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.
Morgane Barbet-Massin, Walter Jetz, Wilfried Thuiller, and Niklaus E
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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.