What lies on top lies also beneath? Connecting crop surface modelling to buried archaeology mapping.
Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia
Recommendation: posted 01 February 2024, validated 03 February 2024
Katsianis, M. (2024) What lies on top lies also beneath? Connecting crop surface modelling to buried archaeology mapping.. Peer Community in Archaeology, 100407. 10.24072/pci.archaeo.100407
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.
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
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article. The authors declared that they comply with the PCI rule of having no financial conflicts of interest in relation to the content of the article.
Croatian Science Foundation
Evaluation round #2
DOI or URL of the preprint: https://doi.org/10.5281/zenodo.7970703
Version of the preprint: 1
Author's Reply, 26 Jan 2024
Decision by Markos Katsianis, posted 19 Jan 2024, validated 21 Jan 2024
Thank you for your efforts to address the reviewers’ remarks. I closely read the revised version and found that most of the comments have been adequately addressed. The addition of supplementary information, especially, has proven valuable for appreciating the methodology employed.
I would like to draw your attention to a specific comment made by Ian Moffat regarding the comparison of your results with those of other similar studies. While you have made efforts to contextualize your findings by including mentions of similar studies, there is room for further elaboration. Expanding on these comparisons would make your contribution even more informative for a broader audience, including those who may not be experts in this field.
For instance, upon revisiting your text, I particularly found interesting the fact that both in the DSM and the DTM the elevation of the crops follows the ground elevation (Fig. 4), which is something that may contradict typical examples of cropmark detection. See for example the illustrations in Renfrew & Bahn 2016. Archaeology: theories, methods and practice. Thames and Hudson. p.82, also available at https://rcahmw.gov.uk/cropmarks-2018/, where the vegetation is depicted to appear higher in ditches and lower in areas with buried archaeology. Could this difference be attibuted to factors other than the specificity of the cases?
Finally, in the uploaded version I have also included some minor phrasing corrections and addressed typos using track changes mode. I would perhaps suggest a final proofreading to ensure the resolution of any remaining minor errors.
If further clarifications are needed, please feel free to contact me. I look forward to receiving your revised manuscript.
Markos KatsianisDownload recommender's annotations
Evaluation round #1
DOI or URL of the preprint: https://doi.org/10.5281/zenodo.7970704
Version of the preprint: 1
Author's Reply, 05 Jan 2024
Decision by Markos Katsianis, posted 08 Nov 2023, validated 08 Nov 2023
I am happy to inform you on receiving the reviews for your article "Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia". You may find their feedback valuable for improving your manuscript.
Please, carefully consider the constructive remarks made by the reviewers and proceed with the necessary revisions. In your reply, please incorporate some comments explaining how you have integrated the suggested improvements.
In my perspective, your contribution serves as a useful example for comparing the results and usability of different site survey methods. Considering the reviewers' comments can provide a more comprehensive contextualization of your research within the broader landscape of similar applications and relevant technologies.
Furthermore, it is important to ensure that any supplementary information is readily accessible via the provided web source.
Should you need and clarification, please do not hesitate to contact me.
Looking forward to receiving your revised manuscript.
All the best,