Geoscience Reference
In-Depth Information
is covered by plants, it is useful to consider simple parametrical descriptions of this
dependence. A simpli
ed microwave model can be written as the following
integral:
2
3
2
3
Z
H
Z
H
Z
y
4
5 þ
4
5 dy þ fð H Þ
T B ð H Þ ¼e s T s exp
x Þ dx
T ð y Þcð y Þ exp
x Þ dx
0
0
0
ð 8
:
19 Þ
where
ʳ
is the absorption coef
cient, e s is the soil emissivity coef
cient, T s is the
soil temperature, T is the temperature of atmosphere, and
ʶ
is the model precision.
There exist different simpli
cations of equation ( 8.19 ). For example, various
approximations for T(y) and
ʳ
(y) are often used:
T 2 ;
0 y h
;
or T ð y Þ ¼T 0 þ T 1 y þþ T n y n
T ð y Þ ¼
T 1 ;
y H
:
h
\
and
:
For the satellite monitoring case it can be shown that
y Þ ¼ c 0 þ c 1 y or
c
ðÞ ¼const
T B ¼ e s T s p sat þ X
n 1
D l ð 0 Þ
ð 8
:
20 Þ
l¼1
where p sat is the atmospheric transmittance between soil surface and satellite,
dT ð h Þ
dh ; ...; D l ¼
dD l 1 ð h Þ
dh
1
h Þ
1
h Þ
D 1 ¼ T ð h Þ; D 2 ¼
; ... :
le T(h) into
consideration, formula ( 8.20 ) will calculate the brightness temperature T B with an
error equal to D n (0).
The more simpli
Taking different analytical representations for the vertical pro
ed microwave model ( 8.19 ) for the canopy-surface brightness
temperature is given as:
T B ðk; hÞ ¼e 2 T 2 þ R 21 ðhÞ T B ; sky ðh 1 ; h 2 Þ
ð 8
:
21 Þ
where
is the angle of incidence and T B,sky is the sky brightness temperature
incident on the canopy level from a direction (
ʸ
ʸ 1 ,
ʸ 2 ), with zenith and azimuth
angles
ʸ 2 , respectively.
Model ( 8.21 ) simpli
ʸ 1 and
uence of canopy temperature and
wind speed, for example, on the variations of the brightness temperature. This
analysis is possible with knowledge of the canopy roughness as a function of wind
speed.
es the analysis of the in
fl
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