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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
cð
x
Þ
dx
T
ð
y
Þcð
y
Þ
exp
cð
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
cð
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
cð
h
Þ
1
cð
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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