Hauptseite > Publikationsdatenbank > Quantitative multi-layer electromagnetic induction inversion and full-waveform inversion of crosshole ground penetrating radar data > print |
001 | 279858 | ||
005 | 20210129221142.0 | ||
024 | 7 | _ | |2 doi |a 10.1007/s12583-015-0610-3 |
024 | 7 | _ | |2 ISSN |a 1674-487X |
024 | 7 | _ | |2 ISSN |a 1867-111X |
024 | 7 | _ | |2 Handle |a 2128/9605 |
024 | 7 | _ | |2 WOS |a WOS:000365934000011 |
024 | 7 | _ | |a altmetric:6629344 |2 altmetric |
037 | _ | _ | |a FZJ-2015-07736 |
082 | _ | _ | |a 550 |
100 | 1 | _ | |0 P:(DE-Juel1)129561 |a van der Kruk, Jan |b 0 |e Corresponding author |
245 | _ | _ | |a Quantitative multi-layer electromagnetic induction inversion and full-waveform inversion of crosshole ground penetrating radar data |
260 | _ | _ | |a Wuhan |b China Univ. of Geosciences |c 2015 |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1450346443_16043 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a article |2 DRIVER |
520 | _ | _ | |a 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. |
536 | _ | _ | |0 G:(DE-HGF)POF3-255 |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |c POF3-255 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |0 P:(DE-Juel1)158035 |a Güting, Nils |b 1 |
700 | 1 | _ | |0 P:(DE-Juel1)129483 |a Klotzsche, Anja |b 2 |
700 | 1 | _ | |0 P:(DE-Juel1)161461 |a He, Guowei |b 3 |
700 | 1 | _ | |0 P:(DE-Juel1)143809 |a Rudolph, Sebastian |b 4 |
700 | 1 | _ | |0 P:(DE-Juel1)145932 |a von Hebel, Christian |b 5 |
700 | 1 | _ | |0 P:(DE-Juel1)138922 |a Yang, Xi |b 6 |
700 | 1 | _ | |0 P:(DE-Juel1)129553 |a Weihermüller, Lutz |b 7 |
700 | 1 | _ | |0 P:(DE-Juel1)140421 |a Mester, Achim |b 8 |
700 | 1 | _ | |0 P:(DE-Juel1)129549 |a Vereecken, Harry |b 9 |
773 | _ | _ | |0 PERI:(DE-600)2501172-8 |a 10.1007/s12583-015-0610-3 |g Vol. 26, no. 6, p. 844 - 850 |n 6 |p 844 - 850 |t Journal of earth science |v 26 |x 1867-111X |y 2015 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/279858/files/JES_vanderkruk_revision2.pdf |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/279858/files/JES_vanderkruk_revision2.gif?subformat=icon |x icon |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/279858/files/JES_vanderkruk_revision2.jpg?subformat=icon-1440 |x icon-1440 |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/279858/files/JES_vanderkruk_revision2.jpg?subformat=icon-180 |x icon-180 |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/279858/files/JES_vanderkruk_revision2.jpg?subformat=icon-640 |x icon-640 |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/279858/files/JES_vanderkruk_revision2.pdf?subformat=pdfa |x pdfa |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:279858 |p openaire |p open_access |p driver |p VDB:Earth_Environment |p VDB |p dnbdelivery |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)129561 |a Forschungszentrum Jülich GmbH |b 0 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)158035 |a Forschungszentrum Jülich GmbH |b 1 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)129483 |a Forschungszentrum Jülich GmbH |b 2 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)161461 |a Forschungszentrum Jülich GmbH |b 3 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)145932 |a Forschungszentrum Jülich GmbH |b 5 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)129553 |a Forschungszentrum Jülich GmbH |b 7 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)140421 |a Forschungszentrum Jülich GmbH |b 8 |k FZJ |
910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)129549 |a Forschungszentrum Jülich GmbH |b 9 |k FZJ |
913 | 1 | _ | |0 G:(DE-HGF)POF3-255 |1 G:(DE-HGF)POF3-250 |2 G:(DE-HGF)POF3-200 |a DE-HGF |l Terrestrische Umwelt |v Terrestrial Systems: From Observation to Prediction |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
914 | 1 | _ | |y 2015 |
915 | _ | _ | |0 StatID:(DE-HGF)0200 |2 StatID |a DBCoverage |b SCOPUS |
915 | _ | _ | |0 StatID:(DE-HGF)1040 |2 StatID |a DBCoverage |b Zoological Record |
915 | _ | _ | |0 StatID:(DE-HGF)0100 |2 StatID |a JCR |b J EARTH SCI-CHINA : 2014 |
915 | _ | _ | |0 StatID:(DE-HGF)0150 |2 StatID |a DBCoverage |b Web of Science Core Collection |
915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
915 | _ | _ | |0 StatID:(DE-HGF)0111 |2 StatID |a WoS |b Science Citation Index Expanded |
915 | _ | _ | |0 StatID:(DE-HGF)9900 |2 StatID |a IF < 5 |
915 | _ | _ | |0 StatID:(DE-HGF)0400 |2 StatID |a Allianz-Lizenz / DFG |
915 | _ | _ | |0 StatID:(DE-HGF)0310 |2 StatID |a DBCoverage |b NCBI Molecular Biology Database |
915 | _ | _ | |0 StatID:(DE-HGF)0420 |2 StatID |a Nationallizenz |
915 | _ | _ | |0 StatID:(DE-HGF)0199 |2 StatID |a DBCoverage |b Thomson Reuters Master Journal List |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
980 | 1 | _ | |a UNRESTRICTED |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|