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Conference Paper

Propagation of signal-to-noise ratio into semi-airborne EM inversions

Authors

Plett,  J.
30. Kolloquium, 2023, Schmucker-Weidelt-Kolloquium für Elektromagnetische Tiefenforschung EMTF, External Organizations;

Kotowski,  P.O.
30. Kolloquium, 2023, Schmucker-Weidelt-Kolloquium für Elektromagnetische Tiefenforschung EMTF, External Organizations;

Becken,  M.
30. Kolloquium, 2023, Schmucker-Weidelt-Kolloquium für Elektromagnetische Tiefenforschung EMTF, External Organizations;

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Fulltext (public)

EMTF_2023_St_Marienthal_24_Plett.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Plett, J., Kotowski, P., Becken, M. (2024): Propagation of signal-to-noise ratio into semi-airborne EM inversions. - In: Börner, J., Yogeshwar, P. (Eds.), - Protokoll über das 30. Schmucker-Weidelt-Kolloquium für Elektromagnetische Tiefenforschung: St. Marienthal, 25. September - 29. September 2023, 30. Schmucker-Weidelt-Kolloquium für Elektromagnetische Tiefenforschung (St. Marienthal 2023), 124-124, 1 p.


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026170
Abstract
Semi-airborne EM (sAEM) transfer functions are estimated by regression over Fourier coefficients over a (small) number of time windows and binned frequencies. The estimation error is determined from the prediction error. However, Fourier coefficients themselves are afflicted with noise and thus erroneously estimated. Here, we make an attempt to incorporate the noise level as weighting coefficients in a weighted least squares regression (WLS). Reliable error estimates are crucial for inverting data; we show 2D inversion results with new error estimates for a test data set using a scalar magnetometer (OPM).