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[MIS10-P01] A Study on the Detection of Volcanic Activity of Mt. Shinmoedake in 2018 Using MODIS Data
A Study on the Detection of Volcanic Activity of Mt. Shinmoedake in 2018 Using MODIS Data
There are many active volcanoes in the world, and lava activity and pyroclastic flow caused by volcanic eruptions have had a great impact on our lives by causing tremendous damage to human lives. However, it is geomorphologically and economically difficult to continuously monitor all active volcanoes from the ground. However, it is geomorphologically and economically difficult to monitor all active volcanoes continuously from the ground. It is also difficult to monitor all active volcanoes continuously by empirical prediction because empirical prediction based on experience and observation data requires physical observation of earthquakes and crustal movement as well as analysis of eruption patterns and intervals based on past eruptions.
Many volcanic disasters are accompanied by fluctuations in heat near the ground surface, such as lava eruptions and pyroclastic flows. Satellite remote sensing using artificial satellites can observe ground surface temperature over a wide area with high frequency. Therefore, it enables efficient monitoring of volcanic activities of active volcanoes, which are located in areas where ground-based observation is not easily possible in the past and is expected to be applied in terms of disaster prevention and mitigation. Therefore, this study aims to detect strong heat sources such as lava domes and lava flows associated with volcanic activity by observing the surface temperature near the crater using the infrared sensor (MODIS) onboard the Aqua and Terra satellites.
In this study, we focused on Mt. Shinmoe, which is located at the border of Miyazaki and Kagoshima prefectures. We analyzed the MODIS data from January 1, 2003, to December 31, 2011, and found the eruptive activity of Mt. In this study, we investigate the eruption mode of the eruption and its impact on the surface temperature of the lava dome. In this study, we analyzed the MODIS data from January 1, 2012, to December 31, 2020, for the 2018 eruption activity, which is considered to have almost the same eruption style and formed a lava dome, to verify the effectiveness of MODIS in predicting the monitoring of lava activity.
As a result of the analysis, surface temperature anomalies were recorded corresponding to the days of lava dome emergence, growth, and Vulcanian eruption as in the previous study. However, there were many days when the surface temperature could not be observed due to cloud cover during the analysis period. Therefore, it is necessary to use satellite data from Himawari 8 and 9, which are geostationary satellites with the higher temporal resolution, for future analysis.
There are many active volcanoes in the world, and lava activity and pyroclastic flow caused by volcanic eruptions have had a great impact on our lives by causing tremendous damage to human lives. However, it is geomorphologically and economically difficult to continuously monitor all active volcanoes from the ground. However, it is geomorphologically and economically difficult to monitor all active volcanoes continuously from the ground. It is also difficult to monitor all active volcanoes continuously by empirical prediction because empirical prediction based on experience and observation data requires physical observation of earthquakes and crustal movement as well as analysis of eruption patterns and intervals based on past eruptions.
Many volcanic disasters are accompanied by fluctuations in heat near the ground surface, such as lava eruptions and pyroclastic flows. Satellite remote sensing using artificial satellites can observe ground surface temperature over a wide area with high frequency. Therefore, it enables efficient monitoring of volcanic activities of active volcanoes, which are located in areas where ground-based observation is not easily possible in the past and is expected to be applied in terms of disaster prevention and mitigation. Therefore, this study aims to detect strong heat sources such as lava domes and lava flows associated with volcanic activity by observing the surface temperature near the crater using the infrared sensor (MODIS) onboard the Aqua and Terra satellites.
In this study, we focused on Mt. Shinmoe, which is located at the border of Miyazaki and Kagoshima prefectures. We analyzed the MODIS data from January 1, 2003, to December 31, 2011, and found the eruptive activity of Mt. In this study, we investigate the eruption mode of the eruption and its impact on the surface temperature of the lava dome. In this study, we analyzed the MODIS data from January 1, 2012, to December 31, 2020, for the 2018 eruption activity, which is considered to have almost the same eruption style and formed a lava dome, to verify the effectiveness of MODIS in predicting the monitoring of lava activity.
As a result of the analysis, surface temperature anomalies were recorded corresponding to the days of lava dome emergence, growth, and Vulcanian eruption as in the previous study. However, there were many days when the surface temperature could not be observed due to cloud cover during the analysis period. Therefore, it is necessary to use satellite data from Himawari 8 and 9, which are geostationary satellites with the higher temporal resolution, for future analysis.