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Earthquake Engineering Research - HKU Libraries - The University ...

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151<br />

Number of Pixels<br />

(Frequency)<br />

Threshold (p>99 5%)<br />

Estimated<br />

damaged areas<br />

Normal distribution<br />

based on sample<br />

ixels<br />

Difference of digital numbers (change of brightness)<br />

Figure 1:<br />

estimation<br />

Flowchart of damaged area<br />

Figure 2:<br />

estimation<br />

Criteria of damaged area<br />

3. NEW ESTIMATION METHOD BASED ON TIME-SERIES IMAGES<br />

Some problems shown in the followings remain in the estimation results based on two images before<br />

and after earthquake.<br />

a) Cloud influence remains even if Stable Light Image is applied.<br />

b) Reflection of water area leads to mis-judgment<br />

c) Small cities are neglected due to the variance of the night light<br />

<strong>The</strong>se problems would be resolved, if pixel-based average and standard deviation of digital number<br />

were analyzed for several images before an earthquake and significant test were applied to post-event<br />

image. This procedure is called "Time-Series Images Method". It takes about 10 hours to complete<br />

analysis using more than 30 images. It is important to notice that the gain of the sensor estimated<br />

originally affects the results in the period that moon light is bright. So it is better to use images in<br />

about 10 days before and after new moon. As this method is operated manually now, automated<br />

system for this method should be built.<br />

4. APPLICATION OF BASIC METHOD TO THE TURKEY MARMARA EARTHQUAKE<br />

DISASTER<br />

We estimated the possible impacted areas of the 1999 Marmara <strong>Earthquake</strong> Disaster that occurred in<br />

northwest Turkey on August 17. <strong>The</strong> DMSP/OLS images in this region were provided from National<br />

Oceanic and Atmospheric Administration's National Geophysical Data Center (NOAA/NGDC). <strong>The</strong><br />

nighttime images before and after the earthquake are shown in Figures 3 and 4 respectively.<br />

Fortunately, the two images have little cloud influence considering the TIR images (Figures 5 and 6).<br />

<strong>The</strong> histogram of digital number differences between two VNIR images is shown in Figure 7.<br />

<strong>The</strong> estimated impacted areas spread widely in Yalova, Kocaeli and other provinces (Figure 8). <strong>The</strong>se<br />

estimation results showed with a high degree of correspondence with the real damages.

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