Keil, Sabrina
ORCID: 0000-0003-0503-2020; Schimmel, Martin; Igel, Heiner
(2026):
Evaluating Seismic Ambient Noise Techniques for Detecting Ice‐Bearing Rocks on the Moon.
Earth and Space Science, 12 (9): e2025EA004.
ISSN 2333-5084
Published Article
Earth_and_Space_Science_-_2025_-_Keil_-_Evaluating_Seismic_Ambient_Noise_Techniques_for_Detecting_Ice‐Bearing_Rocks_on_the.pdf
Abstract
One of the primary objectives of upcoming lunar missions is to locate ice-bearing rocks at the South Pole. While evidence for their presence exists, the exact distribution and quantity remain uncertain. In this study, we evaluate the potential of seismic ambient noise techniques—including seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and rotational measurements—for detecting ice-bearing rocks on the Moon. To achieve this, we perform 2D numerical simulations using a digital twin model of the shallow subsurface, incorporating high-velocity heterogeneities. Hereby, the resolution limits of the different methods are evaluated. Phase velocity dispersion curves of Rayleigh waves are extracted from DAS and rotational data, while group velocity dispersion curves are derived from interferometry. The strong scattering effects of the lunar regolith, in particular, influence the seismic interferometry results for large inter-station distances. While all methods reveal clear signatures of ice-bearing rocks due to the strong velocity increase, even for small weight percentages of ice, a combination of techniques is needed to achieve accurate resolution of depth, width, and ice content.
Key Points:
The weight percentage of ice significantly impacts seismic measurements such as amplitudes, H/V spectral ratios, and dispersion curves
Single-station methods provide high spatial resolution but require a dense network, while distributed acoustic sensing or interferometry are a good alternative
Seismic ambient noise techniques are suitable for detecting ice-bearing rocks under simplified assumptions
| Doc-Type: | Article (LMU) |
|---|---|
| Organisational unit (Faculties): | 20 Geosciences > Department of Earth and Environmental Sciences > Geophysics |
| DFG subject classification of scientific disciplines: | Natural sciences |
| Date Deposited: | 25. Feb 2026 07:44 |
| Last Modified: | 25. Feb 2026 07:44 |
| URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/2295 |
| DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 491502892 |
| DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 518204048 |
| DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 517291159 |
