Abstract:
Soil moisture is one of the key parameters of land-atmosphere interaction, which affect the seasonal and interannual
variations
of
the
global
and
regional
water
cycle
considerably.
To
find
out
a
long-term
trend
of
this
parameter,
a
Special
Sensor
Microwave
Imager
(SSM/I)
algorithm
is
proposed
in
this
paper
by
extending
an
Advanced
Microwave
Scanning
Radiometer
(AMSR-E)
algorithm.
A
microwave
brightness
temperature
which
was
obtained
by
SSM/I
is
calibrated
to
fill
in
gaps
of
models.
Although there is disadvantage to estimate soil moisture using SSM/I data, accuracy equal to AMSR-E was
obtained through an algorithm validation in the Mongolia reference site of the Coordinated Enhanced Observing
Period (CEOP), and a trend of this site was found out by applying the algorithm to the long-term SSM/I data.
