaeology, magnetometry, excavation, and field survey. This strategy facilitates scalable research tailored to the particularities of each site and allows for improved representations of buried archaeology with minimal intrusion. 

Using the site of Tomašanci-Dubrava as an example of the overall approach, the study further explores the use of drone imagery for 3D surface modeling, revealing a consistent correlation between crop surface elevation during full plant growth and ground terrain after ploughing, attributed to subsurface archaeological features. Results are correlated with magnetic survey and test-pitting data to validate the micro-topography and clarify the relationship between different subsurface structures.

The results obtained are presented in a comprehensive way, including their source data, and are contextualized in relation to conventional cropmark detection approaches and expectations. I found this aspect very interesting, since the crop surface and terrain models contradict typical or textbook examples of cropmark detection, where the vegetation is projected to appear higher in ditches and lower in areas with buried archaeology (Renfrew & Bahn 2016, 82). Regardless, the findings suggest the potential for broader applications of crop surface or canopy height modelling in landscape wide surveys, utilizing ALS data or aerial photographs.  

It seems then that the authors make a valid argument for a layered approach in landscape-based site detection, where aerial imagery can be used to accurately map the topography of areas of interest, which can then be further examined at site scale using more demanding methods, such as geophysical survey and excavation. This scalability enhances the research's relevance in broader archaeological and geographical contexts and renders it a useful example in site detection and landscape-scale mapping.

References

Renfrew, C. and Bahn, P. (2016). Archaeology: theories, methods and practice. Thames and Hudson. 

Sosic Klindzic, R., Vuković, M., Kalafatić, H. and Šiljeg, B. (2024). Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia, Zenodo, 7970703, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7970703

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VERHOEVEN GeertORCID_LOGO

  • Department of Prehistoric and Historical Archaeology, Universität Wien, Vienna, Austria
  • Archaeometry, Computational archaeology, Contemporary archaeology, Landscape archaeology, Remote sensing, Spatial analysis

Recommendations:  0

Reviews:  2

Areas of expertise
Remote sensing, photography, image processing, image-based 3D surface modelling, spatio-temporal reasoning, semantic data structuring & reasoning, scientific visualisations, colourimetry, statistics