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 0 /2<br />
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b ( 0 0, 0; , ) k1 exp <br />
t ( ; 0, 0)<br />
0 /2<br />
s <br />
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0<br />
<br />
* <br />
k2 exp <br />
ts<br />
( ; , )<br />
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t( ; ) t(<br />
; )<br />
RSR( ) d<br />
1 r<br />
( ) r ( )<br />
0<br />
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s g<br />
00100(;,)(;,;,) ggrkr<br />
200()(;,;,) ggrkr <br />
24<br />
(3.4c)<br />
(3.4d)<br />
(3.4e)<br />
In Eq. 3.4a, it is reasonable to say that the signal received by the <strong>sensor</strong> come from<br />
two parts: one is reflected by the aerosol layer directly <strong>and</strong> the other is contributed from<br />
the ground surface.<br />
3.2.2 <strong>Smoke</strong> spectral feature<br />
The continuous measurements <strong>of</strong> Hyperion, a hyperspectral <strong>sensor</strong>, are collected for<br />
analyzing the spectral characteristics <strong>of</strong> the smoke. The Fig. 3.3 show the smoke plume<br />
originated from the Aspen fire in Arizona on July 7, 2003. The first subplot is the true<br />
color image <strong>and</strong> rest <strong>of</strong> eight subplots are derived from measurements <strong>of</strong> eight typical<br />
b<strong>and</strong>s with CW 447, 549, 600, 651, 752, 854, 1044, <strong>and</strong> 1245 nm. Those eight b<strong>and</strong>s are<br />
chosen because they have the similar CW to those corresponding b<strong>and</strong>s in MODIS. In the<br />
figure, the smoke plume has the strong reflectivity in the short wavelength b<strong>and</strong>s but