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An adapted hourly Himawari-8 fire product for China: principle, methodology and verification.
- 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]
- Subjects :
- METEOROLOGICAL satellites
FIRE alarms
PUBLIC safety
FALSE alarms
DATABASES
Subjects
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