| 講演要旨(和文) | | これまで，戦略的イノベーション創造プログラム(SIP)において，発災前後のレーダ画像の振幅および位相変化に基づく被災域の迅速特定技術の確立を目指して開発した手法を用いて実際に浸水や土砂災害の被災地域をいくつか選定し，モデル地域として干渉SAR解析技術を用いた解析を行ってきた．SARは夜間や悪天候時にも観測が可能であり，このことは災害時の観測に非常に有効なアドバンテージである． 今回，北海道胆振東部地震の被災地をモデル地域として現地視察を行い，災害発生前後のレーダ画像に基づく振幅，コヒーレンスおよび位相変化による被災域抽出手法を用いた解析の検証を行った結果を紹介する． |
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| | 講演要旨(英文) | | The purpose of this research is to introduce the verification example of the damage situation grasp technology in the SIP project. Specifically, it is to verify the consistency between the coherency difference image and the actual disaster area. A coherency difference image is an intermediate product of InSAR analysis. The data used in this study are ALOS-2 / PALSAR-2 images, from Hiroshima to Okayama Prefecture from March 2017 to July 2018, and around Atsuma Town in Hokkaido from July to October 2018. Each was acquired before and after the disaster. As a result, the coherency analysis of these regions is effective in extracting the affected areas, suggesting the possibility as a pre-disaster information extraction technology. |
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