人工衛星SAR画像による被害地域検出手法の2004年新潟県中越地震への適用と高度化

• 松岡 昌志

  防災科学技術研究所地震防災フロンティア研究センター:(現)産業技術総合研究所グリッド研究センター

• 堀江 啓

  防災科学技術研究所地震防災フロンティア研究センター:(現)阪神・淡路大震災記念人と防災未来センター

• 大倉 博

  防災科学技術研究所

書誌事項

タイトル別名

• APPLICATION OF SATELLITE SAR BASED DAMAGE DETECTION TECHNIQUE TO THE 2004 NIGATA-KEN CHUETSU EARTHQUAKE AND ITS UPGRADE
• ジンコウ エイセイ SAR ガゾウ ニ ヨル ヒガイ チイキ ケンシュツ シュホウ ノ 2004ネン ニイガタケン チュウエツ ジシン エノ テキヨウ ト コウドカ

抄録

Building damage detection technique which we had developed, has been successfully applied to past earthquakes such as the 1995 Kobe, the 2001 India, and the 2003 Bam, by using the compound index, z-value, which is the value derived from the correlation and difference in intensities between pre- and post-event SAR images. This technique was applied to the affected areas due to the 2004 Niigata-ken Chuetsu earthquake on October 23, 2004, by using one pair of Radarsat images taken before and after the earthquake. However, it was not possible to identify any significant distribution of damaged buildings. In this study, we examined the reason and proposed a new technique by using two pairs (pre-seismic and co-seismic) of SAR images, to identify smaller building damage ratios in less densely built-up areas compared to previous techniques. The main idea is to minimize the effect of signal noise and tempral changes of the earth's surface, on building damage estimation, by calculating the difference values from the two pre-event images and one post-event image. In a macroscopic point of view, the distributions of the both deference values of z-value and correlation coefficient in built-up areas were in good agreement with damage by survey reports. In Yamakoshi village, located in highland, we also could identify large-scale landslides with accuracy as good as interpretation from aerial photos.

収録刊行物

• 日本建築学会構造系論文集

  日本建築学会構造系論文集 72 (617), 193-200, 2007

  日本建築学会

キーワード

• 合成開口レーダ(SAR)画像
• 被害検出
• 建物被害
• 小千谷市
• 2004年新潟県中越地震
• 相関関係

詳細情報

• CRID: 1390001205671154688
• NII論文ID: 110006317811
• NII書誌ID: AN10438559
• DOI: 10.3130/aijs.72.193_2
• ISSN: 18818153
• ISSN: 13404202
• ISSN: http://id.crossref.org/issn/13404202
• NDL書誌ID: 8883674
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8883674
• Web Site: https://www.jstage.jst.go.jp/article/aijs/72/617/72_KJ00004621801/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可