The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile

[摘要] Achieving a local understanding of fire regimes requireshigh-resolution, systematic and dynamic databases. High-quality informationcan help to transform evidence into decision-making in the context ofrapidly changing landscapes, particularly considering that geographical andtemporal patterns of fire regimes and their trends vary locally over time.Global fire scar products at low spatial resolutions are available, buthigh-resolution wildfire data, especially for developing countries, are stilllacking. Taking advantage of the Google Earth Engine (GEE) big-data analysisplatform, we developed a flexible workflow to reconstruct individual burnedareas and derive fire severity estimates for all reported fires. We testedour approach for historical wildfires in Chile. The result is the LandscapeFire Scars Database, a detailed and dynamic database that reconstructs 8153fires scars, representing 66.6 % of the country's officially recordedfires between 1985 and 2018. For each fire event, the database contains thefollowing information: (i) the Landsat mosaic of pre- and post-fire images; (ii) the fire scar in binary format; (iii) the remotely sensed estimated fireindexes (the normalized burnedratio, NBR, and the relative delta normalized burn ratio, RdNBR); and two vector files indicating (iv) the fire scarperimeter and (v) the fire scar severity reclassification, respectively. The LandscapeFire Scars Database for Chile and GEE script (JavaScript) are publiclyavailable. The framework developed for the database can be applied anywherein the world, with the only requirement being its adaptation to local factorssuch as data availability, fire regimes, land cover or land cover dynamics,vegetation recovery, and cloud cover. The Landscape Fire Scars Database for Chile is publicly available in https://doi.org/10.1594/PANGAEA.941127 (Miranda et al., 2022).

[学科分类] 眼科学