Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/gi-13-193-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-13-193-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
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

Viewed

Total article views: 670 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
507 127 36 670 27 28
  • HTML: 507
  • PDF: 127
  • XML: 36
  • Total: 670
  • BibTeX: 27
  • EndNote: 28
Views and downloads (calculated since 26 Mar 2024)
Cumulative views and downloads (calculated since 26 Mar 2024)

Viewed (geographical distribution)

Total article views: 670 (including HTML, PDF, and XML) Thereof 644 with geography defined and 26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
Download
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.
Read more