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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Figure 3.12: <strong>Smoke</strong> images <strong>of</strong> 2007 California Fire on October 22 captured by Terra<br />
MODIS (upper row) <strong>and</strong> on October 23 captured by Aqua MODIS (bottom row). The left<br />
column is the MODIS true color images <strong>and</strong> the right column is the smoke images.<br />
3.5 Chapter Summary<br />
Large scale smoke plume from wildfires is a frequently occurred phenomenon in the<br />
nature, releasing large amount <strong>of</strong> harmful gases <strong>and</strong> matters into the air. Detecting smoke<br />
plume timely using satellite remote sensing measurements is explored. An algorithm<br />
based on multi-spectral technique is developed combining measurements <strong>of</strong> both MODIS<br />
RSBs <strong>and</strong> TEBs, aiming to detect smoke plumes over both l<strong>and</strong> <strong>and</strong> ocean.<br />
In the algorithm, the process is divided into two branches, smoke over l<strong>and</strong> <strong>and</strong><br />
smoke over ocean. The tests <strong>and</strong> thresholds <strong>of</strong> each branch are decided based on the<br />
spectral <strong>and</strong> statistical analyses <strong>of</strong> training data. In the algorithm, several blue b<strong>and</strong>s are<br />
used jointly or separately since they are sensitive to smoke. On the other h<strong>and</strong>, cloud<br />
module is introduced to mask cloud to observe smoke located close to cloud or mixed<br />
with cloud.<br />
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