Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires
نویسندگان
چکیده
After more than two decades of successful provision global burned area data the MODIS mission is near to its end. Therefore, using alternative images generate moderate resolution maps becomes critical guarantee temporal continuity these products. This paper presents development a hybrid algorithm based on Copernicus Sentinel-3 (S3) Synergy (SYN) and Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m active fires for detection areas. Using synergistic co-located measurements OLCI SLSTR instruments board S3A S3B, SYN product offers global, near-daily surface reflectance at 300 both sensors. Our relied shortwave infrared (SWIR) bands compute multi-temporal separability index that enhanced burn signal. Active from VIIRS sensor were used spatio-temporal clusters determining local thresholds. filtered those thresholds obtain seeds which contextual growing was applied extract patches. The processed globally 2019 new product, named FireCCIS310. Based stratified random sampling, error estimates showed an important reduction omission errors versus other products while keeping commission similar level (Oe = 41.2% ± 3.0%, Ce 19.2% 1.7%). FireCCIS310 dataset included 4.99 million km2 year 2019, implied around 1 precursor FireCCI51 250 values. Temporal reporting accuracy improved as well, detecting 53% pixels within 0–1 day difference. Besides, much less affected by border effects FireCCI51, result fire filtering process. accessible through CCI Open Data Portal (https://climate.esa.int/es/odp/#/dashboard, last accessed July 2022).
منابع مشابه
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Global burned area and biomass burning emissions from small fires" (2012). NASA Publications. Paper 144. [1] In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occur each year that are well below the detection limit of the current generation of global burned area products derived from moderate resolution surface reflectance imagery. Although these fi...
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2022
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2022.113298