Earthquake Science

, Volume 24, Issue 5, pp 463–473

Post-earthquake building damage assessment in Yushu using airborne SAR imagery

  • Dingjian Jin
  • Xiaoqing Wang
  • Aixia Dou
  • Yanfang Dong
Article

DOI: 10.1007/s11589-011-0808-0

Cite this article as:
Jin, D., Wang, X., Dou, A. et al. Earthq Sci (2011) 24: 463. doi:10.1007/s11589-011-0808-0

Abstract

The synthetic aperture radar (SAR) plays an important role in earthquake emergency response because of its all-time and all-weather imaging capabilities. On April 14, 2010, an MS7.1 earthquake occurred in Yushu county, Qinghai province of China, causing a lot of buildings collapsed. In this paper, the building damage in Yushu city due to the earthquake was assessed quantitatively using high-resolution X-band airborne SAR image. The features of the buildings with different damage levels (collapsed, partial collapsed, non-collapsed) in the SAR image were analyzed first. Based on these building features, we interpreted the individual building damage in Yushu city block by block and got the numbers of the collapsed, partial collapsed and non-collapsed buildings separately for each block, referring to pre-earthquake QuickBird image when necessary. Let the damage index of individual collapsed, partial collapsed, non-collapsed building be 1, 0.5, 0 respectively, the remote sensing damage index of each block was then calculated through remote sensing damage index equation. Finally, the preliminary quantitative relationship between the remote sensing damage index interpreted from the SAR image and that interpreted from the optical image was built up. It can be concluded that a desirable damage assessment result can be derived from high-resolution airborne SAR imagery.

Key words

SAR remote sensing Yushu earthquake damage assessment seismic damage index manual interpretation 

CLC number

P315.9 TP79 

Copyright information

© The Seismological Society of China and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dingjian Jin
    • 1
  • Xiaoqing Wang
    • 1
  • Aixia Dou
    • 1
  • Yanfang Dong
    • 1
  1. 1.Institute of Earthquake ScienceChina Earthquake AdministrationBeijingChina

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