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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accuracy could be increased further if the uncertainties caused by the spatial resolution<br />
difference are subtracted.<br />
Currently, the identification <strong>and</strong> validation <strong>of</strong> aerosols over bright surface is still a<br />
challenge issue. However, CALIPSO is a good <strong>sensor</strong> for detecting aerosols over bright<br />
surface, even for separating airborne dust from ground dust, with its vertical measuring<br />
capability. By comparing with the CALIPSO VFM data product, the dust aerosol<br />
detection works well over bright surface. More than 90% dust aerosol pixels are<br />
identified correctly in the select case. Although there are some pixels misclassified, most<br />
<strong>of</strong> them concentrate at the edge <strong>of</strong> dust storm with light dust aerosol loading. Those<br />
pixels with heavy dust aerosol loading are generally well detected.<br />
Furthermore, the MODIS <strong>sensor</strong> is not very suitable for detecting small scale smoke<br />
according to the comparison with ASTER <strong>and</strong> Hyperion observations.<br />
CHAPTER 7<br />
IMPACT ASSESSMENT OF MODIS SPATIAL<br />
CHARACTERIZATION ON DETECTION RESULTS<br />
The mis-registration, or the B<strong>and</strong>-to-B<strong>and</strong> Registration (BBR) shift, has been<br />
observed between the MODIS b<strong>and</strong>s <strong>and</strong> FPAs by the Spectro-Radiometric Calibration<br />
Assembly (SRCA) <strong>and</strong> by the ground target approach. On-orbit results show that the<br />
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