that figure 7 only showed the damage areas in which there were
buildings. The rectangle area was idle area and had no buildings.
Comparing figure 7 with figure 5, the derived damage mapping
is consistent with the results of the International Centre for
Geohazards.
that there are close relationships between building damage level
and the coherence change index. Thus, urban damage levels are
mapped based on the index. The map is consistent with the
results of the International Centre for Geohazards.
Future sensors or dedicated space-borne or airborne acquisition
campaigns could be used to rapidly acquire the necessary data
for such an analysis after such an earthquake and thus make this
information available for disaster response planning. The
feasibility of this approach needs to be confirmed by additional
research though and should be assessed specifically for a region
of interest. Thus, decorrelation in interferometric images, which
has typically merely been regarded as a major limitation to
interpreting interferometric phase measurements, may play an
important role in rapid damage assessment after natural
disasters.
REFERENCES
MULT]
a Chi
b College of G
KEY WORDS:
ABSTRACT
Figure 5 Damage map in the city of Bam reported by ICG
Figure 6 Coherence change index in the city of Bam
Figure 7 Derived damage mapping
[1] ICG Reconnaissance Mission, 2003. Bam Earthquake of 26
December 2003. Website:
www.geohazards.no/pdf/Bam_earthquake_report-ICG-
Revl.pdf (accessed 11 Jan. 2007)
[2] Massonnet D., Rossi M., Carmona C., et al., 1993. The
displacement field of the Landers earthquake. Nature, Vol. 364,
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[3] Jonsson S., Zebker H., Segall P., et al., 2002. Fault slip
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earthquake, estimated from satellite radar and GPS
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Vol. 92, No. 4, pp. 1377-1389.
[4] Wright T., Fielding E., and. Parsons B, 2001. Triggered slip:
observations of the 17 August 1999 Izmit (Turkey) earthquake
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28, No. 6,pp. 1079-1082.
[5] Yamazaki F., 2001. Applications of remote sensing and GIS
for damage assessment. Proceedings of the Joint Workshop on
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September 21-22.
[6] Disastercharter.org, 2004. Earthquake Iran (Bam). Website:
http://www.disasterscharter.org/disasters/iran_e.html (accessed
11 Jan. 2007)
[7] Howard A. Zebker and John Villasenor, 1992. Decorrelation
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ACKNOWLEDGEMENTS
Texture analysis
Grey-level co-occ
image texture an
probabilities, whii
introduces a geo
processing windo
Synthetic Apertui
management and
classification of
understanding an
representation of
image, is an impc
automated interpi
single band and si
Different method:
texture, which ca
and Jain, 1993):
probabilities (GL<
length), geometr
applicable to arti
random fields (M
and Clausi, 200Í
Sarkar N, 1995))
(Clausi and Jemi
1996; Pun and L<
cons, and there
analysis method,
tasks. Among the
to be the most c
most predominan
5. CONCLUSIONS
It has been demonstrated that coherence changes can be used to
assess structural damage levels after a damaging earthquake. A
coherence change index is presented based on the coherence
coefficient of the SAR interferometric analysis which is a
sensitive parameter for the detection of superficial change and
the classification of land use. And the feasibility of earthquake-
induced urban damage detection is investigated using the
coherence change index. The method proposed is tested by
SAR images of the Bam earthquake in 2003. The results show
The work in the paper was supported by Nature Science
Foundation, China (No. 50579013) and the innovation project
foundation of graduate education of Jiangsu province. The
authors wish to thank the European Space Agency for providing
Envisat-ASAR data.
The objective of
analysis method 1
for land use/land
polarization SAR
follows. Section
this research. Sec
results and their ;
4.
