Comparison of SAR‐Based Building Damage Estimation Results With Measured Seismic Intensity and Building Damage in the 2024 Noto Peninsula Earthquake

ABSTRACT On January 1, 2024, at 16:10 JST, a magnitude (Mj) 7.6 earthquake struck the Noto Peninsula in Ishikawa Prefecture. The earthquake caused extensive damage in Ishikawa Prefecture, with more than 300 people killed and over 6000 buildings damaged (as of September 2024). In the Noto Peninsula earthquake, several organizations are attempting to use satellites and other means to obtain an overview of the earthquake damage from the sky in order to quickly assess the extent of the damage after the earthquake. Here, we examine the “building damage potential” data from this study, which was conducted using satellite‐based SAR imagery. The study organized the relationship between “building damage potential” based on SAR images and measured seismic intensity, a typical seismic intensity index. Comparisons with actual building damage were made to confirm the validity of the estimation results using Multi‐wavelength SAR.

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Publication Details

Journal
Electronics and Communications in Japan
Published
2025-12-14
DOI
https://doi.org/10.1002/ecj.70010
Primary Topic
Remote-Sensing Image Classification
Type
article
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article

Comparison of SAR‐Based Building Damage Estimation Results With Measured Seismic Intensity and Building Damage in the 2024 Noto Peninsula Earthquake

Electronics and Communications in Japan
Remote-Sensing Image Classification
article

Comparison of SAR‐Based Building Damage Estimation Results With Measured Seismic Intensity and Building Damage in the 2024 Noto Peninsula Earthquake

article en

Abstract

ABSTRACT On January 1, 2024, at 16:10 JST, a magnitude (Mj) 7.6 earthquake struck the Noto Peninsula in Ishikawa Prefecture. The earthquake caused extensive damage in Ishikawa Prefecture, with more than 300 people killed and over 6000 buildings damaged (as of September 2024). In the Noto Peninsula earthquake, several organizations are attempting to use satellites and other means to obtain an overview of the earthquake damage from the sky in order to quickly assess the extent of the damage after the earthquake. Here, we examine the “building damage potential” data from this study, which was conducted using satellite‐based SAR imagery. The study organized the relationship between “building damage potential” based on SAR images and measured seismic intensity, a typical seismic intensity index. Comparisons with actual building damage were made to confirm the validity of the estimation results using Multi‐wavelength SAR.

Electronics and Communications in JapanVol. 109(1)
Kokusai Junior College (JP), Kanagawa University (JP)
Sustainable cities and communities
Openalex Percentile: Top 34%
Remote-Sensing Image Classification
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