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UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art

1
Dipartimento di Informatica, Università degli Studi di Torino, Corso Svizzera 185, 10149 Torino, Italy
2
Politecnico di Torino—DAD, Viale P.A. Mattioli, 39, 10125 Torino, Italy
*
Author to whom correspondence should be addressed.
Drones 2020, 4(3), 46; https://doi.org/10.3390/drones4030046
Received: 6 August 2020 / Revised: 17 August 2020 / Accepted: 17 August 2020 / Published: 19 August 2020
Over the last decade, we have witnessed momentous technological developments in unmanned aircraft systems (UAS) and in lightweight sensors operating at various wavelengths, at and beyond the visible spectrum, which can be integrated with unmanned aerial platforms. These innovations have made feasible close-range and high-resolution remote sensing for numerous archaeological applications, including documentation, prospection, and monitoring bridging the gap between satellite, high-altitude airborne, and terrestrial sensing of historical sites and landscapes. In this article, we track the progress made so far, by systematically reviewing the literature relevant to the combined use of UAS platforms with visible, infrared, multi-spectral, hyper-spectral, laser, and radar sensors to reveal archaeological features otherwise invisible to archaeologists with applied non-destructive techniques. We review, specific applications and their global distribution, as well as commonly used platforms, sensors, and data-processing workflows. Furthermore, we identify the contemporary state-of-the-art and discuss the challenges that have already been overcome, and those that have not, to propose suggestions for future research. View Full-Text
Keywords: UAS; lightweight sensors; near-infrared sensors; thermal sensors; multi-spectral sensors; hyperspectral sensors; LiDAR; remote sensing; archaeology; prospection UAS; lightweight sensors; near-infrared sensors; thermal sensors; multi-spectral sensors; hyperspectral sensors; LiDAR; remote sensing; archaeology; prospection
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MDPI and ACS Style

Adamopoulos, E.; Rinaudo, F. UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art. Drones 2020, 4, 46. https://doi.org/10.3390/drones4030046

AMA Style

Adamopoulos E, Rinaudo F. UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art. Drones. 2020; 4(3):46. https://doi.org/10.3390/drones4030046

Chicago/Turabian Style

Adamopoulos, Efstathios; Rinaudo, Fulvio. 2020. "UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art" Drones 4, no. 3: 46. https://doi.org/10.3390/drones4030046

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