Characteristics of the texture index of damaged buildings using high-resolution satellite images due to the 2024 Noto Peninsula Earthquake

Masashi Sonobe; Hideki Hashiba

doi:10.1117/12.3042575

3 January 2025 Characteristics of the texture index of damaged buildings using high-resolution satellite images due to the 2024 Noto Peninsula Earthquake

Masashi Sonobe, Hideki Hashiba

Author Affiliations +

Proceedings Volume 13263, Land Surface and Cryosphere Remote Sensing V; 132630O (2025) https://doi.org/10.1117/12.3042575
Event: Asia-Pacific Remote Sensing, 2024, Kaohsiung, Taiwan

Conference Poster

Abstract

The 2024 Noto Peninsula earthquake occurred on January 1 with a series of Mj5.5 and Mj7.6 earthquakes. The tsunami triggered by this earthquake simultaneously caused extensive damage to the coastal areas of the Noto Peninsula. In addition, buildings collapsed over a wide area in Wajima City. Furthermore, fires caused by these earthquakes resulted in the largescale destruction of buildings. In the case of such a large-scale damage, it is necessary to grasp the damage situation as soon as possible, and it is effective to collect damage information by satellite remote sensing. Furthermore, the resolution of the satellite image has been increased, and Method of object-based and pixel-based texture for extracting detailed damage information of the building and grasping the damaged area have been studied. The damage caused by the optical and SAR images observed immediately after the damage has been investigated and the damage of the building by the field survey is being investigated. However, there are few examples of studies that have applied texture analysis of satellite imagery to include building destruction by fire and building collapse. In this study, the distribution characteristics of texture indices using high-resolution optical satellite images observed before and after the disaster in Wajima City were evaluated based on the results of the field survey. Those results show the characteristics of texture indicators for building damage, including burnout. Furthermore, the trend of change in the texture index effectively discussed the applicability of the disaster in building damage.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Masashi Sonobe and Hideki Hashiba "Characteristics of the texture index of damaged buildings using high-resolution satellite images due to the 2024 Noto Peninsula Earthquake", Proc. SPIE 13263, Land Surface and Cryosphere Remote Sensing V, 132630O (3 January 2025); https://doi.org/10.1117/12.3042575

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