Abstract
We are developing algorithms to detect temperature anomalies associated with volcanic activity, especially related to the lava effusion or lava dome formation. This paper presents a spatio-temporal statistical analysis of surface temperatures around the crater of Mt. Shinmoedake in 2018 using infrared data from the sensor Advanced Himawari Imager (AHI) with the high temporal resolution onboard the geostationary satellite Himawari-8. The preliminary results show that high singularity anomalies could be detected several hours before the first vulcanian eruption using brightness temperature data of 10 min sampling data for not only nighttime but also daytime. This preliminary study could indicate the highly suggestive of effectiveness of Himawari-8 AHI data for monitoring volcanic lava activity and rapid detection of lava effusion.
