Comparative analysis for detecting areas with building damage from several destructive earthquakes using satellite synthetic aperture radar images

Masashi Matsuoka; Fumio Yamazaki

doi:10.1117/1.3525581

1 November 2010 Comparative analysis for detecting areas with building damage from several destructive earthquakes using satellite synthetic aperture radar images

Masashi Matsuoka, Fumio Yamazaki

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 4, Issue 1, 041867 (November 2010). https://doi.org/10.1117/1.3525581

Abstract

Earthquakes that have caused large-scale damage in developed areas, such as the 1994 Northridge and 1995 Kobe events, remind us of the importance of making quick damage assessments in order to facilitate the resumption of normal activities and restoration planning. Synthetic aperture radar (SAR) can be used to record physical aspects of the Earth's surface under any weather conditions, making it a powerful tool in the development of an applicable method for assessing damage following natural disasters. Detailed building damage data recorded on the ground following the 1995 Kobe earthquake may provide an invaluable opportunity to investigate the relationship between the backscattering properties and the degree of damage. This paper aims to investigate the differences between the backscattering coefficients and the correlations derived from pre- and post-earthquake SAR intensity images to smoothly detect areas with building damage. This method was then applied to SAR images recorded over the areas affected by the 1999 Kocaeli earthquake in Turkey, the 2001 Gujarat earthquake in India, and the 2003 Boumerdes earthquake in Algeria. The accuracy of the proposed method was examined and confirmed by comparing the results of the SAR analyses with the field survey data.

Citation Download Citation

Masashi Matsuoka and Fumio Yamazaki "Comparative analysis for detecting areas with building damage from several destructive earthquakes using satellite synthetic aperture radar images," Journal of Applied Remote Sensing 4(1), 041867 (1 November 2010). https://doi.org/10.1117/1.3525581

Published: 1 November 2010

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available