Applicability Assessment of GFED4 and GFED5 on Forest Fires in Chinese Mainland and Its Fire-Scale Patterns Change
The GFED (Global Fire Emissions Database) series products are widely used in global fire research, yet their applicability in mainland China remains insufficiently evaluated. Additionally, large fires and small fires are rarely studied separately. This study first evaluates GFED4’s applicability for monitoring forest fire burned areas in Chinese mainland (2001–2015) through multi-temporal (annual, seasonal, and monthly) and multi-spatial (national, regional, provincial, and 0.25° grid) analyses, using Pearson correlation (CC), root mean square error (RMSE), and mean error (ME) alongside official statistical data. Then, the forest fire-burned areas of small fires were extracted based on the difference between GFED4 and GFED5. The results show that GFED4 exhibits strong consistency at the national level and in key fire-prone regions such as Northeast, North, and Central South China, especially during high-fire years and in spring. However, systematic overestimation occurs in the Northwest, while underestimation or seasonal bias is observed in parts of East and Southwest China. The results show a clear decline in large-fire burned area, but a significant increase in small fires, particularly in Northeast, Central South, and East China. Spatial analysis indicates small fires exhibit strong clustering (Moran’s I = 0.270, p < 0.01), whereas large fires are spatially dispersed. The study concludes that GFED4 is reliable for monitoring large fires in forested zones but should be applied cautiously in non-forested and small-fire-dominated regions.
Authors
- Hao Meng (ORCID: https://orcid.org/0000-0001-6494-0825)
- Shenglei Zhang (ORCID: https://orcid.org/0000-0002-1693-4786)
- Zhenhua Di (ORCID: https://orcid.org/0000-0003-0188-0479)
- Meixia Xie (ORCID: https://orcid.org/0009-0006-9752-2033)
- Xurui Wang (ORCID: https://orcid.org/0009-0002-2620-3255)
- Xinling Tian
Institutions
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- Aerospace Information Research Institute (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3390/rs17203461
- Citations
- 1
- Primary Topic
- Fire effects on ecosystems
- Type
- article
- Field-Weighted Citation Impact
- 1.11