A Fire Event Tracker (FET) algorithm performs spatio-temporal clustering on MTG-FCI active fire detections to enable consistent near-real-time and retrospective fire event monitoring.
and Giglio, Louis and Paugam, Ronan and Chen, Yang and Hantson, Stijn and
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The paper establishes a reproducible retrospective benchmark for ranking daily active-fire detections in Cerrado conservation units by comparing atmospheric, surface, static spatial, and short-term memory covariates with standard ML models under time-series cross-validation and held-out AOI tests.
citing papers explorer
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Leveraging MTG-FCI fire observations for event-based fire behavior monitoring from near-real-time operation to seasonal analysis
A Fire Event Tracker (FET) algorithm performs spatio-temporal clustering on MTG-FCI active fire detections to enable consistent near-real-time and retrospective fire event monitoring.
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A Retrospective Benchmark of Spatiotemporal Covariates for Daily Active-Fire Detection in Cerrado Conservation Units
The paper establishes a reproducible retrospective benchmark for ranking daily active-fire detections in Cerrado conservation units by comparing atmospheric, surface, static spatial, and short-term memory covariates with standard ML models under time-series cross-validation and held-out AOI tests.