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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4.3 Results<br />
Three dust events occurred in different locations are shown in Figs. 4.6, 4.7, <strong>and</strong> 4.8,<br />
separately. In Fig. 4.6, the dust storm is floated above the Takalimakan Desert, captured<br />
by Terra MODIS on June 25, 2005. The dust storm is blown in a long-narrow shape. The<br />
detected dust marked with black color in Fig. 4.6b has a good agreement with MODIS<br />
true color image (Fig. 4.6a). The dust in Fig. 4.7 is a large dust storm covered most part<br />
<strong>of</strong> northeastern China, captured by Terra MODIS on April 7, 2001. The dust storm mixed<br />
with cloud. With the NDDI <strong>and</strong> BTD (12, 11), the dust pixels (Fig. 4.7b) are separated<br />
obviously from cloud by comparing with MODIS true color image (Fig. 4.7a). Only<br />
small part <strong>of</strong> dust aerosol pixels over ocean (left bottom corner) is missed in that the<br />
algorithm is mainly focused on the l<strong>and</strong> area. The dust storm in Fig. 4.8 spreads cross two<br />
countries, Pakistan <strong>and</strong> Afghanistan, on August 10, 2008. Two strings <strong>of</strong> dust plumes in<br />
the middle <strong>of</strong> image are identified successfully. Another small dust storm in the right<br />
upper corner is also detected.<br />
The MODIS AOD images at the same region are displayed for the comparison,<br />
shown in Figs. 4.6c, 4.7c, <strong>and</strong> 4.8c. The spatial resolution <strong>of</strong> AOD product is 10 km. In<br />
the AOD images, the AOD is not accurately retrieved for the areas with heavy dust<br />
loading. Therefore, in this condition, the detecting results <strong>of</strong> this algorithm can provide<br />
more accurate information about the dust aerosol than the MODIS AOD product.<br />
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