Unmanned Aircraft Systems and Remote Sensing in Locating Covered Archaeological Remains

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (20 December 2024) | Viewed by 1087

Special Issue Editor


E-Mail Website
Guest Editor
School of Spatial Planning and Development, Aristotle University of Thessaloniki, Thessaloniki, Greece
Interests: remote sensing; GIS; urban and spatial planning; UAS; aerial and remote sensing archaeology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Countless discoveries of covered archaeological remains have been made in aerial and remote sensing archaeology utilizing panchromatic, multispectral, thermal, lidar and radar images (collected from the sensors of manned aircrafts and satellites). On the other hand, unmanned aircraft systems (UASs) are widely used in archaeology but are underutilized when collecting images in areas outside of the visible spectrum to locate covered archaeological remains. Thus, this Special Issue aims to bring together original articles on the application of UASs with remote sensing sensors in locating covered archaeological remains (due to vegetation, forest, crops, soil, etc.).

Dr. Dimitris Kaimaris
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • marks
  • remote sensing and UAS
  • multispectral sensors
  • thermal sensors
  • lidar
  • magnetic system and UAS aeromagnetic surveys
  • indexes
  • image fusion
  • artificial intelligence
  • machine and deep learning
  • classification

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

20 pages, 46708 KiB  
Article
Sowing, Monitoring, Detecting: A Possible Solution to Improve the Visibility of Cropmarks in Cultivated Fields
by Filippo Materazzi
J. Imaging 2025, 11(3), 71; https://doi.org/10.3390/jimaging11030071 - 25 Feb 2025
Viewed by 633
Abstract
This study explores the integration of UAS-based multispectral remote sensing and targeted agricultural practises to improve cropmark detection in buried archaeological contexts. The research focuses on the Vignale plateau, part of the pre-Roman city of Falerii (Viterbo, Italy), where traditional remote sensing methods [...] Read more.
This study explores the integration of UAS-based multispectral remote sensing and targeted agricultural practises to improve cropmark detection in buried archaeological contexts. The research focuses on the Vignale plateau, part of the pre-Roman city of Falerii (Viterbo, Italy), where traditional remote sensing methods face challenges due to complex environmental and archaeological conditions. As part of the Falerii Project at Sapienza Università di Roma, a field was cultivated with barley (Hordeum vulgare L.), selected for its characteristics, enabling a controlled experiment to maximise cropmark visibility. The project employed high-density sowing, natural cultivation practises, and monitoring through a weather station and multispectral imaging to observe crop growth and detect anomalies. The results demonstrated enhanced crop uniformity, facilitating the identification and differentiation of cropmarks. Environmental factors, particularly rainfall and temperature, were shown to significantly influence crop development and cropmark formation. This interdisciplinary approach also engaged local stakeholders, including students from the Istituto Agrario Midossi, fostering educational opportunities and community involvement. The study highlights how tailored agricultural strategies, combined with advanced remote sensing technologies, can significantly improve the precision and efficiency of non-invasive archaeological investigations. These findings suggest potential developments for refining the methodology, offering a sustainable and integrative model for future research. Full article
Show Figures

Figure 1

Back to TopTop