Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 5
Articles | Volume 15, issue 5
https://doi.org/10.5194/essd-15-1911-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-1911-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 5
Data description paper
 | 
09 May 2023
Data description paper |  | 09 May 2023

An adapted hourly Himawari-8 fire product for China: principle, methodology and verification

Jie Chen, Qiancheng Lv, Shuang Wu, Yelu Zeng, Manchun Li, Ziyue Chen, Enze Zhou, Wei Zheng, Cheng Liu, Xiao Chen, Jing Yang, and Bingbo Gao

Viewed

Total article views: 2,302 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,632 551 119 2,302 81 96
  • HTML: 1,632
  • PDF: 551
  • XML: 119
  • Total: 2,302
  • BibTeX: 81
  • EndNote: 96
Views and downloads (calculated since 16 Jan 2023)
Cumulative views and downloads (calculated since 16 Jan 2023)

Viewed (geographical distribution)

Total article views: 2,302 (including HTML, PDF, and XML) Thereof 2,244 with geography defined and 58 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
The Himawari-8 fire product is the mainstream fire product with the highest temporal resolution, yet it presents large uncertainties and is not suitable for reliable real-time fire monitoring in China. To address this issue, we proposed an adaptive hourly NSMC (National Satellite Meteorological Center) Himawari-8 fire product for China; the overall accuracy increased from 54 % (original Himawari product) to 80 %. This product can largely enhance real-time fire monitoring and relevant research.
Read more
Altmetrics
Final-revised paper
Preprint