Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States

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چکیده

Fire location and burning area are essential parameters for estimating fire emissions. However, ground-based data (such as perimeters from incident reports) often not available with the timeliness required real-time forecasting. detection products derived satellite instruments such GOES-16 Advanced Baseline Imager or MODIS, on other hand, in near real-time. Using a ground dataset of 2699 fires during 2017–2019, we fit series linear models that use multiple (HMS aggregate product, GOES-16, VIIRS) to assess ability detect estimate total burned area. It was found average detections performed better than those developed satellites study (modelled R2 = 0.84 predictive 0.88). no single product best area, highlighting need an ensemble approach. With our proposed modelling ensemble, demonstrate its suggest further daily tracking emissions-modeling frameworks.

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ژورنال

عنوان ژورنال: Fire

سال: 2022

ISSN: ['2571-6255']

DOI: https://doi.org/10.3390/fire5050147