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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It is worth mentioning that the difference (or uncertainty) varies with the coverage <strong>of</strong><br />
selected area. The differences are relative small at the homogenous or semi-homogenous<br />
area, <strong>and</strong> large at the non-homogenous areas. Based on this analysis, it is reasonable to<br />
conclude that the impacts on most <strong>of</strong> science products caused by spatial mis-registration<br />
are concentrated in the non-homogenous areas or mixed areas.<br />
Table 7.3: The difference between dust aerosol detection results with <strong>and</strong> without spatial<br />
correction<br />
No correction With correction<br />
<strong>Dust</strong> Cloud Others <strong>Dust</strong> Cloud Others<br />
Classification 15,622 10,697 3,681 15,455 10,721 3,824<br />
r 2<br />
0.9825 0.5636 0.9700 0.9831 0.5811 0.9706<br />
NO<br />
correction<br />
With correction<br />
<strong>Dust</strong> Cloud Other<br />
<strong>Dust</strong> 15,270 0 352<br />
Cloud 0 10,475 222<br />
Other 185 246 3,250<br />
Pixel number along-track<br />
50<br />
100<br />
150<br />
50 100 150 200<br />
Pixel number along-scan<br />
Figure 7.9: The MODIS true color image <strong>of</strong> selected case with dust plume.<br />
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