Earthquake damage assessment based on remote sensing data. The Haiti case study

被引:12
|
作者
Ajmar, Andrea [1 ]
Boccardo, Piero [2 ]
Tonolo, Fabio Giulio [1 ]
机构
[1] ITHACA, I-10138 Turin, Italy
[2] Politecn Torino DITAG, I-10129 Turin, Italy
关键词
earthquake; remote sensing; damage assessment; Haiti; rapid mapping;
D O I
10.5721/ItJRS20114329
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Haiti was hit by a devastating earthquake on 12 January 2010. Timely triggering of the Earth Observation satellites, and absence of cloud cover, allowed to acquire very high-resolution satellite imagery over the main affected areas within a few hours of the disaster. ITHACA performed a first damage assessment based on remotely sensed data, to support the emergency response activities carried out by the humanitarian agencies. This paper aims to highlight not only the adopted methodology and the main cartographic outputs, but also the operational procedures required to make well known analysis techniques effective in an application context.
引用
收藏
页码:123 / 128
页数:6
相关论文
共 50 条
  • [41] Assessment of damage to buildings and farms during the 2011 M 9.0 earthquake and tsunami in Japan from remote sensing data
    Guo HuaDong
    Chen Yu
    Feng Qiang
    Lin QiZhong
    Wang Fei
    CHINESE SCIENCE BULLETIN, 2011, 56 (20): : 2138 - 2144
  • [42] Monitoring and assessment of barrier lakes formed after the Wenchuan earthquake based on multitemporal remote sensing data
    Liu, Liangyun
    Wu, Yanhong
    Zuo, Zhengli
    Chen, Zhengchao
    Wang, Xingxing
    Zhang, Wenjuan
    JOURNAL OF APPLIED REMOTE SENSING, 2009, 3
  • [43] GIS modelling of earthquake damage zones using satellite remote sensing and DEM data
    Liu, Jian Guo
    Mason, Philippa J.
    Yu, Eric
    Wu, Meng-Che
    Tang, Chuan
    Huang, Runqiu
    Liu, Hanhu
    GEOMORPHOLOGY, 2012, 139 : 518 - 535
  • [44] 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.
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2009, 2 (04) : 309 - 326
  • [45] AUTOMATED BUILDING DAMAGE CLASSIFICATION FOR THE CASE OF THE 2010 HAITI EARTHQUAKE
    Dubois, David
    Lepage, Richard
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 695 - 698
  • [46] The earthquake damage remote sensing automatic recgnition based on texture of roof tiles
    Li, Dongping
    Gong, Jun
    Li, Jingyi
    Guo, Shanshan
    MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II, 2014, 651-653 : 1315 - 1319
  • [47] THE DEVELOPMENT OF RAPID EXTRACTION AND PUBLISHING SYSTEM OF EARTHQUAKE DAMAGE BASED ON REMOTE SENSING
    Wang, Xiaoqing
    Dou, Aixia
    Ding, Xiang
    Yuan, Xiaoxiang
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2921 - 2924
  • [48] Quantifying Disaster Physical Damage Using Remote Sensing Data-A Technical Work Flow and Case Study of the 2014 Ludian Earthquake in China
    Fan, Yida
    Wen, Qi
    Wang, Wei
    Wang, Ping
    Li, Lingling
    Zhang, Peng
    INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2017, 8 (04) : 471 - 488
  • [50] The study on disaster assessment of snow in pastoral areas based on remote sensing data
    Nie, Juan
    Cheng, Yaoying
    Li, Wenbo
    Tang, Tong
    Fan, Yida
    MIPPR 2011: MULTISPECTRAL IMAGE ACQUISITION, PROCESSING, AND ANALYSIS, 2011, 8002