Articles | Volume 14, issue 8
Data description paper
02 Aug 2022
Data description paper |  | 02 Aug 2022

The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation

Jie Chen, Qi Yao, Ziyue Chen, Manchun Li, Zhaozhan Hao, Cheng Liu, Wei Zheng, Miaoqing Xu, Xiao Chen, Jing Yang, Qiancheng Lv, and Bingbo Gao

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Cited articles

Abram, N. J., Henley, B. J., and Sen Gupta, A.: Connections of climate change and variability to large and extreme forest fires in southeast Australia, Commun. Earth Environ., 2, 8,, 2021. 
Alisjahbana, A. S. and Busch, J. M.: Forestry, Forest Fires, and Climate Change in Indonesia, Bull. Indones. Econ. Stud., 53, 111–136,, 2017. 
Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., and Randerson, J. T.: The Global Fire Atlas of individual fire size, duration, speed and direction, Earth Syst. Sci. Data, 11, 529–552,, 2019. 
Barnes, B. B., Cannizzaro, J. P., English, D. C., and Hu, C.: Validation of VIIRS and MODIS reflectance data in coastal and oceanic waters: An assessment of methods, Remote Sens. Environ., 220, 110–123,, 2019. 
Boles, S. H. and Verbyla, D. L.: Comparison of three AVHRR-based fire detection algorithms for interior Alaska, Remote Sens. Environ., 72, 1–16,, 2000. 
Short summary
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 a Fengyun-3D (FY-3D) global active fire product with a similar spatial and temporal resolution to MODIS fire products, aiming to serve as continuity and a replacement for MODIS fire products. The FY-3D fire product is an ideal tool for global fire monitoring and can be preferably employed for fire monitoring in China.
Final-revised paper