i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...
i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...
i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...
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6.1.4 Validation <strong>of</strong> dust monitoring with OMI UVAI<br />
The dust storm in center China was captured by Aqua MODIS on October 23, 2007<br />
at UTC time 04:55. The MODIS true color image is shown in Fig. 6.3a <strong>and</strong><br />
corresponding dust image generated with algorithm illustrated in Chapter 4 is shown in<br />
Fig. 6.3b. The UVAI values associated with dust aerosol are usually larger than 1.2<br />
according to the procedure <strong>of</strong> aerosol selection in OMAERUN README file. Therefore,<br />
only the areas with UVAI values larger than 1.2 in OMI UVAI image are shown in the<br />
Fig. 6.3c. With comparison, totally about 187,472 pixels are labeled as dust with OMI<br />
UVAI product. Among these pixels, 137,554 pixels are labeled as the dust either in<br />
MODIS dust image, but 49,918 pixels are undetected. About 3.67% (6,871 pixels) are<br />
identified as dust in MODIS dust image but labeled as non-dust pixel in OMI UVAI<br />
image. Fig. 6.3d gives the spatial distribution <strong>of</strong> all identified, unidentified, <strong>and</strong><br />
misidentified pixels. The center part <strong>of</strong> the dust storm is detected by both images. The<br />
major difference is appeared at the front <strong>of</strong> dust storm (southeast part) where many pixels<br />
are labeled as dust aerosol in OMI UVAI image. Statistically, at the margin area, more<br />
than 5% difference can be attributed to the spatial resolution differences between two<br />
<strong>sensor</strong>s. Moreover, the small clouds floated above the dust storm contribute another<br />
around 3% errors, which is too small to be detected by OMI <strong>sensor</strong>.<br />
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