Building Damage Assessment with VHR Images and Comparative Analysis for Yushu Earthquake, China

被引:0
作者
Lu, L. [1 ]
Guo, H. [1 ]
Corbane, C. [2 ]
机构
[1] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing, Peoples R China
[2] Joint Res Ctr, Inst Protect & Secur Citizen, I-21027 Ispra, Italy
来源
DISASTER ADVANCES | 2013年 / 6卷 / 06期
基金
中国国家自然科学基金;
关键词
Building damage assessment; very high resolution (VHR) image; earthquake; comparative analysis; HIGH-RESOLUTION SATELLITE; COLLAPSED BUILDINGS; HAITI EARTHQUAKE;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In the aftermath of a disaster, one urgent need is to estimate the degree of structural damage to physical infrastructure with adequate reliability and rapidity. The new generation of very high-resolution imagery (VHR, with a spatial resolution of 1 m or less), if acquired after an earthquake, can be used to assess structural damage at the building level. This paper presents the experience of post-earthquake building damage assessment for the Yushu earthquake using VHR imagery by three organizations: the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences (CEODE), the German Aerospace Center (DLR) and the Joint Research Center, European Commission (JRC). The data sources and methodologies employed for building damage evaluation are presented. To assess the reliability of these sources and methodologies, damage assessment maps produced are compared. The intercomparision results indicate that damage assessment maps based on satellite VHR data are capable of capturing the damage distribution. However, these maps are not suitable for providing accurate information on the damage intensity as the results tend to be underestimated in areas where the damage is moderate and overestimated in areas with
引用
收藏
页码:37 / 44
页数:8
相关论文
共 22 条
  • [1] [Anonymous], 2010, SAFERD207003PREPJRC, P54
  • [2] Chen Y.T., 2010, EPICENTER MECH BREAK
  • [3] Chini Marco, 2009, Advances in Geoscience and Remote Sensing, P269
  • [4] Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake
    Chini, Marco
    Pierdicca, Nazzareno
    Emery, William J.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (01): : 145 - 152
  • [5] A REVIEW OF ASSESSING THE ACCURACY OF CLASSIFICATIONS OF REMOTELY SENSED DATA
    CONGALTON, RG
    [J]. REMOTE SENSING OF ENVIRONMENT, 1991, 37 (01) : 35 - 46
  • [6] A Comprehensive Analysis of Building Damage in the 12 January 2010 MW7 Haiti Earthquake Using High-Resolution Satellite- and Aerial Imagery
    Corbane, Christina
    Saito, Keiko
    Dell'Oro, Luca
    Bjorgo, Einar
    Gill, Stuart P. D.
    Piard, Boby Emmanuel
    Huyck, Charles K.
    Kemper, Thomas
    Lemoine, Guido
    Spence, Robin J. S.
    Shankar, Ravi
    Senegas, Olivier
    Ghesquiere, Francis
    Lallemant, David
    Evans, Galen B.
    Gartley, Ross A.
    Toro, Joaquin
    Ghosh, Shubharoop
    Svekla, Walter D.
    Adams, Beverley J.
    Eguchi, Ronald T.
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2011, 77 (10) : 997 - 1009
  • [7] Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data
    Ehrlich, D.
    Guo, H. D.
    Molch, K.
    Ma, J. W.
    Pesaresi, M.
    [J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2009, 2 (04) : 309 - 326
  • [8] Understanding global natural disasters and the role of earth observation
    Guo, Huadong
    [J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2010, 3 (03) : 221 - 230
  • [9] Spatial distribution and inducement of collapsed buildings in Yushu earthquake based on remote sensing analysis
    Guo HuaDong
    Zhang Bing
    Lei LiPing
    Zhang Li
    Chen Yu
    [J]. SCIENCE CHINA-EARTH SCIENCES, 2010, 53 (06) : 794 - 796
  • [10] Guo HD, 2009, CHINESE SCI BULL, V54, P3303, DOI [10.1007/s11434-009-0461-3, 10.1007/S11434-009-0461-3]