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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1.3 Objectives <strong>and</strong> Scopes<br />
The main objectives <strong>of</strong> this dissertation are seeking to develop an approach for<br />
detecting smoke <strong>and</strong> dust aerosols at given areas (smoke plumes in USA <strong>and</strong> dust storms<br />
in Asia) based on the spectral <strong>and</strong> statistical analyses. The specific objectives are listed as<br />
follows:<br />
1) To develop an approach based on multi-spectral technique for detecting smoke<br />
<strong>and</strong> dust aerosols combining measurements <strong>of</strong> both MODIS RSBs <strong>and</strong> TEBs.<br />
2) To detect dust storm using multi-<strong>sensor</strong> measurements.<br />
3) To assess the potential impact <strong>of</strong> MODIS spatial characterization change on the<br />
L1B measurement <strong>and</strong> smoke/dust detection results.<br />
1.4 Organization <strong>of</strong> Dissertation<br />
This dissertation consists <strong>of</strong> eight chapters. In order to better underst<strong>and</strong> the study,<br />
the background <strong>and</strong> literature review are given in the first two chapters. The next five<br />
chapters present various works related to objectives <strong>of</strong> the dissertation. The summary <strong>and</strong><br />
discussion <strong>of</strong> future directions are summarized in last chapter.<br />
Chapter 1 gives the general introduction, including the importance <strong>of</strong> detecting<br />
smoke <strong>and</strong> dust aerosols, problems <strong>of</strong> detection approaches, research objectives, major<br />
data sources <strong>and</strong> principle results <strong>of</strong> the dissertation.<br />
Chapter 2 reviews the approaches <strong>of</strong> smoke <strong>and</strong> dust detection used in past <strong>and</strong><br />
present, as well as advantages <strong>and</strong> limitations <strong>of</strong> each approach.<br />
In Chapter 3, the spectral analysis on the basis <strong>of</strong> hyper-spectral measurements <strong>and</strong><br />
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