Updating GIS building inventory data using high-resolution satellite images for earthquake damage assessment: Application to Metro Manila, Philippines

被引:25
|
作者
Miura, H [1 ]
Midorikawa, S [1 ]
机构
[1] Tokyo Inst Technol, Ctr Urban Earthquake Engn, Midori Ku, Yokohama, Kanagawa 2268502, Japan
关键词
D O I
10.1193/1.2162940
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In order to conduct earthquake damage assessment, a methodology for updating GIS building inventory data in Metro Manila, Philippines, using remote sensing data is proposed. The locations of newly constructed mid- and high-rise buildings are detected from high-resolution satellite images using the image analysis technique, while the number of low-rise buildings is estimated from the built-up areas on a land cover classification map. The building inventory data is updated by incorporating the data on the newly constructed buildings into the existing data. The number of buildings in the updated inventory data shows good agreement with the results of the manual interpretation and a recent survey. A building damage assessment for a scenario earthquake is conducted using the updated inventory data.
引用
收藏
页码:151 / 168
页数:18
相关论文
共 50 条
  • [31] A Deep Learning Application for Building Damage Assessment Using Ultra-High-Resolution Remote Sensing Imagery in Turkey Earthquake
    Haobin Xia
    Jianjun Wu
    Jiaqi Yao
    Hong Zhu
    Adu Gong
    Jianhua Yang
    Liuru Hu
    Fan Mo
    [J]. International Journal of Disaster Risk Science, 2023, 14 (06) : 947 - 962
  • [32] An adaptive fuzzy-genetic algorithm approach for building detection using high-resolution satellite images
    Sumer, Emre
    Turker, Mustafa
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2013, 39 : 48 - 62
  • [33] Variability of Change Detection Results for 2011 Tohoku, Japan Earthquake Using Very High-Resolution Satellite Images
    Poursaber, Mohammad Reza
    Ariki, Yasuo
    Hassani, Nemat
    Safi, Mohammad
    [J]. LAND SURFACE REMOTE SENSING II, 2014, 9260
  • [34] Improving high-resolution satellite images retrieval using Linear SVM classifier and data augmentation
    Sebai, Houria
    Kourgli, Assia
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON PATTERN ANALYSIS AND INTELLIGENT SYSTEMS (PAIS), 2018, : 200 - 206
  • [35] Determination of building age for Istanbul buildings to be used for the earthquake damage analysis according to structural codes by using aerial and satellite images in GIS
    Betul Ergun Konukcu
    Himmet Karaman
    Muhammed Şahin
    [J]. Natural Hazards, 2017, 85 : 1811 - 1834
  • [36] Determination of building age for Istanbul buildings to be used for the earthquake damage analysis according to structural codes by using aerial and satellite images in GIS
    Konukcu, Betul Ergun
    Karaman, Himmet
    Sahin, Muhammed
    [J]. NATURAL HAZARDS, 2017, 85 (03) : 1811 - 1834
  • [37] Damage and geological assessment of the 18 September 2011 Mw 6.9 earthquake in Sikkim, India using very high resolution satellite data
    Martha, Tapas R.
    Govindharaj, K. Babu
    Kumar, K. Vinod
    [J]. GEOSCIENCE FRONTIERS, 2015, 6 (06) : 793 - 805
  • [38] Damage and geological assessment of the 18 September 2011 Mw 6.9 earthquake in Sikkim,India using very high resolution satellite data
    Tapas R.Martha
    K.Babu Govindharaj
    K.Vinod Kumar
    [J]. Geoscience Frontiers, 2015, (06) : 793 - 805
  • [39] Understanding rat occurrences in oil palm plantation using high-resolution satellite image and GIS data
    Phua, M. -H.
    Chong, C. W.
    Ahmad, A. H.
    Hafidzi, M. N.
    [J]. PRECISION AGRICULTURE, 2018, 19 (01) : 42 - 54
  • [40] Understanding rat occurrences in oil palm plantation using high-resolution satellite image and GIS data
    M.-H. Phua
    C. W. Chong
    A. H. Ahmad
    M. N. Hafidzi
    [J]. Precision Agriculture, 2018, 19 : 42 - 54