10:00 AM - 10:15 AM
[ACG37-05] Detection of carbon dioxide and methane gas small emission sources in urban area using hyperspectral sensor HISUI
Keywords:HISUI ( Hyperspectral Imager SUIte ), hyperspectral sensor, carbon dioxide, methane, CO2 CIBR
Carbon dioxide and methane are the main greenhouse gases (GHG), and in recent years the importance of identifying and monitoring GHG emission sources has increased.
GHG observation satellites such as GOSAT-2 (Ibuki-2) can be used for global Carbon dioxide observation, however their spatial resolution is 9.7 km. Sentinel-5 Precursor (Sentinel-5P) which can detect methane has a spatial resolution of 7 km, it is difficult to identify and monitor GHG emission sources using these satellite data. Compared to these sensors, the hyperspectral sensor HISUI (Hyperspectral Imager SUIte) onboard the International Space Station (ISS) has a high spatial resolution of 20m x 31m.
In this study, we tried to detect small carbon dioxide and methane gas anomalies for facilities with low gas emissions compared to large gas emitting sources such as steel works and estimate gas concentrations. For the detection of gas emission sources, we developed a method to derive anomaly points where gas concentrations are relatively higher than the background by using multi-temporal observation HISUI data and creating an index combining multiple bands that observe absorption bands for gases. The facilities, where anomalies were detected, were compared with the gas emission data for each specific business emitter disclosed by the Ministry of the Environment under the Mandatory Greenhouse Gas Accounting and Reporting System based on Law on Global Warming Countermeasures, and their validity and the detection limits of carbon dioxide and methane gas for the HISUI sensor were discussed.
GHG observation satellites such as GOSAT-2 (Ibuki-2) can be used for global Carbon dioxide observation, however their spatial resolution is 9.7 km. Sentinel-5 Precursor (Sentinel-5P) which can detect methane has a spatial resolution of 7 km, it is difficult to identify and monitor GHG emission sources using these satellite data. Compared to these sensors, the hyperspectral sensor HISUI (Hyperspectral Imager SUIte) onboard the International Space Station (ISS) has a high spatial resolution of 20m x 31m.
In this study, we tried to detect small carbon dioxide and methane gas anomalies for facilities with low gas emissions compared to large gas emitting sources such as steel works and estimate gas concentrations. For the detection of gas emission sources, we developed a method to derive anomaly points where gas concentrations are relatively higher than the background by using multi-temporal observation HISUI data and creating an index combining multiple bands that observe absorption bands for gases. The facilities, where anomalies were detected, were compared with the gas emission data for each specific business emitter disclosed by the Ministry of the Environment under the Mandatory Greenhouse Gas Accounting and Reporting System based on Law on Global Warming Countermeasures, and their validity and the detection limits of carbon dioxide and methane gas for the HISUI sensor were discussed.