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Dr. Christin Bobe
Universität Osnabrück
Im Oktober 2022 hat Dr. Christin Bobe eine Stelle an der RWTH Aachen angetreten.
Dr. Christin Bobe
Publications
Peer-reviewed journal papers
Bobe, C., Keller, J., & Van De Vijver, E. (2021). Sensitivity and depth of investigation from Monte Carlo ensemble statistics. Geophysical Prospecting, 69, 761-778.
Bobe, C., Hanssens, D., Hermans, T., & Van De Vijver, E. (2020). Efficient Probabilistic Joint Inversion of Direct Current Resistivity and Small-Loop Electromagnetic Data. Algorithms, 13(6), 144.
Bobe, C., Van De Vijver, E., Keller, J., Hanssens, D., Van Meirvenne, M., & De Smedt, P. (2019). Probabilistic 1-D inversion of frequency-domain electromagnetic data using a Kalman ensemble generator. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 58(5), 3287–3297.
Vollprecht, D., Bobe, C., Stiegler, R., Van De Vijver, E., Wolfsberger, T., Küppers, B., & Scholger, R. (2019). Relating magnetic properties of municipal solid waste constituents to iron content : implications for enhanced landfill mining. DETRITUS, 8, 31–46.
Hanssens, Daan, Delefortrie, S., Bobe, C., Hermans, T., and De Smedt, P. (2019). Improving the reliability of soil EC-mapping: robust apparent electrical conductivity (rECa) estimation in ground-based frequency domain electromagnetics. GEODERMA, 337, 1155-1163.
Delefortrie, S., Hanssens, D., Saey, T., Van De Vijver, E., Smetryns, M., Bobe, C., and De Smedt, P. (2019). Validating land-based FDEM data and derived conductivity maps: Assessment of signal calibration, signal attenuation and the impact of heterogeneity. Journal of Applied Geophysics, 164, 179-190.
Thesis
Bobe, C. (2020). Efficient probabilistic processing of frequency-domain electromagnetic data for subsurface modelling. Universiteit Gent. Faculteit Bio-ingenieurswetenschappen.
Peer-reviewed conference papers and oral conference presentations (first author only)
Bobe, C., and Van De Vijver, E. (2019). Offset errors in probabilistic inversion of small-loop frequency-domain electromagnetic data: a synthetic study on their influence on magnetic susceptibility estimation, International workshop on Gravity, Electrics and Magnetics 2019, Xi’an, China.
Bobe, C., Van De Vijver, E., and Van Meirvenne, M. (2018). Exploring the potential of electromagnetic surface measurements for the characterization of industrial landfills. In Proceedings of the 4th international symposium on enhanced landfill mining, pages 45–50. KU Leuven. Sustainable Inorganic Materials Management; i-Cleantech.
Oral conference presentations (first author only)
Bobe, C., Hanssens, D., De Smedt, P., and Van De Vijver, E. (2019). Efficient probabilistic joint inversion using a Kalman ensemble generator. Abstract 581766-S017, 2019 Fall Meeting, AGU, San Francisco, Calif., 9.-13. Dec.
Bobe, C., Van De Vijver, E., and Van Meirvenne, M. (2019). Proposing a statistical interpretation for the depth of investigation. GEOPHYSICAL RESEARCH ABSTRACTS (Vol. 21). Presented at the EGU General Assembly 2019.
Bobe, C., Van De Vijver, E., and Van Meirvenne, M. (2019). Improving geophysical resource exploration using probabilistic inversion methods. COMMUNICATIONS IN AGRICULTURAL AND APPLIED BIOLOGICAL SCIENCES (Vol. 84, pp. 9-9). Presented at the 24th National symposium for Applied Biological Sciences (NSABS 2019).
Bobe, C., Van De Vijver, E., De Smedt, P., Hanssens, D., and Van Meirvenne, M. (2018). Bayesian inversion of loop-loop electromagnetic data using an ensemble Kalman method. In GEOPHYSICAL RESEARCH ABSTRACTS (vol. 20). Presented at the EGU General Assembly 2018.
