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标题：California wildfire spread derived using VIIRS satellite observations and an object-based tracking system
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作者：Yang Chen ; Stijn Hantson ; Niels Andela 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-15
DOI：10.1038/s41597-022-01343-0
语种：English
出版社：Nature Publishing Group
摘要：Changing wildfre regimes in the western US and other fre-prone regions pose considerable risks to human health and ecosystem function . However, our understanding of wildfre behavior is still limited by a lack of data products that systematically quantify fre spread, behavior and impacts . Here we develop a novel object-based system for tracking the progression of individual fres using 375 m Visible Infrared Imaging Radiometer Suite active fre detections . At each half-daily time step, fre pixels are clustered according to their spatial proximity, and are either appended to an existing active fre object or are assigned to a new object . This automatic system allows us to update the attributes of each fre event, delineate the fre perimeter, and identify the active fre front shortly after satellite data acquisition . Using this system, we mapped the history of California fres during 2012–2020 . Our approach and data stream may be useful for calibration and evaluation of fre spread models, estimation of near-real-time wildfre emissions, and as means for prescribing initial conditions in fre forecast models .