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Sequential SAR coherence method for the monitoring of buildings in Sarpole-Zahab, Iran
https://doi.org/10.24517/00064899
https://doi.org/10.24517/00064899efa29667-d0c7-4427-9142-afe6d87fb9a1
名前 / ファイル | ライセンス | アクション |
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TE-PR-MIYAJIMA-M-10-01255-v2.pdf (8.8 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2022-01-28 | |||||
タイトル | ||||||
タイトル | Sequential SAR coherence method for the monitoring of buildings in Sarpole-Zahab, Iran | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
ID登録 | ||||||
ID登録 | 10.24517/00064899 | |||||
ID登録タイプ | JaLC | |||||
著者 |
Karimzadeh, Sadra
× Karimzadeh, Sadra× Matsuoka, Masashi× Miyajima, Masakatsu× Adriano, Bruno× Fallahi, Abdolhossein× Karashi, Jafar |
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著者別表示 |
宮島, 昌克
× 宮島, 昌克 |
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提供者所属 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 金沢大学理工研究域地球社会基盤学系 | |||||
書誌情報 |
Remote Sensing 巻 10, 号 8, p. 1255, 発行日 2018 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2072-4292 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.3390/rs10081255 | |||||
出版者 | ||||||
出版者 | MDPI AG | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In this study, we used fifty-six synthetic aperture radar (SAR) images acquired from the Sentinel-1 C-band satellite with a regular period of 12 days (except for one image) to produce sequential phase correlation (sequential coherence) maps for the town of Sarpole-Zahab in western Iran, which experienced a magnitude 7.3 earthquake on 12 November 2017. The preseismic condition of the buildings in the town was assessed based on a long sequential SAR coherence (LSSC) method, in which we considered 55 of the 56 images to produce a coherence decay model with climatic and temporal parameters. The coseismic condition of the buildings was assessed with 3 later images and normalized RGB visualization using the short sequential SAR coherence (SSSC) method. Discriminant analysis between the completely collapsed and uncollapsed buildings was also performed for approximately 700 randomly selected buildings (for each category) by considering the heights of the buildings and the SSSC results. Finally, the area and volume of debris were calculated based on a fusion of a discriminant map and a 3D vector map of the town. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | CC-BY 4.0 | |||||
権利 | ||||||
権利情報 | Copyright © Published by MDPIG, This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
関連URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.mdpi.com/journal/remotesensing | |||||
関連名称 | http://www.mdpi.com/journal/remotesensing |