Resilient disaster response

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|a FI13042533

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|a Resilient disaster response |h [electronic resource] |b using remote sensing technologies for post-earthquake damage detection |y English.

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|a [S.l.] : |b National Science Foundation ; |a [S.l.] : |b Multidisciplinary Center for Earthquake Engineering Research (MCEER), |c 2003.

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|a Refer to main document/publisher for use rights.

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|a Eguchi, R.T., Huyck, C.K., Adams, B.J., Mansouri, B., Houshmand, B., Shinozuka, M. (2003). Resilient disaster response: using remote sensing technologies for post-earthquake damage detection. National Science Foundation, Earthquake Engineering Research Centers Program.

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|a This document presents information gleaned from the use of remote sensing technologies in the assessment of damages caused by the 1999 Marmara, Turkey earthquake. The images were derived from SPOT 4 imagery and synthetic aperture radar (SAR) sensors and were subject to a variety of analytical methods. Some methods proved problematic under certain conditions, but other techniques revealed detailed observable changes. When subject to appropriate analytical methods, remote sensing analysis can not only increase the rate of emergency response, but can also enable a more effective recovery by revealing damage patterns. Emergency personnel can allocate resources more effectively, thus optimizing their response and increasing the rate of recovery. Simple intensity value differences, sliding window-based correlations, modulated block correlations and complex correlation indices were methods considered for this analysis. Damage was detected from the surface reflectance of the debris, which exceeded that of complete structures. Change detection algorithms of the SPOT and ERS images also yielded reliable results. However, this method did not produce reliable trend analyses due to scene-wide variations in posting return. Panchromatic imagery underwent simple subtraction and correlation algorithms. The SAR correlation indices revealed density patterns in structural damage, but the subtraction algorithm suffered from substantial radiometric offset. The experimental techniques yielded promising results, although limitations remain with regard to achieving more nuanced analyses. SPOT and ERS change detection algorithms successfully identified variations in building damage. The SAR sensors produced reliable damage assessments under sub-optimal weather conditions when employed in conjunction with visual analyses.

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|a Remote Sensing

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|a Disaster response and recovery.

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|a Natural hazards and disasters |x Earthquakes.

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|a Remote sensing |x Technology.

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|a Turkey. |2 tgn

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|a Eguchi, Ronald T. |g President.

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|a Huyck, Charles K. |u Vice President.

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|a Adams, Beverly J. |g Project Scientist.

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|a Mansouri, Babak |g Project Scientist |u ImageCat, Inc..

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|a Houshmand, Bijan |g Adjunct Associate Professor. Department of Electrical Engineering |u University of California, Los Angeles.

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|a Shinozuka, Masanobu |g Distinguished Professor and Chair, Department of Civil and Environmental Engineering |u University of California, Irvine.

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|a Disaster Risk Reduction Program, Florida International University (DRR/FIU), |e summary contributor.

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|u http://dpanther.fiu.edu/dpService/dpPurlService/purl/FI13042533/00001 |y Click here for full text

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|a http://dpanther.fiu.edu/sobek/content/FI/13/04/25/33/00001/FI13042533_thm.jpg