Urban damage detection using decorrelation of SAR interferometric data

Chinatsu Yonezawa, Nobuhiro Tomiyama, Shoji Takeuchi

Research output: Contribution to conferencePaperpeer-review

14 Citations (Scopus)

Abstract

We investigate decreasing of interferometric correlation of SAR data caused by building damages in urban area. We analyze JERS-1 SAR data pairs straddling the occurrence of the 1995 Hyogoken-nanbu earthquake. The distribution patterns of the pixels for which indicated interferometric decorrelation correspond well with the building damaged area reported by the ground survey. The degree of decorrelation shows obvious correlation with the damaged building ratio on the area in each blocks and measured seismic intensity from strong motion data. The result of this study indicates a fact that the building damage causes the interferometric decorrelation. We also try to extract the damaged urban area by the 2001 Gujrat (western India) earthquake using Radarsat data. For practical use of interferometric decorrelation to detect the urban damage, effect of building type and urban concentration should be examined. These results show the applicability for interferometric analysis of SAR data to the urban disaster management.

Original languageEnglish
Pages2051-2053
Number of pages3
Publication statusPublished - 2002 Jan 1
Externally publishedYes
Event2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada
Duration: 2002 Jun 242002 Jun 28

Other

Other2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Country/TerritoryCanada
CityToronto, Ont.
Period02/6/2402/6/28

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint

Dive into the research topics of 'Urban damage detection using decorrelation of SAR interferometric data'. Together they form a unique fingerprint.

Cite this