Quantitative Multi-Layer Electromagnetic Induction Inversion and Full-Waveform Inversion of Crosshole Ground Penetrating Radar Data
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Title: | Main Title: Quantitative Multi-Layer Electromagnetic Induction Inversion and Full-Waveform Inversion of Crosshole Ground Penetrating Radar Data |
Description: | Abstract: Due to the recent system developments for the electromagnetic characterization of the subsurface, fast and easy acquisition is made feasible due to the fast measurement speed, easy coupling with GPS systems, and the availability of multi-channel electromagnetic induction (EMI) and ground penetrating radar (GPR) systems. Moreover, the increasing computer power enables the use of accurate forward modeling programs in advanced inversion algorithms where no approximations are used and the full information content of the measured data can be exploited. Here, recent developments of large-scale quantitative EMI inversion and full-waveform GPR inversion are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches. In both cases a detailed forward model is used in the inversion procedure that is based on Maxwell’s equations. The multi-channel EMI data that have different sensing depths for the different source-receiver offset are calibrated using a short electrical resistivity tomography (ERT) calibration line which makes it possible to invert for electrical conductivity changes with depth over large areas. The crosshole GPR full-waveform inversion yields significant higher resolution of the permittivity and conductivity images compared to ray-based inversion results. |
Identifier: | 10.1007/s12583- 015-0610-3 (DOI) |
Citation Advice: | van der Kruk, J., Gueting, N., Klotzsche, A., et al., 2015. Quantitative Multi-Layer Electromagnetic Induction Inversion and Full-Waveform Inversion of Crosshole Ground Penetrating Radar Data. Journal of Earth Science, 26(6): 844–850. doi:10.1007/s12583-015-0610-3. |
Responsible Party
Creators: | Jan van der Kruk (Author), Nils Güting (Author), Anja Klotzsche (Author), Guowei He (Author), Sebastian Rudolph (Author), Christian von Hebel (Author), Xi Yang (Author), Lutz Weihermüller (Author), Achim Mester (Author), Harry Vereecken (Author) |
Publisher: | Springer |
Publication Year: | 2016 |
Topic
TR32 Topic: | Soil |
Related Subproject: | B6 |
Subject: | Keyword: Soil Texture |
File Details
Filename: | vanderKruk_etal2015.pdf |
Data Type: | Text - Article |
File Size: | 573 KB |
Date: | Available: 01.12.2015 |
Mime Type: | application/pdf |
Data Format: | |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Only Project Members |
General Access and Use Conditions: | According to the TR32DB data policy agreement. |
Access Limitations: | According to the TR32DB data policy agreement. |
Licence: | [TR32DB] Data policy agreement |
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Specific Information - Publication
Publication Status: | Published |
Review Status: | Peer reviewed |
Publication Type: | Article |
Article Type: | Journal |
Source: | Journal of Earth Science |
Issue: | 6 |
Volume: | 26 |
Number of Pages: | 7 (844 - 850) |
Metadata Details
Metadata Creator: | Christian von Hebel |
Metadata Created: | 12.10.2016 |
Metadata Last Updated: | 12.10.2016 |
Subproject: | B6 |
Funding Phase: | 3 |
Metadata Language: | English |
Metadata Version: | V50 |
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Dataset Downloads: | 1 |
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