PCI Archaeology

407

Title *

Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatiause asterix (*) to get italics

Authors *

Sosic Klindzic Rajna; Vuković Miroslav; Kalafatić Hrvoje; Šiljeg BartulPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

Year *

2024

Picture *

Abstract *

<p>This paper presents the results of a study on the neolithic landscape of the Sopot culture in the area of Đakovština in Eastern Slavonija. A vast network of settlements was uncovered using aerial archaeology, which was further confirmed and chronologically determined by magnetometry, excavations, and field surveys. The study focuses on the site Tomašanci-Dubrava, where a drone was used to acquire vertical photographs to capture a detailed orthophoto of the feature in a maturing crop. The captured data revealed the subsurface archaeological features that affect the rate of plant growth, as observed on detailed digital surface models. The implications of this observation are discussed in the paper, including its potential use on a larger level with ALS data or aerial photographs taken by the state geodesic service to create DSM models of wider areas.</p>

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Keywords (optional)

Neolithic, enclosure, remote sensing, aerial imagery, magnetometry, DSM

Methods that require specific expertise (optional)

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Thematic fields *

Landscape archaeology, Neolithic, Remote sensing, Spatial analysis

Suggested reviewers - Suggest up to 10 reviewers (provide names and Email addresses). (Optional)

Karsten Lambers suggested: Geert Verhoeven (Geert.Verhoeven@archpro.lbg.ac.at), Tuna Kalayci suggested: Dimitrios Alexakis - dalexakis@ims.forth.gr

e.g. John Doe john@doe.com

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Submission date

2023-09-01 12:57:04

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