Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/amt-18-2333-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-2333-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Research article
 | 
03 Jun 2025
Research article |  | 03 Jun 2025

A channel selection methodology for enhancing volcanic SO2 monitoring using FY-3E/HIRAS-II hyperspectral data

Xinyu Li, Lin Zhu, Hongfu Sun, Jun Li, Ximing Lv, Chengli Qi, and Huanhuan Yan

Viewed

Total article views: 2,265 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,538 566 161 2,265 185 197
  • HTML: 1,538
  • PDF: 566
  • XML: 161
  • Total: 2,265
  • BibTeX: 185
  • EndNote: 197
Views and downloads (calculated since 19 Nov 2024)
Cumulative views and downloads (calculated since 19 Nov 2024)

Viewed (geographical distribution)

Total article views: 2,265 (including HTML, PDF, and XML) Thereof 2,195 with geography defined and 70 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 19 Sep 2026
Download
Short summary
This paper proposes a novel methodology for selecting sulfur-dioxide-sensitive channels from FY-3E/HIRAS-II hyperspectral IR atmospheric sensors to quantitatively monitor volcanic sulfur dioxide. This methodology considers the interference of atmospheric temperature, humidity, and surface temperature with sulfur dioxide detection and retrieval, laying the groundwork for developing a more accurate and flexible volcanic sulfur dioxide retrieval algorithm under different atmospheric conditions.
Read more
Share