Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3489-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3489-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Aug 2022
Data description paper |
| 02 Aug 2022
| 02 Aug 2022
The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation
Jie Chen
Innovation Center for FengYun Meteorological Satellite, National
Satellite Meteorological Center (National Center for Space Weather), China
Meteorological Administration, Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for
Environmental Satellites, National Satellite Meteorological Center (National
Center for Space Weather), China Meteorological Administration, Beijing
100081, China
Qi Yao
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100091, China
Ziyue Chen
CORRESPONDING AUTHOR
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100091, China
Manchun Li
School of Geography and Ocean Sciences, Nanjing University, Nanjing 210008, China
Zhaozhan Hao
College of Land Science and Technology, China Agricultural
University, Beijing 100083, China
Cheng Liu
Innovation Center for FengYun Meteorological Satellite, National
Satellite Meteorological Center (National Center for Space Weather), China
Meteorological Administration, Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for
Environmental Satellites, National Satellite Meteorological Center (National
Center for Space Weather), China Meteorological Administration, Beijing
100081, China
Wei Zheng
Innovation Center for FengYun Meteorological Satellite, National
Satellite Meteorological Center (National Center for Space Weather), China
Meteorological Administration, Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for
Environmental Satellites, National Satellite Meteorological Center (National
Center for Space Weather), China Meteorological Administration, Beijing
100081, China
Miaoqing Xu
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100091, China
Xiao Chen
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100091, China
Jing Yang
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100091, China
Qiancheng Lv
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100091, China
Bingbo Gao
CORRESPONDING AUTHOR
College of Land Science and Technology, China Agricultural
University, Beijing 100083, China
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Cited
18 citations as recorded by crossref.
- Near Real-Time Monitoring of Fire Spots Using a Novel SBT-FireNet Based on Himawari-8 Satellite Images Z. Hong et al. 10.1109/JSTARS.2023.3338448
- Enhancing the Quality of FY-3D MERSI-II TIR Images: An Application to Improve Sea Ice Lead Detection L. Zhang et al. 10.1109/TGRS.2024.3415172
- Study of the Application of FY-3D/MERSI-II Far-Infrared Data in Wildfire Monitoring W. Zheng et al. 10.3390/rs15174228
- Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. 10.5194/essd-16-3495-2024
- Spatial Quality Enhancement for Wide View Angle Images: A Sensor-Specific Preprocessing Algorithm Case Study on FY-3D MERSI-II S. Miao et al. 10.1109/TGRS.2024.3386157
- Key technologies of the emergency platform in China H. Yuan et al. 10.1016/j.jnlssr.2022.10.001
- The division of PM2.5-O3 composite airborne pollution across China based on spatiotemporal clustering J. Yang et al. 10.1016/j.jclepro.2023.136706
- The Capabilities of FY-3D/MERSI-II Sensor to Detect and Quantify Thermal Volcanic Activity: The 2020–2023 Mount Etna Case Study S. Aveni et al. 10.3390/rs15102528
- Evaluation of the Radiometric Performance of FY-3D MERSI-II Using Dome C, Antarctica Z. Yin et al. 10.1109/JSTARS.2024.3426968
- An adapted hourly Himawari-8 fire product for China: principle, methodology and verification J. Chen et al. 10.5194/essd-15-1911-2023
- A Novel Algorithm of Haze Identification Based on FY3D/MERSI-II Remote Sensing Data Y. Si et al. 10.3390/rs15020438
- Estimates of Global Forest Fire Carbon Emissions Using FY-3 Active Fires Product Y. Liu & Y. Shi 10.3390/atmos14101575
- Wildfire monitoring technologies of transmission line corridors based on Fengyun-3E satellite imaging J. Li et al. 10.3389/fenrg.2023.1265516
- Smoke and Flame Identification Method for the Entire Process of Grassland Fire Based on YOLOv5m-D and Static and Dynamic Characteristics W. Li et al. 10.1109/ACCESS.2023.3346504
- Global wildfire activity re-visited O. Dube 10.1016/j.gloenvcha.2024.102894
- Estimation of reference evapotranspiration in South Korea using GK-2A AMI channel data and a tree-based machine learning method B. Kim & J. Cha 10.1016/j.srs.2024.100171
- Application of FY-4B Geostationary Meteorological Satellite in Grassland Fire Dynamic Monitoring J. Chen et al. 10.1109/TGRS.2023.3274630
- Assessing the Impact of Straw Burning on PM2.5 Using Explainable Machine Learning: A Case Study in Heilongjiang Province, China Z. Xu et al. 10.3390/su16177315
18 citations as recorded by crossref.
- Near Real-Time Monitoring of Fire Spots Using a Novel SBT-FireNet Based on Himawari-8 Satellite Images Z. Hong et al. 10.1109/JSTARS.2023.3338448
- Enhancing the Quality of FY-3D MERSI-II TIR Images: An Application to Improve Sea Ice Lead Detection L. Zhang et al. 10.1109/TGRS.2024.3415172
- Study of the Application of FY-3D/MERSI-II Far-Infrared Data in Wildfire Monitoring W. Zheng et al. 10.3390/rs15174228
- Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. 10.5194/essd-16-3495-2024
- Spatial Quality Enhancement for Wide View Angle Images: A Sensor-Specific Preprocessing Algorithm Case Study on FY-3D MERSI-II S. Miao et al. 10.1109/TGRS.2024.3386157
- Key technologies of the emergency platform in China H. Yuan et al. 10.1016/j.jnlssr.2022.10.001
- The division of PM2.5-O3 composite airborne pollution across China based on spatiotemporal clustering J. Yang et al. 10.1016/j.jclepro.2023.136706
- The Capabilities of FY-3D/MERSI-II Sensor to Detect and Quantify Thermal Volcanic Activity: The 2020–2023 Mount Etna Case Study S. Aveni et al. 10.3390/rs15102528
- Evaluation of the Radiometric Performance of FY-3D MERSI-II Using Dome C, Antarctica Z. Yin et al. 10.1109/JSTARS.2024.3426968
- An adapted hourly Himawari-8 fire product for China: principle, methodology and verification J. Chen et al. 10.5194/essd-15-1911-2023
- A Novel Algorithm of Haze Identification Based on FY3D/MERSI-II Remote Sensing Data Y. Si et al. 10.3390/rs15020438
- Estimates of Global Forest Fire Carbon Emissions Using FY-3 Active Fires Product Y. Liu & Y. Shi 10.3390/atmos14101575
- Wildfire monitoring technologies of transmission line corridors based on Fengyun-3E satellite imaging J. Li et al. 10.3389/fenrg.2023.1265516
- Smoke and Flame Identification Method for the Entire Process of Grassland Fire Based on YOLOv5m-D and Static and Dynamic Characteristics W. Li et al. 10.1109/ACCESS.2023.3346504
- Global wildfire activity re-visited O. Dube 10.1016/j.gloenvcha.2024.102894
- Estimation of reference evapotranspiration in South Korea using GK-2A AMI channel data and a tree-based machine learning method B. Kim & J. Cha 10.1016/j.srs.2024.100171
- Application of FY-4B Geostationary Meteorological Satellite in Grassland Fire Dynamic Monitoring J. Chen et al. 10.1109/TGRS.2023.3274630
- Assessing the Impact of Straw Burning on PM2.5 Using Explainable Machine Learning: A Case Study in Heilongjiang Province, China Z. Xu et al. 10.3390/su16177315
Latest update: 22 Nov 2024
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.
The potential degradation of mainstream global fire products leads to large uncertainty in the...
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