Definition of buried archaeological remains with a new 3D visualization technique of a ground-penetrating radar data set in Temple Augustus in Ankara, Turkey

2010 ◽  
Vol 8 (5) ◽  
pp. 397-406 ◽  
Author(s):  
Selma Kadioglu
Keyword(s):  
Ground Penetrating Radar ◽  
3D Visualization ◽  
Radar Data ◽  
Archaeological Remains ◽  
Visualization Technique ◽  
Data Set ◽  
Definition Of ◽  
Ground Penetrating

scholarly journals Imaging of Scarce Archaeological Remains Using Microwave Tomographic Depictions of Ground Penetrating Radar Data

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Francesco Soldovieri ◽  
Erica Utsi ◽  
Raffaele Persico ◽  
Amir M. Alani
Keyword(s):  
Data Processing ◽  
Inverse Scattering ◽  
Ground Penetrating Radar ◽  
Building Materials ◽  
3D Visualization ◽  
Radar Data ◽  
Archaeological Remains ◽  
Definition Of ◽  
Ground Penetrating ◽  
Radar Data Processing

The Romano-British site of Barcombe in East Sussex, England, has suffered heavy postdepositional attrition through reuse of the building materials for the effects of ploughing. A detailed GPR survey of the site was carried out in 2001, with results, achieved by usual radar data processing, published in 2002. The current paper reexamines the GPR data using microwave tomography approach, based on a linear inverse scattering model, and a 3D visualization that permits to improve the definition of the villa plan and reexamine the possibility of detecting earlier prehistoric remains.

Acquisition and processing of wide‐aperture ground‐penetrating radar data

Geophysics ◽  
1992 ◽  
Vol 57 (3) ◽  
pp. 495-504 ◽  
Author(s):  
Elizabeth Fisher ◽  
George A. McMechan ◽  
A. Peter Annan
Keyword(s):  
Ground Penetrating Radar ◽  
Single Channel ◽  
Radar Data ◽  
Seismic Exploration ◽  
Depth Of Penetration ◽  
Eastern Canada ◽  
Data Set ◽  
Wide Aperture ◽  
Spatial Positioning ◽  
Ground Penetrating

A 40-channel wide‐aperture ground penetrating radar (GPR) data set was recorded in a complicated fluvial/aeolian environment in eastern Canada. The data were collected in the multichannel format usually associated with seismic reflection surveys and were input directly into a standard seismic processing sequence (filtering, static corrections, common‐midpoint gathering, velocity analysis, normal‐ and dip‐moveout corrections, stacking and depth migration). The results show significant improvements, over single‐channel recordings, in noise reduction and depth of penetration (by stacking), and in spatial positioning and reduction of diffraction artifacts (by migration). These characteristics increase the potential for reliable interpretation of structural and stratigraphic details. Thus, without having to develop any new software, GPR data processing technology is brought to the same level of capability, flexibility, and accessibility that is current in seismic exploration.

Reconstructing Properties of Subsurface from Ground-Penetrating Radar Data

PIERS Online ◽  
2006 ◽  
Vol 2 (6) ◽  
pp. 567-572
Author(s):  
Hui Zhou ◽  
Dongling Qiu ◽  
Takashi Takenaka
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Data ◽  
Ground Penetrating

scholarly journals Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling

2021 ◽  
pp. 1-19
Author(s):  
Melchior Grab ◽  
Enrico Mattea ◽  
Andreas Bauder ◽  
Matthias Huss ◽  
Lasse Rabenstein ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Thickness Distribution ◽  
Radar Data ◽  
Tourism Industry ◽  
Swiss Alps ◽  
Ice Thickness ◽  
Hazard Management ◽  
Bed Topography ◽  
Ice Volume ◽  
Ground Penetrating

Abstract Accurate knowledge of the ice thickness distribution and glacier bed topography is essential for predicting dynamic glacier changes and the future developments of downstream hydrology, which are impacting the energy sector, tourism industry and natural hazard management. Using AIR-ETH, a new helicopter-borne ground-penetrating radar (GPR) platform, we measured the ice thickness of all large and most medium-sized glaciers in the Swiss Alps during the years 2016–20. Most of these had either never or only partially been surveyed before. With this new dataset, 251 glaciers – making up 81% of the glacierized area – are now covered by GPR surveys. For obtaining a comprehensive estimate of the overall glacier ice volume, ice thickness distribution and glacier bed topography, we combined this large amount of data with two independent modeling algorithms. This resulted in new maps of the glacier bed topography with unprecedented accuracy. The total glacier volume in the Swiss Alps was determined to be 58.7 ± 2.5 km3 in the year 2016. By projecting these results based on mass-balance data, we estimated a total ice volume of 52.9 ± 2.7 km3 for the year 2020. Data and modeling results are accessible in the form of the SwissGlacierThickness-R2020 data package.

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