AIR POLLUTION – MONITORING MODELLING AND HEALTH
air pollution â monitoring, modelling and health - Ademloos air pollution â monitoring, modelling and health - Ademloos
128 Air Pollution – Monitoring, Modelling and Health L ts is the at-satellite radiance (integrated band radiance measured in W/m 2 /sr) L is the atmospheric path radiance (integrated band radiance measured in W/m 2 /sr) P E G is the global irradiance reaching the ground t( ) is the direct (upward) target-sensor atmospheric transmittance For a dark object such as a large water reservoir the target reflectance (at ground level, tg dg is very low but is not zero. From this large reservoir the darkest pixel will be seen at-satellite to have radiance L ts L ds . Therefore equation 1 can be re-written as: .L L ds P dg t( ) . E G (2) where dg is the dark target reflectance at ground level L ds is the dark target radiance at the sensor in W/m 2 /sr The aerosol optical thickness was calculated using equation 3 as given by Hadjimitsis and Clayton (2009) [3]: L pa EO.cos( 0 ). Pa a . 4 cos( 0) cos( ) 1 exp a1 cos0 1 cos . tH . . 2O t O 3 expr 1 cos0 1 cos The algorithm as presented by Hadjimitsis and Clayton (2009) required the following parameters: (3) ground reflectance values for the selected ground dark target either zero or any value up to 5 % until the AOT value gets maximum (from spectro-radiometric measurements, suitable water target, for example for water dams values of 0 to 5 % for TM band 1) the at-satellite reflectance value of the darkest pixel or target (from the image) and the aerosol characteristics (e.g. aerosol scattering albedo) unless you will make assumptions based on previous studies .eg for urban areas aerosol scattering albedo=0.78 By running equation (3) and (2), AOT value was found for Landsat TM band 1. The first example indicates the AOT values as measured by CIMEL sun-photometer for the whole day, 20/4/2010 as well for the whole month (see Figures 10 and 11). For the Landsat ETM+ image acquired on 20/4/2010, the AOT was found to be 1.4 after the application of the darkest pixel atmospheric correction i.e indirect method of retrieving AOT values. Such value complies with the AOT value found during the satellite overpass for that day as shown from Figure 11. Figure 12 shows that the daily AOT values for April 2010 from AERONET, the 20 th of April 2010 has the highest value.
Air Pollution Monitoring Using Earth Observation & GIS 129 Fig. 11. Daily distribution of AOT by AERONET for the 20 th of April 2010. (Hadjimitsis et al., 2010). Fig. 12. Monthly distribution of AOT (11-30/April/2010) by AERONET (Hadjimitsis et al., 2010).
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128<br />
Air Pollution <strong>–</strong> Monitoring, Modelling and Health<br />
L ts is the at-satellite radiance (integrated band radiance measured in W/m 2 /sr)<br />
L is the atmospheric path radiance (integrated band radiance measured in W/m 2 /sr)<br />
P<br />
E G is the global irradiance reaching the ground<br />
t( )<br />
is the direct (upward) target-sensor atmospheric transmittance<br />
For a dark object such as a large water reservoir the target reflectance (at ground level,<br />
tg<br />
dg<br />
is very low but is not zero. From this large reservoir the darkest pixel will be seen<br />
at-satellite to have radiance L ts L ds . Therefore equation 1 can be re-written as:<br />
.L<br />
L <br />
ds P<br />
dg<br />
<br />
t( ) . E<br />
G<br />
(2)<br />
where<br />
dg is the dark target reflectance at ground level<br />
L ds is the dark target radiance at the sensor in W/m 2 /sr<br />
The aerosol optical thickness was calculated using equation 3 as given by Hadjimitsis and<br />
Clayton (2009) [3]:<br />
L<br />
pa<br />
<br />
<br />
<br />
<br />
EO.cos( 0<br />
). Pa<br />
<br />
a<br />
.<br />
4 cos( 0) cos( <br />
) <br />
1 exp<br />
a1 cos0<br />
1 cos <br />
<br />
. tH . .<br />
2O t<br />
<br />
O <br />
3<br />
expr<br />
1 cos0<br />
1 cos<br />
<br />
The algorithm as presented by Hadjimitsis and Clayton (2009) required the following<br />
parameters:<br />
(3)<br />
<br />
<br />
<br />
ground reflectance values for the selected ground dark target either zero or any value<br />
up to 5 % until the AOT value gets maximum (from spectro-radiometric measurements,<br />
suitable water target, for example for water dams values of 0 to 5 % for TM band 1)<br />
the at-satellite reflectance value of the darkest pixel or target (from the image)<br />
and the aerosol characteristics (e.g. aerosol scattering albedo) unless you will make<br />
assumptions based on previous studies .eg for urban areas aerosol scattering<br />
albedo=0.78<br />
By running equation (3) and (2), AOT value was found for Landsat TM band 1.<br />
The first example indicates the AOT values as measured by CIMEL sun-photometer for the<br />
whole day, 20/4/2010 as well for the whole month (see Figures 10 and 11). For the Landsat<br />
ETM+ image acquired on 20/4/2010, the AOT was found to be 1.4 after the application of<br />
the darkest pixel atmospheric correction i.e indirect method of retrieving AOT values. Such<br />
value complies with the AOT value found during the satellite overpass for that day as<br />
shown from Figure 11. Figure 12 shows that the daily AOT values for April 2010 from<br />
AERONET, the 20 th of April 2010 has the highest value.