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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CHAPTER 6<br />
VALIDATION OF SMOKE AND DUST AEROSOLS DETECTION<br />
WITH MULTI-SENSOR<br />
In Chapters three <strong>and</strong> four, the detection <strong>of</strong> smoke <strong>and</strong> dust aerosols is performed by<br />
combining MODIS RSB <strong>and</strong> TEB measurements based on the multi-spectra technique.<br />
The detection results are validated roughly with MODIS true color images. Visual<br />
validation provides, however, only basic verification. Validating results with the same<br />
<strong>sensor</strong> <strong>of</strong>fers relatively low confidence. The further quantitative validation with other<br />
<strong>sensor</strong>s, such as OMI <strong>and</strong> CALIPSO, is executed in this chapter.<br />
6.1 Validation <strong>of</strong> Aerosol <strong>Detection</strong> with OMI<br />
OMI onboard EOS AURA is one <strong>of</strong> key instruments designed for monitoring the<br />
ozone <strong>and</strong> other atmospheric species including aerosols. It is a hyperspectral <strong>sensor</strong>,<br />
observing the solar backscatter radiation in the ultraviolet (UV) <strong>and</strong> visible spectrum<br />
(Ahmad et al., 2003; Levelt et al., 2000). The wavelengths <strong>and</strong> algorithms used for<br />
retrieving OMI aerosol parameters are significantly different from those <strong>of</strong> MODIS.<br />
These differences produce some advantages, such as the high sensitivity <strong>of</strong> the OMI UV<br />
retrieval algorithm to aerosol absorption <strong>and</strong> the ability to retrieve aerosol information<br />
over bright surfaces <strong>and</strong> clouds (Livingston et al., 2007). Moreover, both AURA <strong>and</strong><br />
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