A multi temporal approach to fire detection using MSG data

Abstract

The timely detection of fires is an important service that earth observation satellites can offer. Some very successful contextual fire detection algorithms have been developed for moderate to high resolution sensors. This paper presents a new algorithm that exploits the high update rate of the Meteosat Second Generation (MSG) satellite to derive a multi temporal fire detection algorithm. This is achieved by using a Kalman filter to predict the expected temperature, which can then be used to identify pixels that deviate significantly from their expected values.