A Regional Approach to Ancient Urban Studies in Greece Through Multi-Settlement Geophysical Survey

Donati, Jamieson C.; Sarris, Apostolos; Papadopoulos, Nikos; Kalaycı, Tuna; Simon, François‐Xavier; Manataki, Meropi; Moffat, Ian; Cuenca-Garcia, Carmen

doi:10.1080/00934690.2017.1365565

Cited by 19 publications

(16 citation statements)

References 14 publications

(8 reference statements)

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“…Geophysical survey has rarely been used for archaeological investigations in Cambodia, with the principal focus of published studies being the mapping of large‐scale monumental structures (Sonnemann, ; Sonnemann, O'Reilly, Chhay, Pottier, & Fletcher, ) or pottery kilns (Sonnemann & Chhay, ). Nonetheless, this approach has great potential to contribute to archaeological studies in the region because of its ability to provide rapid, noninvasive assessments of the subsurface over large areas (e.g., Donati et al, ). GPR is a commonly applied geophysical method that works by transmitting radar energy into the subsurface and measuring the timing and amplitude of reflections from boundaries in dielectric permittivity (Conyers, ).…”

Section: Introductionmentioning

confidence: 99%

Using ground penetrating radar to understand the failure of the Koh Ker Reservoir, Northern Cambodia

et al. 2019

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Ground penetrating radar, probing, and excavation were used to create a contour map of the topography of a buried laterite pavement forming the spillway of a large abandoned reservoir at the Angkorian‐period city of Koh Ker in Cambodia. Calculations of the flow velocity of water through the spillway, based on the topography of the laterite surface, demonstrate that this outlet was even less adequate for passing the flow of water from the Stung Rongea catchment than had been estimated previously by Lustig, Klassen, Evans, French, & Moffat (2018). We argue that this design flaw contributed substantially to the failure of the reservoir’s dike, possibly during the first rainy season after construction, which may have contributed to Koh Ker’s remarkably short‐lived tenure as the political center of the Khmer Empire.

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Section: Introductionmentioning

confidence: 99%

Using ground penetrating radar to understand the failure of the Koh Ker Reservoir, Northern Cambodia

et al. 2019

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“…Demetrias, located close to the modern city of Volos, was an important city and port during the Hellenistic period (Donati et al . ). Archaeological excavations have revealed a Hellenistic palace complex, a monumental stone theatre, several Roman structures including bath complexes and an early Christian church.…”

Section: Field Experiments In An Archaeological Contextmentioning

confidence: 97%

Permittivity mapping in the VLF–LF range using a multi‐frequency EMI device: first tests in archaeological prospection

Simon

Tabbagh

Donati

et al. 2018

Near Surface Geophysics

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A B S T R A C TIn the early years of near-surface geophysical applications, measurements obtained using electromagnetic induction (Slingram or dipole-dipole) instruments were first interpreted in terms of electrical conductivity. Afterwards, studies began considering the importance of magnetic susceptibility. Until now, however, no attention has been paid to possible responses in dielectric permittivity. After reviewing the current state of knowledge regarding the expected theoretical responses in the very low frequency to low frequency (VLF-LF) range (3-300 kHz) and the value range of this property for soils, we propose the use of multi-frequency instruments to define a process allowing for the determination of the apparent conductivity and permittivity in the higher part of the frequency range above 20 kHz. We test this process through a series of experiments at archaeological sites in Greece using the GEM-2 (Geophex Ltd) instrument. In our experiments, the soil permittivity values fall between several hundredths and several thousandths. The results indicate lateral variations different from the other properties with a significant influence of the stone content and of the ionic strength, while a decrease with frequency may also provide further information on soil dielectric behaviours.

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“…Previous excavations at the site have identified the location of the agora, the theater, temples, and streets (Fougères, ; Hodkinson & Hodkinson, ; Winter, ). The site has been also the target of various geophysical, aerial and satellite remote sensing studies (Donati et al, ). GPR depth slices (0.5–1.20 m) from various sections of the settlement were used in this work.…”

Section: The Data Setmentioning

confidence: 99%

“…In our study, we used GPR depth slices at the Classical settlement of Halos, covering a region of about 0.70 ha. Slices spanning from 0.5 to 1.5 m below the surface indicated mainly multi‐roomed rectilinear domestic building with walls of thickness about 0.5 to 1 m and courtyards, together with a massive multi‐complex structure belonging to a second construction phase (Donati et al, ).…”

Section: The Data Setmentioning

confidence: 99%

Deep learning based automated analysis of archaeo‐geophysical images

Küçükdemirci

Sarris

2020

Archaeological Prospection

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Thanks to recent advances in deep learning (DL) and the increasing availability of large labeled/annotated datasets and trained network models, there has been impressive progress in the automated analysis of images from different scientific domains such as medicine, microbiology, astronomy and remote sensing. The automated analysis of archaeo-geophysical data is also considered important due to the large spatial extent of areas covered by landscape surveys using multi-sensor arrays driven by motorized carts and subsequently the large volume of collected data. In this work, a convolutional neural network (CNN) is built by Python 3.6 programming language using the Deep Learning Library of Keras with Tensorflow backends, a library that implements the building blocks for CNN. The network is trained from scratch adopting U-Net architecture to accomplish an automatic analysis of the archaeo-geophysical features with emphasis on ground-penetrating radar (GPR) anomalies. K E Y W O R D S archaeo-geophysics, convolutional neural networks (CNNs), deep learning, feature extraction, GPR (ground-penetrating radar), U-Net

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A Regional Approach to Ancient Urban Studies in Greece Through Multi-Settlement Geophysical Survey

Cited by 19 publications

References 14 publications

Using ground penetrating radar to understand the failure of the Koh Ker Reservoir, Northern Cambodia

Using ground penetrating radar to understand the failure of the Koh Ker Reservoir, Northern Cambodia

Permittivity mapping in the VLF–LF range using a multi‐frequency EMI device: first tests in archaeological prospection

Deep learning based automated analysis of archaeo‐geophysical images

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