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land cover • forest fire • satellite • surface •
The Global Annual Burned Area dataset provides yearly maps of fire-affected land surfaces using satellite-based observations. It supports spatial analysis of fire patterns, ecosystem impacts, and carbon emissions modeling at global scale.
The Global Annual Burned Area dataset provides high-resolution, annual maps of fire-affected areas at 30-meter spatial resolution from 2014 to 2021. It is developed by researchers from the Aerospace Information Research Institute, Chinese Academy of Sciences, including Zhaoming Zhang, Baoye Qi, Tengfei Long, Guojin He, and Mingyue Wei.
The dataset is generated through an automated processing pipeline using Google Earth Engine, based on all available Landsat imagery. It is designed for large-scale fire monitoring, trend analysis, and ecological impact assessment.
Covering global land surfaces from 80°N to 60°S, and mapped at a 0.00025° resolution, the data supports fine-grained assessments of burned area dynamics across time and geography.
Spatial Resolution
30m x 30m