Ground-Penetrating Radar for Archaeology and Cultural-Heritage DiagnosticsActivities Carried Out in COST Action TU1208

Pajewski, Lara; Solla, Mercedes; Küçükdemirci, Melda

doi:10.1201/9781315168685-13

Cited by 6 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its non-invasive nature preserves historical structures, while its high-resolution imaging capabilities help detect hidden features, structural anomalies, and several crucial pieces of information relevant to the geophysical investigation. Moreover, GPR's depth profiling, real-time data collection, and data integration with archaeological and historical records enhance the QA/QC process [17][18][19][20][21].…”

Section: Resultsmentioning

confidence: 99%

Unveiling the Hidden Secrets of Bomarzo Cathedral: New Evidence from Last Ground-Penetrating Radar Survey

Barone,

Lamoratta

2023

Heritage

View full text Add to dashboard Cite

The Bomarzo Cathedral, also known as the Duomo di Bomarzo, is a remarkable historical and architectural masterpiece situated in Bomarzo (VT), Italy. Constructed in the 16th century under the sponsorship of the Orsini family, the cathedral’s design is a harmonious blend of Renaissance and Baroque styles. Despite enduring numerous challenges, including damage from the Italian Wars, extensive restoration efforts were undertaken to preserve its cultural legacy. Driven by a deep appreciation of the cathedral’s historical context, a ground-penetrating radar (GPR) investigation was deployed to gain insights into its foundations and potentially uncover buried remains beneath the floor and altar. The GPR investigation focused on the cathedral’s interior, specifically the central and left naves, altar, and oratory. This revealed the presence of disclosed rectangular chambers beneath the floor and altar, along with unique foundation structures. These findings, coupled with historical insights and architectural understanding, emphasize the cathedral’s cultural importance.

show abstract

Section: Resultsmentioning

confidence: 99%

Unveiling the Hidden Secrets of Bomarzo Cathedral: New Evidence from Last Ground-Penetrating Radar Survey

Barone,

Lamoratta

2023

Heritage

View full text Add to dashboard Cite

show abstract

“…Numerical simulations, both for the sensitivity tests and the forward modelling, were performed exploiting gprMax , version 3.1.6 (Warren et al., 2016), which is an open‐source software designed to simulate the propagation of an EM wave even in heterogenous media, by solving Maxwell's equations in 3‐D using the finite‐difference time‐domain method. The algorithm can handle complex geometries and materials distributions, being highly adaptable to model a wide range of subsurface scenarios in various fields of application, such as archaeology, civil engineering, glaciology, and hydrogeology, among others (e.g., Cheng et al., 2023; Feng et al., 2023; Haruzi et al., 2022; Hillebrand et al., 2021; Pajewski et al., 2017; Schennen et al., 2022). In order to reduce the computational costs due to model discretization, we exploited a specific module for gprMax modelling on GPU (Warren et al., 2018) and performed the inversion on Cineca Marconi 100 cluster with 2 CPUs with 16 cores 3.1 GHz, 4 NVIDIA Volta V100 16GB GPUs and 256 GB RAM per node running on GPUs and parallelized on several nodes.…”

Section: Methodsmentioning

confidence: 99%

GPR modelling and inversion to quantify the debris content within ice

Santin,

Roncoroni,

Forte

et al. 2023

Near Surface Geophysics

View full text Add to dashboard Cite

Scattering is often detected when ground‐penetrating radar (GPR) surveys are performed on glaciers at different latitudes and in various environments. This event is often seen as an undesirable feature on data, but it can be exploited to quantify the debris content in mountain glaciers through a dedicated scattering inversion approach. At first, we considered the possible variables affecting the scattering mechanisms, namely the dielectric properties of the scatterers, their size, shape and quantity, as well as the wavelength of the electromagnetic (EM) incident field to define the initial conditions for the inversion. Each parameter was independently evaluated with forward modelling tests to quantify its effect in the scattering mechanism. After extensive tests, we found that the dimension and the amount of scatterers are the crucial parameters. We further performed modelling randomizing the scatterer distribution and dimension, critically evaluating the stability of the approach and the complexity of the models. After the tests on synthetic data, the inversion procedure was applied to field datasets, acquired on the Eastern Gran Zebrù glacier (Central Italian Alps). The results show that even a low percentage of debris can produce high scattering. The proposed methodology is quite robust and able to provide quantitative estimates of the debris content within mountain glaciers in different conditions.

show abstract

“…The most interesting output of this WG is a wide series of real-field case studies showing how GPR can be effectively employed in well-established and emerging applications; some examples are found in [44][45][46][47]. Special attention was paid to the use of GPR for the management of cultural heritage [48][49][50][51][52].…”

Section: Cost Action Tu1208 and The Open Database Of Radargrams Initimentioning

confidence: 99%

TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

Dérobert

Pajewski

2018

Remote Sensing

Self Cite

View full text Add to dashboard Cite

This paper aims to present a wide dataset of ground penetrating radar (GPR) profiles recorded on a full-size geophysical test site, in Nantes (France). The geophysical test site was conceived to reproduce objects and obstacles commonly met in the urban subsurface, in a completely controlled environment; since the design phase, the site was especially adapted to the context of radar-based techniques. After a detailed description of the test site and its building process, the GPR profiles included in the dataset are presented and commented on. Overall, 67 profiles were recorded along eleven parallel lines crossing the test site in the transverse direction; three pulsed radar systems were used to perform the measurements, manufactured by different producers and equipped with various antennas having central frequencies from 200 MHz to 900 MHz. An archive containing all profiles (raw data) is enclosed to this paper as supplementary material. This dataset is the core part of the Open Database of Radargrams initiative of COST (European Cooperation in Science and Technology) Action TU1208 "Civil engineering applications of Ground Penetrating Radar". The idea beyond such initiative is to share with the scientific community a selection of interesting and reliable GPR responses, to enable an effective benchmark for direct and inverse electromagnetic approaches, imaging methods and signal processing algorithms. We hope that the dataset presented in this paper will be enriched by the contributions of further users in the future, who will visit the test site and acquire new data with their GPR systems. Moreover, we hope that the dataset will be made alive by researchers who will perform advanced analyses of the profiles, measure the electromagnetic characteristics of the host materials, contribute with synthetic radargrams obtained by modeling the site with electromagnetic simulators, and more in general share results achieved by applying their techniques on the available profiles.

show abstract

Ground-Penetrating Radar for Archaeology and Cultural-Heritage DiagnosticsActivities Carried Out in COST Action TU1208

Cited by 6 publications

References 1 publication

Unveiling the Hidden Secrets of Bomarzo Cathedral: New Evidence from Last Ground-Penetrating Radar Survey

Unveiling the Hidden Secrets of Bomarzo Cathedral: New Evidence from Last Ground-Penetrating Radar Survey

GPR modelling and inversion to quantify the debris content within ice

TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

Contact Info

Product

Resources

About