Spreading of Localized Information across an Entire 3D Electrical Resistivity Volume via Constrained EMI Inversion Based on a Realistic Prior Distribution
(2023) In Remote Sensing 15(16).- Abstract
Frequency-domain electromagnetic induction (EMI) methods are commonly used to map vast areas quickly and with minimum logistical efforts. Unfortunately, they are often characterized by a very limited number of frequencies and severe ill-posedness. On the other hand, electrical resistivity tomography (ERT) approaches are usually considered more reliable; for example, they do not require specific calibration procedures and can be easily inverted in 2D/3D. However, ERT surveys are, by far, more demanding and time consuming, allowing for the deployment of a few acquisition lines per day. Ideally, the optimal would be to have the advantages of both approaches: ease of acquisition while keeping robustness and reliability. The present work... (More)
Frequency-domain electromagnetic induction (EMI) methods are commonly used to map vast areas quickly and with minimum logistical efforts. Unfortunately, they are often characterized by a very limited number of frequencies and severe ill-posedness. On the other hand, electrical resistivity tomography (ERT) approaches are usually considered more reliable; for example, they do not require specific calibration procedures and can be easily inverted in 2D/3D. However, ERT surveys are, by far, more demanding and time consuming, allowing for the deployment of a few acquisition lines per day. Ideally, the optimal would be to have the advantages of both approaches: ease of acquisition while keeping robustness and reliability. The present work raises from the necessity to cope with this issue and from the importance of enforcing realistic constraints to the data inversion without being limited to (over)simplistic spatial constraints (for example, characterizing the smooth and/or sharp regularization). Accordingly, the present research demonstrates, by means of synthetic and field data, how the EMI inversion—based on realistic prior models—can be further enhanced by incorporating additional pre-existing pieces of information. While the proposed scheme is quite general, in the specific examples discussed here, these additional pieces of information are, respectively, a reference model along a line across the survey area, and an ERT section. The field EMI results were verified against extensive ground penetrating radar (GPR) measurements and boreholes.
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- author
- Zaru, Nicola ; Rossi, Matteo LU ; Vacca, Giuseppina and Vignoli, Giulio
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- electrical resistivity tomography, electromagnetic induction, ground penetrating radar, realistic prior distribution, spatially constrained inversion
- in
- Remote Sensing
- volume
- 15
- issue
- 16
- article number
- 3993
- publisher
- MDPI AG
- external identifiers
-
- scopus:85168792434
- ISSN
- 2072-4292
- DOI
- 10.3390/rs15163993
- language
- English
- LU publication?
- yes
- id
- 43f2fe53-bfcf-43ed-9d8a-7ea688e306bc
- date added to LUP
- 2023-10-31 13:39:09
- date last changed
- 2023-11-08 11:00:30
@article{43f2fe53-bfcf-43ed-9d8a-7ea688e306bc,
abstract = {{<p>Frequency-domain electromagnetic induction (EMI) methods are commonly used to map vast areas quickly and with minimum logistical efforts. Unfortunately, they are often characterized by a very limited number of frequencies and severe ill-posedness. On the other hand, electrical resistivity tomography (ERT) approaches are usually considered more reliable; for example, they do not require specific calibration procedures and can be easily inverted in 2D/3D. However, ERT surveys are, by far, more demanding and time consuming, allowing for the deployment of a few acquisition lines per day. Ideally, the optimal would be to have the advantages of both approaches: ease of acquisition while keeping robustness and reliability. The present work raises from the necessity to cope with this issue and from the importance of enforcing realistic constraints to the data inversion without being limited to (over)simplistic spatial constraints (for example, characterizing the smooth and/or sharp regularization). Accordingly, the present research demonstrates, by means of synthetic and field data, how the EMI inversion—based on realistic prior models—can be further enhanced by incorporating additional pre-existing pieces of information. While the proposed scheme is quite general, in the specific examples discussed here, these additional pieces of information are, respectively, a reference model along a line across the survey area, and an ERT section. The field EMI results were verified against extensive ground penetrating radar (GPR) measurements and boreholes.</p>}},
author = {{Zaru, Nicola and Rossi, Matteo and Vacca, Giuseppina and Vignoli, Giulio}},
issn = {{2072-4292}},
keywords = {{electrical resistivity tomography; electromagnetic induction; ground penetrating radar; realistic prior distribution; spatially constrained inversion}},
language = {{eng}},
number = {{16}},
publisher = {{MDPI AG}},
series = {{Remote Sensing}},
title = {{Spreading of Localized Information across an Entire 3D Electrical Resistivity Volume via Constrained EMI Inversion Based on a Realistic Prior Distribution}},
url = {{http://dx.doi.org/10.3390/rs15163993}},
doi = {{10.3390/rs15163993}},
volume = {{15}},
year = {{2023}},
}