such as the total precipitable water and the characteristics of the middle-infrared
channel of 3.9 μm to correct for atmospheric effects.
The land surface temperature can be produced for each cloud-free land pixel
observed by the GOES sensor. The spectral characters of GOES-12 through 15
imager are listed in Table 19.1.
19.3 Theoretical Description
The GOES-LST algorithm development is based on a scientific research conducted
by Sun and Pinker (2004) and Yu et al. (2008, 2009a, b, c). Theoretical details of the
research are provided in this section.
Wavelength (µm)
14.3
300
280
260
240
220
200
700
7.69
1300 1400 1500 1600 1700 1800 1900
2400
2500
2600
2700
7.14
6.67
6.25
5.88
5.56
5.26
4.17
4
3.85
3.7
750
800
850
900
950
1000
1050
GOES–08 Imager
GOES–12 Imager
1100
1150
1200
1250
300
280
260
240
220
200
300
280
260
240
220
200
300
280
260
240
220
200
300
280
260
240
220
200
300
280
260
240
220
200
13.3
Brightness Temperature(K)
Brightness Temperature(K)
Wavenumber (cm
-1
)
Wavenumber (cm
-1 )
12.5
11.8
11.1
10.5
10
9.52
9.09
8.7
8.33
8
Fig. 19.2 Spectral distribution of the GOES-8 and GOES-12 imager channels
19 Land Surface Temperature (LST) Retrieval from GOES Satellite Observations
299