Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)

Ice is a rich reservoir of past climate information, and the well-documented increasing rate of glacier retreat represents a great loss for paleoclimate studies. In this framework, the Ice Memory project aims to extract and analyze ice cores from glacier regions worldwide and store them in Antarctic...

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Main Authors: Mirko Pavoni, Jacopo Boaga, Alberto Carrera, Stefano Urbini, Fabrizio de Blasi, Jacopo Gabrieli
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/10/2615
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author Mirko Pavoni
Jacopo Boaga
Alberto Carrera
Stefano Urbini
Fabrizio de Blasi
Jacopo Gabrieli
author_facet Mirko Pavoni
Jacopo Boaga
Alberto Carrera
Stefano Urbini
Fabrizio de Blasi
Jacopo Gabrieli
author_sort Mirko Pavoni
collection DOAJ
description Ice is a rich reservoir of past climate information, and the well-documented increasing rate of glacier retreat represents a great loss for paleoclimate studies. In this framework, the Ice Memory project aims to extract and analyze ice cores from glacier regions worldwide and store them in Antarctica as a heritage record for future generations of scientists. Ice coring projects usually require a focused geophysical investigation, often based on Ground Penetrating Radar (GPR) prospecting to assess the most suitable drilling positions. As a novel approach in the Calderone Glacieret, we integrated the GPR method with Frequency Domain Electromagnetic (FDEM) surveys, a technique not commonly applied in the glacial environment. We used a separated-coils FDEM instrument to characterize the glacieret structure. The acquired FDEM datasets were inverted and compared to the GPR data and borehole information. The results demonstrated the capability of the FDEM technique to define the structure of the glacieret correctly; therefore, the potential to be applied in frozen subsoil environments. This opens new perspectives for the use of the FDEM technique to characterize periglacial environments, such as rock glaciers, where the coarse-blocky surface hinders data acquisition and enhances the problem of signal scattering.
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spelling doaj.art-82c484ef99b6414493517152c35e586b2023-11-18T03:07:42ZengMDPI AGRemote Sensing2072-42922023-05-011510261510.3390/rs15102615Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)Mirko Pavoni0Jacopo Boaga1Alberto Carrera2Stefano Urbini3Fabrizio de Blasi4Jacopo Gabrieli5Department of Geosciences, University of Padova, 35122 Padua, ItalyDepartment of Geosciences, University of Padova, 35122 Padua, ItalyDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35122 Legnaro, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Dipartimento Ambiente, 35137 Rome, ItalyInstitute of Polar Sciences, National Research Council (CNR-ISP), 30100 Venice, ItalyInstitute of Polar Sciences, National Research Council (CNR-ISP), 30100 Venice, ItalyIce is a rich reservoir of past climate information, and the well-documented increasing rate of glacier retreat represents a great loss for paleoclimate studies. In this framework, the Ice Memory project aims to extract and analyze ice cores from glacier regions worldwide and store them in Antarctica as a heritage record for future generations of scientists. Ice coring projects usually require a focused geophysical investigation, often based on Ground Penetrating Radar (GPR) prospecting to assess the most suitable drilling positions. As a novel approach in the Calderone Glacieret, we integrated the GPR method with Frequency Domain Electromagnetic (FDEM) surveys, a technique not commonly applied in the glacial environment. We used a separated-coils FDEM instrument to characterize the glacieret structure. The acquired FDEM datasets were inverted and compared to the GPR data and borehole information. The results demonstrated the capability of the FDEM technique to define the structure of the glacieret correctly; therefore, the potential to be applied in frozen subsoil environments. This opens new perspectives for the use of the FDEM technique to characterize periglacial environments, such as rock glaciers, where the coarse-blocky surface hinders data acquisition and enhances the problem of signal scattering.https://www.mdpi.com/2072-4292/15/10/2615FDEMEMIGPRCalderone Glacieretcryosphereenvironmental geophysics
spellingShingle Mirko Pavoni
Jacopo Boaga
Alberto Carrera
Stefano Urbini
Fabrizio de Blasi
Jacopo Gabrieli
Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)
Remote Sensing
FDEM
EMI
GPR
Calderone Glacieret
cryosphere
environmental geophysics
title Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)
title_full Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)
title_fullStr Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)
title_full_unstemmed Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)
title_short Combining Ground Penetrating Radar and Frequency Domain Electromagnetic Surveys to Characterize the Structure of the Calderone Glacieret (Gran Sasso d’Italia, Italy)
title_sort combining ground penetrating radar and frequency domain electromagnetic surveys to characterize the structure of the calderone glacieret gran sasso d italia italy
topic FDEM
EMI
GPR
Calderone Glacieret
cryosphere
environmental geophysics
url https://www.mdpi.com/2072-4292/15/10/2615
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