5:15 PM - 6:45 PM
[U15-P110] Estimation of Building Damage from 2024 Noto Peninsula Earthquake Based on Multi-Wavelength Interferometric SAR Analysis
Keywords:Building Damage, InSAR, ALOS-2, Sentinel-1, Coherence Change Detection
In Japan, a country frequently struck by earthquakes, the rapid assessment of damage to buildings following such events is critical for effective initial disaster response. The Noto Peninsula earthquake in 2024, with its seismic intensity of 7, was anticipated to cause significant damage to buildings from the outset. However, the lack of readiness and infrastructure to conduct on-site investigations made it extremely difficult to grasp the full extent of the building damage.
Satellite remote sensing, capable of wide-area measurement, is expected to play a pivotal role in damage assessment during disasters. Indeed, in the aftermath of 2024 (Reiwa 6) Noto Peninsula earthquake, a variety of optical and Synthetic Aperture Radar (SAR) satellites, including those operated by the government and private sectors, conducted observations and provided vital information on the ground situation.
This presentation introduces a case study where satellite SAR was employed to extract building damage information following the Noto Peninsula earthquake. Coherence obtained from Interferometric SAR (InSAR) analysis, a complex correlation of phase and amplitude over two time periods, serves as an indicator of interferometric properties. It is known that building damage leads to a decrease in interferometric properties.
Observations capable of interferometry by the L-band ALOS-2 and the C-band Sentinel-1 satellites were conducted within a week of the disaster. This research utilized three SAR images: two before and one after the disaster, combining the decline interferometric properties by InSAR analysis with the sensitivity differences of the two wavelength SAR satellites to extract building damage.
The analysis revealed a significant decrease in interferometric properties and an increase in building damage closer to the epicenter at the tip of the Noto Peninsula. Notably, the area of fire-damaged buildings in Wajima City, Ishikawa Prefecture, showed a substantial decrease in interferometric properties compared to other regions, indicating a correlation between the decrease in interferometric properties and the extent of building damage.
Furthermore, clear areas of decreased interferometric properties were observed along the edges of sand dunes and old river courses in areas affected by liquefaction in Noto Town, Ishikawa Prefecture, and Nishiku, Niigata City, Niigata Prefecture. The distribution of posts on social networking services (SNS) and on-site verification results indicated that the affected areas and the scale of damage were well captured. The analysis also included an examination of the sensitivity difference to building damage due to wavelength differences.
Satellite remote sensing for damage assessment proves useful, as demonstrated during the Noto Peninsula earthquake. In addition, the rapid capture and provision of satellite data analysis results offer a viable option for initial disaster information gathering.
. Furthermore, estimating the extent of building damage areas, challenging with optical photographs, highlights the significance of using SAR interferometric properties for this purpose.
Lastly, our deepest sympathies are extended to those affected by this disaster.
Satellite remote sensing, capable of wide-area measurement, is expected to play a pivotal role in damage assessment during disasters. Indeed, in the aftermath of 2024 (Reiwa 6) Noto Peninsula earthquake, a variety of optical and Synthetic Aperture Radar (SAR) satellites, including those operated by the government and private sectors, conducted observations and provided vital information on the ground situation.
This presentation introduces a case study where satellite SAR was employed to extract building damage information following the Noto Peninsula earthquake. Coherence obtained from Interferometric SAR (InSAR) analysis, a complex correlation of phase and amplitude over two time periods, serves as an indicator of interferometric properties. It is known that building damage leads to a decrease in interferometric properties.
Observations capable of interferometry by the L-band ALOS-2 and the C-band Sentinel-1 satellites were conducted within a week of the disaster. This research utilized three SAR images: two before and one after the disaster, combining the decline interferometric properties by InSAR analysis with the sensitivity differences of the two wavelength SAR satellites to extract building damage.
The analysis revealed a significant decrease in interferometric properties and an increase in building damage closer to the epicenter at the tip of the Noto Peninsula. Notably, the area of fire-damaged buildings in Wajima City, Ishikawa Prefecture, showed a substantial decrease in interferometric properties compared to other regions, indicating a correlation between the decrease in interferometric properties and the extent of building damage.
Furthermore, clear areas of decreased interferometric properties were observed along the edges of sand dunes and old river courses in areas affected by liquefaction in Noto Town, Ishikawa Prefecture, and Nishiku, Niigata City, Niigata Prefecture. The distribution of posts on social networking services (SNS) and on-site verification results indicated that the affected areas and the scale of damage were well captured. The analysis also included an examination of the sensitivity difference to building damage due to wavelength differences.
Satellite remote sensing for damage assessment proves useful, as demonstrated during the Noto Peninsula earthquake. In addition, the rapid capture and provision of satellite data analysis results offer a viable option for initial disaster information gathering.
. Furthermore, estimating the extent of building damage areas, challenging with optical photographs, highlights the significance of using SAR interferometric properties for this purpose.
Lastly, our deepest sympathies are extended to those affected by this disaster.