Top > JDR > Monitoring of the Recovery Process of the Fukushima Daiichi Nu ...

single-dr.php

JDR Vol.11 No.2 pp. 236-245
(2016)
doi: 10.20965/jdr.2016.p0236

Paper:

Views over last 60 days: 1,147

Monitoring of the Recovery Process of the Fukushima Daiichi Nuclear Power Plant from VHR SAR Images

Wen Liu*, Fumio Yamazaki*, and Tadashi Sasagawa**

*Graduate School of Engineering, Chiba University
1-33 Yayoi-cho, Inageku, Chiba 263-8522, Japan

**PASCO Corporation
4-10-1 Nakano, Nakano-Ku, Tokyo 164-0001, Japan

Received:
October 10, 2015
Accepted:
December 10, 2015
Online released:
March 18, 2016
Published:
March 1, 2016
Creative Commons License
Keywords:
building damage, geometric features, WorldView-2, TerraSAR-X, TanDEM-X
Abstract
The Mw9.0 earthquake hitting the Tohoku area on Japan's Pacific coast on March 11, 2011, triggered huge tsunamis and a Fukushima Daiichi nuclear power plant breakdown. Due to high radiation levels, plant damage could only be assessed from satellite images. Our study involves four very-high-resolution (VHR) TerraSAR-X/TanDEX-X SAR intensity images taken under different acquisition conditions and used to try and determine reactor building damage. Layover and radar shadow areas were specified first based on building footprint and height, then backscattering patterns in these areas were modeled by introducing sectional views of the target building. Criteria for detecting damage from individual SAR scenes were used to compare simulated backscattering patterns to actual SAR intensity images. Damage to other reactor buildings was then identified based on these criteria. Results were confirmed by comparisons to two optical VHR WorldView-2 images and ground photos.
Cite this article as:
W. Liu, F. Yamazaki, and T. Sasagawa, “Monitoring of the Recovery Process of the Fukushima Daiichi Nuclear Power Plant from VHR SAR Images,” J. Disaster Res., Vol.11 No.2, pp. 236-245, 2016.
Data files:
References
  1. [1] Prime Minister of Japan and His Cabinet, “Report of Japanese Government to the IAEA Ministerial Conference on Nuclear Safety – The Accidentat TEPCO’s Fukushima Nuclear Power Stations –,” pp. IX-10, 2011, available at: http://japan.kantei.go.jp/kan/topics /201106 /iaeatextunderscore houkokushotextunderscore e.html [accessed Feb. 15, 2016]
  2. [2] K. Saito, R. J. S. Spence, C. Going, and M. Markus, “Using High-Resolution Satellite Images for Post-Earthquake Building Damage Assessment: A Study Following the 26 January 2001 Gujarat Earthquake,” Earthquake Spectra, Vol.20, No.1, pp. 145-169, 2004.
  3. [3] F. Yamazaki, Y. Yano, and M. Matsuoka, “Visual Damage Interpretation of Buildings in Bam City Using QuickBird Images Following the 2003 Bam, Iran, Earthquake,” Earthquake Spectra, Vol.21, No.S1, pp. 329-336, 2005.
  4. [4] X. Tong, Z. Hong, S. Liu, X. Zhang, H. Xie, Z. Liu, S. Yang, W. Wange, and F. Bao, “Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake,” ISPRS J. Photogramm. Remote Sens., Vol.68, pp. 13-27, 2012.
  5. [5] G. Taskin, O. K. Ersoy, and M. E.Kamasak, “Earthquake-induced damage classification from postearthquake satellite image using spectral and spatial features with support vector selection and adaptation,” J. Appl. Remote Sens., Vol.9, No.1, pp. 096017, 2015.
  6. [6] S. Plank, “Rapid damage assessment by means of multi-temporal SAR – A comprehensive review and outlook to Sentinel-1,” Int. J. Remote Sens., Vol.6, pp. 4870-4906, 2014.
  7. [7] M. Matsuoka and M. Estrada, “Development of earthquake-induced building damage estimation model based on ALOS/PALSAR observing the 2007 Peru earthquake,” Journal of Disaster Research, Vol.8, No.2, pp. 346-355, 2013.
  8. [8] W. Liu, F. Yamazaki, B. Adriao, E. Mas, and S. Koshimura, “Development of building height data in Peru from high-resolution SAR imagery,” Journal of Disaster Research, Vol.9, No.6, pp. 1042-1049, 2014.
  9. [9] W. Liu, F. Yamazaki, H. Gokon, and S. Koshimura, “Extraction of Tsunami Flooded Areas and Damaged Buildings in the 2011 Tohoku-oki, Japan Earthquake from TerraSAR-X Intensity Images,” Earthquake Spectra, Vol.29, No.S1, pp. S183-2000, 2013.
  10. [10] D. Brunner, G. Lemoine, and L. Bruzzone, “Earthquake damage assessment of buildings using VHR optical and SAR imagery,” IEEE Trans. Geosci. Remote Sens., Vol.48, No.5, pp. 2403-2420, 2010.
  11. [11] T. L. Wang and Y. Q. Jin, “Postearthquake building damage assessment using multi-mutual information from pre-event optical image and postevent SAR image,” IEEE Geosci. Remote Sens. Lett., Vol.9, No.3, pp. 452-456, 2012.
  12. [12] Tokyo Electric Power Company (TEPCO), http://www.tepco.co.jp /nu/fukushima-np/f1/genkyo/index-j.html [accessed Feb. 15, 2016]
  13. [13] R. Welch and W. Ehlers, “Merging Multiresolution SPOT HRV and Landsat TM Data,” Photogrammetric Engineering & Remote Sensing, Vol.53, No.3, pp. 301-303, 1987.
  14. [14] Deutsches Zentrum für Luft- und Raumfahrt (DLR), http://www.dlr. de/hr/en/desktopdefault.aspx/tabid-2317/3669textunderscore read-5488/ [accessed Feb. 15, 2016] A. Lopes, R. Touzi, and E. Nezry, “Adaptive Speckle Filters and Scene Heterogeneity,” IEEE Trans. Geosci. Remote Sens., Vol.28, No.6, pp. 992-1000, 1990.
  15. [15] Y. Fuji-ie, “A Message 15 Days After the 3.11 Earthquake on the Nuclear Accident at Fukushima #1 NPS,” Journal of Disaster Research, Vol.7, No.sp, pp. 426-431, 2012.
  16. [16] Geospatial Information Authority of Japan (GSI), http://saigai.gsi. go.jp /h23taiheiyo-hr/index.html [accessed Feb. 15, 2016]
  17. [17] Y. Iwasaki, F. Yamazaki, W. Liu, T. Nonaka, and T. Sasagawa, “Detection of damage to building side-walls using high resoltuion satellite SAR images,” Journal of Japan Association for Earthquake Engineering, Vol.13, No.5, pp. 18-32, 2013 (in Japanese).
  18. [18] F. Yamazaki, Y. Iwasaki, W. Liu, T. Nonaka, and T. Sasagawa, “Detection of damage to building side-walls in the 2011 Tohoku, Japan earthquake using high-resolution TerraSAR-X images,” Proc. of SPIE, Vol.8892, 889212 1-9, 2013.
  19. [19] F. Yamazaki and W. Liu, “Urban Change Monitoring: Multi-temporal SAR Images,” Encyclopedia of Earthquake Engineering, Springer, 2014.
  20. [20] B. Adriano, E. Mas, S. Koshimura, H. Gokon, W. Liu, and M. Matsuoka, “Developing a method for urban damage mapping using radar signtures of building footprint in SAR imagery: A case study after the 2013 super typhoon Haiyan,” Proc. IEEE IGARSS 2015, pp. 3579-3582, 2015.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 11, 2024