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: 782 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
617 130 35 782 70 78
  • HTML: 617
  • PDF: 130
  • XML: 35
  • Total: 782
  • BibTeX: 70
  • EndNote: 78
Views and downloads (calculated since 19 Nov 2024)
Cumulative views and downloads (calculated since 19 Nov 2024)

Viewed (geographical distribution)

Total article views: 782 (including HTML, PDF, and XML) Thereof 780 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Aug 2025
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