Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran

Karimzadeh, Sadra; Matsuoka, Masashi; Miyajima, Masakatsu; Adriano, Bruno; Fallahi, Abdolhossein; Karashi, Jafar

doi:10.3390/rs10081255

Submit to this Journal Review for this Journal Edit a Special Issue

Article Menu

...

Open AccessArticle

Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran

^1,2,*

³,

⁴

⁵ and

⁵

Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8502, Japan

Department of GIS and Remote Sensing, University of Tabriz, Tabriz 5166616471, Iran

School of Geosciences and Civil Engineering, Kanazawa University, Kanazawa 920-1192, Japan

⁴

Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan

⁵

Department of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz 5375171379, Iran

Author to whom correspondence should be addressed.

Remote Sens. 2018, 10(8), 1255; https://doi.org/10.3390/rs10081255

Received: 26 June 2018 / Revised: 30 July 2018 / Accepted: 9 August 2018 / Published: 10 August 2018

View Full-Text Download PDF

Browse Figures

Citation Export

Abstract

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. View Full-Text

Keywords: synthetic aperture radar (SAR); sequential SAR coherence; earthquake damage; discriminant analysis

▼ Show Figures

Graphical abstract

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

Share and Cite

MDPI and ACS Style

Karimzadeh, S.; Matsuoka, M.; Miyajima, M.; Adriano, B.; Fallahi, A.; Karashi, J. Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran. Remote Sens. 2018, 10, 1255. https://doi.org/10.3390/rs10081255

AMA Style

Karimzadeh S, Matsuoka M, Miyajima M, Adriano B, Fallahi A, Karashi J. Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran. Remote Sensing. 2018; 10(8):1255. https://doi.org/10.3390/rs10081255

Chicago/Turabian Style

Karimzadeh, Sadra, Masashi Matsuoka, Masakatsu Miyajima, Bruno Adriano, Abdolhossein Fallahi, and Jafar Karashi. 2018. "Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran" Remote Sensing 10, no. 8: 1255. https://doi.org/10.3390/rs10081255

Find Other Styles

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Abstract views Pdf views Html views

Article Menu

Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Article Access Map by Country/Region

Further Information

Guidelines

MDPI Initiatives

Follow MDPI