17 de enero de 2025
Explore the Long-term Small Fire Dataset (SFDL) from the ESA FireCCI
Precise Data for More Accurate Climate Models and Fire Management
Wildfires have a significant impact on the global climate, releasing greenhouse gases and aerosols while altering land cover. Understanding these effects is crucial for climate science and policy. The ESA Fire Climate Change Initiative (FireCCI) has developed a Long-term Small Fire Dataset (SFDL) that provides valuable insights for scientists, climate modellers, and researchers. This dataset is a powerful tool for analysing the spatial and temporal patterns of wildfires.
Focus of Product: High Resolution Surface Reflectance Information for Detailed Analysis
Covering large study areas of Amazonia, the eastern Sahel, and western Siberia, the SFDL dataset is based on extensive Landsat data archives. The dataset uses surface reflectance information from the Landsat-4 and Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI sensors, covering the period from 1990 to 2019 with a spatial resolution of approximately 30 metres at the Equator. This high resolution allows for detailed analysis of burned areas, which is crucial for evaluating climate models and studying the environmental impact of fires.
Notably, the SFDL product excels in detecting small burned areas often missed by other datasets. These precise data are essential for improving the accuracy of climate models and developing more effective fire management strategies.
Accessing the Dataset
Interested researchers and modellers can access the dataset for free via CEDA Archive Project page. For more information visit: ESA Fire Climate Change Initiative (Fire_cci): Long-term Small Fire Dataset (SFDL) Burned Area pixel product for Test Sites: Amazonia, Africa and Siberia, version 1.0