Preprints
https://doi.org/10.5194/essd-2022-435
https://doi.org/10.5194/essd-2022-435
 
16 Jan 2023
16 Jan 2023
Status: this preprint is currently under review for the journal ESSD.

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

Jie Chen1,, Qiancheng Lv2,, Shuang Wu3, Yelu Zeng4, Manchun Li5, Ziyue Chen2, Enze Zhou6, Wei Zheng1, Cheng Liu2, Xiao Chen2, Jing Yang2, and Bingbo Gao4 Jie Chen et al.
  • 1Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites National Satellite Meteorological Center (National Center forSpace Weather), China Meteorological Administration and Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
  • 2College of Global Change and Earth System Science, Beijing Normal University, Beijing 100091, China
  • 3Heilongjiang Eco-Meteorology Center, Harbin, Heilongjaing 150030, China
  • 4College of Land Science and Technology, China Agricultural University, Beijing 100083, China
  • 5School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  • 6Electric Power Research Institute Gongdong Power Grid, Guangzhou, Guangdong 510000, China
  • These authors contributed equally to this work.

Abstract. Wild fires exerts strong influences on the environment, ecology, economy and public security. However, the existing hourly JMA-Himawari fire product presents large uncertainties and not suitable for reliable real-time fire monitoring in China. To fill this gap, we proposed an adaptive hourly NSMC-Himawari fire product for China based on the original Himawari source by employing a dynamical threshold for fire-extraction and a database of ground thermal sources. According to the visually-extracted reference and consistence check, we found NSMC-Himawari fire product effectively removed a majority of false fire alarms included in the JMA-Himawari fire product. Based on a rare field-collected ground reference dataset, we evaluated the reliability of JMA-Himawari and NSMC-Himawari fire product across China. The overall accuracy of JMA- Himawari 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 NSMC-Himawari 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 useful reference for employing local dataset of underlying surfaces and thermal sources to enhance the accuracy of global fire products in specific regions. NSMC-Himawari fire product can be downloaded at http://figshare.com (last access: 14 November 2022) with the identifier DOI: https://doi.org/10.6084/m9.figshare.21550248 (Chen et al., 2022).

Jie Chen et al.

Status: open (until 13 Mar 2023)

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Jie Chen et al.

Data sets

NSMC-Himawari fire product for China Chen J. et al https://doi.org/10.6084/m9.figshare.21550248.v1

Jie Chen et al.

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Short summary
Currently, Himawari-8 fire product is the mainstream fire product with the highest temporal resolution, yet presents large uncertainties and 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 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.