Nighttime Fire, Volcano, Gas Flare Detections from Ensemble Learning on NASA Black Marble

This dataset consists of ensemble machine learning detections of nighttime fires, gas flares, and volcanic erruptions from NASA Black Marble M-bands and DNB. The model is learned from unsuperivsed detections of anomalies followed by iterative training of classifiers on the detections.