2011年東北地方太平洋沖地震（Mw9.0）の発生後，津波が繰り返し来襲したことにより多数の橋梁が甚大な被害を受けた．これによって道路網が寸断され，現地調査による早期の被害状況把握が困難となった．このような際，衛星画像は広範囲にわたる被害状況を現地に赴くことなく把握できる点から有用である．とくに合成開口レーダ（SAR）画像は雲や火煙の影響を受けず，昼夜撮影可能であるため緊急対応に適している．本研究では，津波により広範囲が被災した宮城県の沿岸部を対象地域として，発災前後の高分解能SAR画像を用いて，特定の橋梁領域に対して2時期の相関係数に閾値を設定し，被害有無の判別を試みた．その結果を被害報告書における橋梁の被災状況と比較して，本手法の精度と有用性を検討した．
","subitem_description_language":"ja","subitem_description_type":"Other"},{"subitem_description":"This study tried to detect collapsed bridges due to tsunami by analyzing changes of backscattering intensity in Synthetic Aperture Radar (SAR) images. TerraSAR-X images covering the Sendai and Ishinomaki planes acquired before and after the 2011 Tohoku-Oki earthquake were employed together with the GIS data of bridges. The bridge region was created according the GIS data with a 10-m buffer. Then the difference and correlation coefficient of the sigma naught values within the bridge region were obtained. The proper threshold value of the correlation coefficient was investigated to extract collapsed bridges. In order to verify the effectiveness of the method, the extracted results were compared with the reference data from damage investigation reports and aerial photographs. The threshold vale of the correlation coefficient, 0.47, gave the highest value for the summation of the producer accuracies for collapsed and survived bridges, with the overall accuracy 0.776 and the kappa coefficient 0.430.
","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"公益社団法人 日本地震工学会","subitem_publisher_language":"ja"},{"subitem_publisher":"JAPAN ASSOCIATION FOR EARTHQUAKE ENGINEERING","subitem_publisher_language":"en"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.5610/jaee.17.5_48"}}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井上 和樹","creatorNameLang":"ja"},{"creatorName":"INOUE Kazuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"リュウ ウェン","creatorNameLang":"ja"},{"creatorName":"LIU Wen","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"山崎 文雄","creatorNameLang":"ja"},{"creatorName":"YAMAZAKI Fumio","creatorNameLang":"en"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_title":"高分解能衛星SAR画像の変化抽出に基づく津波による橋梁被害把握","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"高分解能衛星SAR画像の変化抽出に基づく津波による橋梁被害把握","subitem_title_language":"ja"},{"subitem_title":"Detection of Bridge Damages due to Tsunami Using Multi-temporal High-resolution SAR Images","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"1","path":["1670839190650"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"5960","relation_version_is_last":true,"title":["高分解能衛星SAR画像の変化抽出に基づく津波による橋梁被害把握"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-08T09:33:28.966315+00:00"}