Estimating the Numbers and the Areas of Collapsed Buildings by Combining VHR Images, Statistics and Survey Data: a Case Study of the Lushan Earthquake in China

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• 作者：Juan Nie ; Shihong Du ; Yida Fan ; Siquan Yang…
• 关键词：Earthquake ; Remote sensing ; Damaged buildings ; VHR images ; Estimation model
• 刊名：Journal of the Indian Society of Remote Sensing
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：44
• 期：1
• 页码：101-110
• 全文大小：542 KB
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• 作者单位：Juan Nie (1)
  Shihong Du (2)
  Yida Fan (1)
  Siquan Yang (1)
  Haixia He (1)
  Yan Cui (1)
  Wei Zhang (1)
  
  1. National Disaster Reduction Center of China, Beijing, 100124, China
  2. Institute of Remote Sensing and GIS, Peking University, Beijing, 100871, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geosciences
  Remote Sensing and Photogrammetry
  
• 出版者：Springer India
• ISSN：0974-3006

文摘

Accurately obtaining the structures and damage types of buildings in earthquake stricken areas is fundamental to supporting rescue forces and estimating economic losses and casualties. As the stricken areas are often much larger than the areas covered by very high resolution (VHR) images, the information obtained from VHR images cannot satisfy practical needs. This study developed a method for estimating the structures and types of damaged buildings by combining VHR images, statistics and ground survey data. First, the rates of damaged buildings with different structures and damage types were manually interpreted from VHR images covering a small part of the stricken area, and further corrected by ground survey data. Second, the corrected rates were reallocated to the seismic intensity zones. Third, the rates in the seismic intensity zones and the statistical data were combined to estimate the numbers and areas of damaged buildings in villages, towns and counties. The presented method was applied to estimate the damages caused by the Lushan earthquake in China. The results indicated that our method can efficiently estimate the amount of the damages and complement existing work on only automatic extracting damaged buildings from VHR images.