Preprints
https://doi.org/10.5194/gi-2021-33
https://doi.org/10.5194/gi-2021-33

  22 Dec 2021

22 Dec 2021

Review status: this preprint is currently under review for the journal GI.

Leveling airborne geophysical data using a unidirectional variational model

Qiong Zhang, Changchang Sun, Fei Yan, Chao Lv, and Yunqing Liu Qiong Zhang et al.
  • School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China

Abstract. Airborne geophysical data leveling is an indispensable step to the conventional data processing. Traditional data leveling methods mainly explore the leveling error properties in the time and frequency domain. A new technique is proposed to level airborne geophysical data in view of the image space properties of leveling error, including directional distribution property and amplitude variety property. This work applied unidirectional variational model on entire survey data based on the gradient difference between the leveling errors in flight line direction and the tie-line direction. Then spatially adaptive multi-scale model is introduced to iteratively decompose the leveling errors which effectively avoid the difficulty on the parameter selection. Considering the anomaly data with large amplitude may hide the real data level, a leveling preprocessing method is given to construct a smooth field based on the gradient data. The leveling method can automatically extract the leveling errors of the entire survey area simultaneously without the participation of staff members or tie-line control. We have applied the method to the airborne electromagnetic, magnetic data, and apparent conductivity data collected by Ontario Geological Survey to confirm its validity and robustness by comparing the results with the published data.

Qiong Zhang et al.

Status: open (until 20 Feb 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gi-2021-33', Anonymous Referee #1, 10 Jan 2022 reply
    • AC1: 'Reply on RC1', Qiong Zhang, 13 Jan 2022 reply

Qiong Zhang et al.

Qiong Zhang et al.

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Short summary
In airborne survey, the dynamic flight conditions cause the unequal data levels which have serious impact on airborne geophysical data analysis and interpretation. A new technique is proposed to level geophysical data in view of the image space properties. We have confirmed the reliability of the method by applying it to the AEM, magnetic data, and apparent conductivity data. The method can automatically extract the leveling errors without the participation of staff members or tie-line control.