{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360848664445916032.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.3390/rs10081255"}},{"identifier":{"@type":"URI","@value":"https://www.mdpi.com/2072-4292/10/8/1255/pdf"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>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.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380848664445916033","@type":"Researcher","foaf:name":[{"@value":"Sadra Karimzadeh"}],"jpcoar:affiliationName":[{"@value":"Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8502, Japan"},{"@value":"Department of GIS and Remote Sensing, University of Tabriz, Tabriz 5166616471, Iran"}]},{"@id":"https://cir.nii.ac.jp/crid/1380848664445916032","@type":"Researcher","foaf:name":[{"@value":"Masashi Matsuoka"}],"jpcoar:affiliationName":[{"@value":"Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8502, Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1380848664445916035","@type":"Researcher","foaf:name":[{"@value":"Masakatsu Miyajima"}],"jpcoar:affiliationName":[{"@value":"School of Geosciences and Civil Engineering, Kanazawa University, Kanazawa 920-1192, Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1380848664445916034","@type":"Researcher","foaf:name":[{"@value":"Bruno Adriano"}],"jpcoar:affiliationName":[{"@value":"Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1380848664445915904","@type":"Researcher","foaf:name":[{"@value":"Abdolhossein Fallahi"}],"jpcoar:affiliationName":[{"@value":"Department of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz 5375171379, Iran"}]},{"@id":"https://cir.nii.ac.jp/crid/1380848664445916160","@type":"Researcher","foaf:name":[{"@value":"Jafar Karashi"}],"jpcoar:affiliationName":[{"@value":"Department of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz 5375171379, Iran"}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"20724292"}],"prism:publicationName":[{"@value":"Remote Sensing"}],"dc:publisher":[{"@value":"MDPI AG"}],"prism:publicationDate":"2018-08-10","prism:volume":"10","prism:number":"8","prism:startingPage":"1255"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","dc:rights":["https://creativecommons.org/licenses/by/4.0/"],"url":[{"@id":"https://www.mdpi.com/2072-4292/10/8/1255/pdf"}],"createdAt":"2018-08-10","modifiedAt":"2025-10-11","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=sequential%20SAR%20coherence","dc:title":"sequential SAR coherence"},{"@id":"https://cir.nii.ac.jp/all?q=Science","dc:title":"Science"},{"@id":"https://cir.nii.ac.jp/all?q=Q","dc:title":"Q"},{"@id":"https://cir.nii.ac.jp/all?q=synthetic%20aperture%20radar%20(SAR)","dc:title":"synthetic aperture radar (SAR)"},{"@id":"https://cir.nii.ac.jp/all?q=earthquake%20damage","dc:title":"earthquake damage"},{"@id":"https://cir.nii.ac.jp/all?q=discriminant%20analysis","dc:title":"discriminant analysis"}],"project":[{"@id":"https://cir.nii.ac.jp/crid/1040000781893461888","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"16F16380"},{"@type":"JGN","@value":"JP16F16380"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16F16380/"}],"notation":[{"@language":"ja","@value":"ＳＡＲリモートセンシングとＧＩＳ技術を融合した災害マネジメントシステムの構築"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360004236871177984","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Building Damage Assessment Using High‐Resolution Satellite SAR Images of the 2010 Haiti Earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1360009142758040192","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, 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