Articles | Volume 13, issue 1
https://doi.org/10.5194/gi-13-193-2024
https://doi.org/10.5194/gi-13-193-2024
Research article
 | 
26 Jun 2024
Research article |  | 26 Jun 2024

Airborne electromagnetic data levelling based on the structured variational method

Qiong Zhang, Xin Chen, Zhonghang Ji, Fei Yan, Zhengkun Jin, and Yunqing Liu

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Cited articles

Bandy, W. L., Gangi, A. F., and Morgan, F. D.: Direct method for determining constant corrections to geophysical survey lines for reducing mis-tie, Geophysics, 55, 885–896, https://doi.org/10.1190/1.1442903, 1990. 
Beiki, M., Bastani, M., and Pedersen, L. B.: Leveling HEM and aeromagnetic data using differential polynomial fitting, Geophysics, 75, 13–23, https://doi.org/10.1190/1.3279792, 2010. 
Bertsekas, D. P.: Constrained optimization and Lagrange Multiplier methods, Computer Science and Applied Mathematics, Academic Press, Boston, MA, USA, ISBN 1886529043, 1982. 
Davydenko, A. Y. and Grayver, A. V.: Principal component analysis for filtering and leveling of geophysical data, J. Appl. Geophys., 109, 266–280, https://doi.org/10.1016/j.jappgeo.2014.08.006, 2014. 
Eppelbaum, L. V. and Mishne, A. R.: Unmanned Airborne Magnetic and VLF investigations: Effective Geophysical Methodology of the Near Future, Positioning, 2, 112–133, https://doi.org/10.4236/pos.2011.23012, 2011. 
Short summary
In an airborne survey, dynamic flight conditions cause unequal data levels, which have a serious impact on airborne geophysical data analysis and interpretation. A new technique is proposed to level geophysical data, and we confirm the reliability of the method by applying it to magnetic data and apparent conductivity data. The method can automatically extract the levelling errors without the participation of staff members or tie line control.