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The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation
Earth System Science Data ( IF 11.4 ) Pub Date : 2022-08-02 , DOI: 10.5194/essd-14-3489-2022 Jie Chen , Qi Yao , Ziyue Chen , Manchun Li , Zhaozhan Hao , Cheng Liu , Wei Zheng , Miaoqing Xu , Xiao Chen , Jing Yang , Qiancheng Lv , Bingbo Gao
Earth System Science Data ( IF 11.4 ) Pub Date : 2022-08-02 , DOI: 10.5194/essd-14-3489-2022 Jie Chen , Qi Yao , Ziyue Chen , Manchun Li , Zhaozhan Hao , Cheng Liu , Wei Zheng , Miaoqing Xu , Xiao Chen , Jing Yang , Qiancheng Lv , Bingbo Gao
Wildfires have a strong negative effect on the environment, ecology
and public health. However, the potential degradation of mainstream global
fire products leads to large uncertainty in the effective monitoring of wildfires and their influence. To fill this gap, we produced Fengyun-3D (FY-3D) global fire
products with a similar spatial and temporal resolution, aiming to serve as
an alternative to and continuity for Moderate Resolution Imaging Spectroradiometer (MODIS) global fire products. Firstly, the
sensor parameters and major algorithms for noise detection and fire
identification in FY-3D products were introduced. For visual-check-based
accuracy assessment, five typical regions with a large number of fire spots across the globe, Africa, South America, the Indochinese
Peninsula, Siberia and Australia, were selected, and the
overall accuracy exceeded 94 %. Meanwhile, the consistence between FY-3D
and MODIS fire products was examined. The result suggested that the overall
consistence was 84.4 %, with a fluctuation across seasons, surface types
and regions. The high accuracy and consistence with MODIS products proved
that the FY-3D fire product is an ideal tool for global fire monitoring. Based
on field-collected reference data, we further evaluated the suitability of
FY-3D fire products in China. The overall accuracy and accuracy without
considering omission errors were 79.43 % and 88.50 %
higher, respectively, than those of MODIS fire products. Since detailed local geographical
conditions were specifically considered, FY-3D products should be preferably
employed for fire monitoring in China. The FY-3D fire dataset can be downloaded at http://satellite.nsmc.org.cn/portalsite/default.aspx (NSMC, 2021) or at http://figshare.com (last access: 10 January 2021) with the following identifier DOI: https://doi.org/10.6084/m9.figshare.20102210 (Chen et al., 2022).
更新日期：2022-08-03
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