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

Authors :
Chen, Jie
Lv, Qiancheng
Wu, Shuang
Zeng, Yelu
Li, Manchun
Chen, Ziyue
Zhou, Enze
Zheng, Wei
Liu, Cheng
Chen, Xiao
Yang, Jing
Gao, Bingbo
Source :
Earth System Science Data; 2023, Vol. 15 Issue 5, p1911-1931, 21p
Publication Year :
2023

Abstract

Wildfires exert strong influences on the environment, ecology, economy and public security. However, the existing hourly Himawari-8 fire product produced by the Japan Meteorological Agency (JMA) presents large uncertainties and is not suitable for reliable real-time fire monitoring in China. To fill this gap, the National Satellite Meteorological Center (NSMC) proposed an adaptive hourly Himawari-8 fire product for China based on the original Himawari-8 source by employing a dynamical threshold for fire extraction and a database of ground thermal sources. According to the visually extracted reference and consistency check, we found that the NSMC-Himawari-8 fire product effectively removed a majority of false fire alarms included in the original Himawari-8 fire product. Based on a rare field-collected ground reference dataset, we evaluated the reliability of original Himawari-8 and NSMC-Himawari-8 fire products across China. The overall accuracy of the raw Himawari-8 fire product was 54 % and 59 % (not considering the omission errors), respectively. As a comparison, by identifying more real fire pixels and avoiding a majority of false fire alarms, the overall accuracy of the NSMC-Himawari-8 fire product was 80 % and 84 % (not considering the omission errors), respectively, making it an ideal source for improved real-time fire monitoring across China. This research also provides a useful reference for employing a local dataset of underlying surfaces and thermal sources to enhance the accuracy of global fire products in specific regions. The NSMC-Himawari-8 fire product can be downloaded at http://figshare.com (last access: 17 April 2023) with the following DOI: 10.6084/m9.figshare.21550248 (Chen et al., 2022a). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663508
Volume :
15
Issue :
5
Database :
Complementary Index
Journal :
Earth System Science Data
Publication Type :
Academic Journal
Accession number :
164263006
Full Text :
https://doi.org/10.5194/essd-15-1911-2023