Top > JDR > Extraction of Urban Information for Seismic Hazard and Risk As ...

single-dr.php

JDR Vol.8 No.2 pp. 328-345
(2013)
doi: 10.20965/jdr.2013.p0328

Paper:

Views over last 60 days: 563

Extraction of Urban Information for Seismic Hazard and Risk Assessment in Lima, Peru Using Satellite Imagery

Masashi Matsuoka*, Hiroyuki Miura**, Saburoh Midorikawa*,
and Miguel Estrada***

*Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Nagatsuta 4259-G3, Midori-ku, Yokohama 226-8502, Japan

**Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima 739-8527, Japan

***Japan-Peru Center for Earthquake Engineering and Disaster Mitigation (CISMID), National University of Engineering, Av. Túpac Amaru 1150, Lima 25, Peru

Received:
November 26, 2012
Accepted:
December 14, 2012
Published:
March 1, 2013
Creative Commons License
Keywords:
building inventory data, earthquake damage estimation, urban sprawl, building height, landsat image, ALOS/PRISM, Lima City
Abstract
Lima City, Peru, is, like Japan, on the verge of a strike by a massive earthquake. Building inventory data for the city need to be created for earthquake damage estimation, so the city was subjected to the extraction of spatial distribution of building age from Landsat satellite time-series images and an assessing building height from ALOS/PRISM images. Interband calculation of Landsat time-series images gives various indices relevant to land covering. The transition of indices was evaluated to clarify urban sprawl taking place in the northern, southern, and eastern parts of Lima City. Built-up area data were created for buildings by age. The height of large-scale mid-to-highrise buildings was extracted by applying spatial filtering for a DSM (Digital Surface Model) generated from stereovision PRISM images. As a result, buildings with a small square measure, color similar to that of their surroundings, or complicated shapes turned out to be difficult to detect.
Cite this article as:
M. Matsuoka, H. Miura, S. Midorikawa, and M. Estrada, “Extraction of Urban Information for Seismic Hazard and Risk Assessment in Lima, Peru Using Satellite Imagery,” J. Disaster Res., Vol.8 No.2, pp. 328-345, 2013.
Data files:
References
  1. [1] H. Miura and S. Midorikawa, “Updating GIS Building Inventory Data Using High-resolution Satellite Images for Earthquake Damage Assessment: Application to Metro Manila, Philippines,” Earthquake Spectra, Vol.22, No.1, pp. 151-168, 2006.
  2. [2] F. Yamazaki, M. Matsuoka, H. Mitomi, and Y. Yusuf, “Macro-and Micro-scale Urban Classification of Metro Manila for Seismic Risk Assessment Using Satellite Images,” 6th Multi-Lateral Workshop on Development of Earthquake and Tsunami Disaster Mitigation Technologies and Their Integration for the Asia-Pacific Region, EDM Technical Report, No.18, CD-ROM, Earthquake Disaster Mitigation Research Center, p. 8, 2004.
  3. [3] I. F. Shaker, A. Abd-Elrahman, A. K. Abdel-Gawad, and M. A. Sherief, “Building Extraction from High Resolution Space Images in High Density Residential Areas in the Great Cairo Region,” Remote Sensing, Vol.3, No.4, pp. 781-791, 2011.
  4. [4] W. Takeuchi and Y. Yasuoka, “Development of Normalized Vegetation, Soil and Water Indices Derived from Satellite Remote Sensing Data,” Journal of the Japan Society Photogrammetry and Remote Sensing, Vol.43, No.6, pp. 7-19, 2005 (in Japanese).
  5. [5] J. Chen, L. Manchun, Y. Liu, and C. Shen, “Extract Residential Areas Automatically by New Built-Up Index,” Proceedings of 18th International Conference on Geoinformatics, pp. 1-5, 2010.
  6. [6] I. Saito, M. Piao, and O. Ishihara, “Extraction of Land Covering Changes by Landsat TM Data,” Journal of Architecture, Planning and Environmental Engineering, Vol.561, pp. 79-85, 2002 (in Japanese).
  7. [7] J. Takaku and T. Tadano, “PRISM On-Orbit Geometric Calibration and DSM Performance,” IEEE Transaction on Geoscience and Remote Sensing, Vol.47, No.12, pp. 4060-4073, 2009.
  8. [8] USGS (US Geological Survey): GTOPO30 – Global 30 Arc Second Elevation Data Set,
    http://www1.gsi.go.jp/geowww/globalmapgsi/gtopo30/gtopo30.html [access available on Nov. 1, 2012]
  9. [9] GSI (Geospatial Information Authority of Japan): Basic Geospatial Information (Digital Elevation Model 10 m and 5 m),
    http://www.gsi.go.jp/kiban/index.html (in Japanese) [access available on Nov. 1, 2012]

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024