Dr. Philipp Koyan

https://orcid.org/0000-0002-3647-7260

Zeitschriftenartikel

Roncoroni, G., Koyan, P., Forte, E., Tronicke, J., and Pipan, M., 2025: A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms: Scientific Data. doi: https://doi.org/10.1038/s41597-024-04300-1.

Koyan, P., Tronicke, J., 2024: 3D ground-penetrating radar data analysis and interpretation using attributes based on the gradient structure tensor. Geophysics. doi: https://doi.org/10.1190/geo2023-0670.1.

Allroggen, N., Heincke, B.H., Koyan, P., Wheeler, W., Rønning, J.S., 2022: 3D ground-penetrating radar attribute classification: A case study from a paleokarst breccia pipe in the Billefjorden area on Spitsbergen, Svalbard. Geophysics. doi:  https://doi.org/10.1190/geo2021-0651.1

Koyan, P., Tronicke, J., Allroggen, N, 2021: 3D ground-penetrating radar attributes to generate classified facies models: A case study from a dune island. Geophysics. doi: https://doi.org/10.1190/geo2021-0204.1. Vorgestellt in: Behura, J., 2022: Geophysics Bright Spots. The Leading Edge. doi: https://doi.org/10.1190/tle41010062.1.

Koyan, P., Tronicke, J., 2020: 3D modeling of ground-penetrating radar data across a realistic sedimentary model. Computers and Geosciences. doi: https://doi.org/10.1016/j.cageo.2020.104422.

Konferenzbeiträge

Koyan, P., Guillemoteau, J., Klose, T., and Tronicke, J., 2024: 3D ground-penetrating radar to characterize near-surface environments: Advances in data analysis and integrated geophysical interpretation. In: EGU General Assembly 2024, Vienna. doi: https://doi.org/10.5194/egusphere-egu24-3588

Rulff, P., Castillo-Reyes, O., Koyan, P., Martin, T., Deleersnyder, W., and Carrizo Mascarell, M., 2024: Geoelectrical and electromagnetic imaging methods applied to groundwater systems: recent advances and future potentials. In: EGU General Assembly 2024, Vienna, doi: https://doi.org/10.5194/egusphere-egu24-654

Koyan, P., Tronicke, J., Klose, T., Guillemoteau, J., 2023: 3D GPR to explore peat deposits: Strategies for data acquisition, processing, and interpretation. In: 12th International Workshop on Advanced Ground Penetrating Radar, Lisbon, doi: 10.1109/IWAGPR57138.2023.10329077.   

Klose, T., Guillemoteau, J., Vignoli, G., Koyan, P., Walter, J., Herrmann, A., Tronicke, J., 2023: Structurally-constrained FD-EMI data inversion using a Minimum Gradient Support (MGS) regularization. In: EGU General Assembly 2023, Vienna. doi: https://doi.org/10.5194/egusphere-egu23-7067.

Koyan, P., Tronicke, J., 2023: The gradient structure tensor (GST): An efficient tool to analyze 3D GPR data for archaeological prospection. In: 15th International Conference of Archaeological Prospection, Kiel. doi: 10.38072/978-3-928794-83-1/p86.

Koyan, P., Tronicke, J., 2022:  3D Classified GPR Facies Models from Multi-frequency Data Volumes: A Synthetic Study. In: 19th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2022-042.1.

Koyan, P., Tronicke, J., 2020: Analyzing 3D multi-frequency ground-penetrating radar (GPR) data simulated across a realistic sedimentary model. In: 18th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2020-073.1.

J. Tronicke, Koyan, P., Allroggen, N., 2020. The redundant wavelet transform to process and interpret GPR data. In: 18th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2020-104.1.

Koyan, P., Tronicke, J., Allroggen, N., Kathage, A., Willmes, M., 2018. Estimating moisture changes in concrete using GPR velocity analysis: potential and limitations. In:  17th International Conference On Ground Penetrating Radar (GPR), Rapperswil (CH). doi: 10.1109/ICGPR.2018.8441572.

Guillemoteau, J., Koyan, P., Tronicke, J., 2017: Processing of Densely Sampled Electromagnetic Induction Data Collected across Peat Deposits. In: 23rd European Meeting of Environmental and Engineering Geophysics, Malmö (Sweden). doi: https://doi.org/10.3997/2214-4609.201701983.

Datensätze

Koyan, P., Tronicke, J., 2019. A synthetic 3D ground-penetrating radar (GPR) data set across a realistic sedimentary model. Mendeley Data, V1. doi: https://doi.org/10.17632/by3yh79hx4.1

Koyan, P., Roncoroni, G., Tronicke, J., 2025. A synthetic 3D ground-penetrating radar (GPR) data set across a realistic sedimentary model. Mendeley Data, V2. doi: https://doi.org/10.17632/by3yh79hx4.2

Eingeladene Vorträge

Koyan, P., 2020. 3D GPR data simulated across a realistic sedimentary model: Modelling, analyses and applications. (Online Workshop on Ground-Penetrating Radar modelling using gprMax, Newcastle upon Tyne 2020). link: https://www.youtube.com/watch?v=sw5zncmyKU0