Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-183-2022
https://doi.org/10.5194/gi-11-183-2022
Research article
 | 
29 Apr 2022
Research article |  | 29 Apr 2022

Leveling airborne geophysical data using a unidirectional variational model

Qiong Zhang, Changchang Sun, Fei Yan, Chao Lv, and Yunqing Liu

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Interactive discussion

Status: closed

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
    • AC1: 'Reply on RC1', Qiong Zhang, 13 Jan 2022
  • RC2: 'Comment on gi-2021-33', Anonymous Referee #2, 14 Feb 2022
    • AC2: 'Reply on RC2', Qiong Zhang, 18 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Qiong Zhang on behalf of the Authors (24 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Mar 2022) by Lev Eppelbaum
RR by Anonymous Reviewer #2 (15 Mar 2022)
ED: Publish as is (27 Mar 2022) by Lev Eppelbaum
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Short summary
In airborne survey, dynamic flight conditions cause unequal data levels, which seriously impact 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 airborne electromagnetic, magnetic and apparent-conductivity data. The method can automatically extract leveling errors without the participation of staff members or tie-line control.