Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(24), P. 5765 - 5765
Published: Dec. 17, 2023
As
one
of
the
major
water
supply
systems
for
inland
rivers,
especially
in
arid
and
semi-arid
regions,
snow
cover
strongly
affects
hydrological
cycles.
In
this
study,
remote
sensing
datasets
combined
with
in-situ
observation
data
from
a
route
survey
were
used
to
investigate
changes
parameters
on
Chinese
Altai
Mountains
2000
2022,
responses
climate
hydrology
also
discussed.
The
annual
frequency
(SCF),
area,
depth
(SD),
density
45.03%,
2.27
×
104
km2,
23.4
cm,
~0.21
g·cm−3,
respectively.
equivalent
ranged
0.58
km3
1.49
km3,
an
average
1.12
km3.
Higher
lower
SCF
mainly
distributed
at
high
elevations
both
sides
Irtysh
river.
maximum
minimum
occurred
Burqin
River
Basin
Lhaster
Basin.
years
SCF,
abnormal
westerly
airflow
was
favorable
vapor
transport
Mountains,
resulting
strong
snowfall,
vice
versa
low
SCF.
There
significant
seasonal
differences
impact
temperature
precipitation
regional
changes.
snowmelt
runoff
ratios
11.2%,
25.30%,
8.04%,
30.22%,
11.56%
Irtysh,
Kayit,
Haba,
Kelan,
Basins.
Snow
meltwater
has
made
contribution
Mountains.
Journal of Applied Remote Sensing,
Journal Year:
2024,
Volume and Issue:
18(02)
Published: June 19, 2024
Passive
microwave
remote
sensing
is
a
valuable
tool
for
snow
depth
estimation.
However,
accurate
retrieval
limited
by
nonlinear
relationships
between
the
and
passive
brightness
temperature
(TB)
that
are
caused
physical
properties,
underlying
surface
type,
topographical
factors.
Our
study
aims
to
enhance
estimation
in
Northern
Xinjiang
(NX),
China,
utilizing
Advanced
Microwave
Scanning
Radiometer
2
TB
data
(with
resolution
of
0.1
deg)
fractional
cover
products
through
combination
wavelet
transform
two
artificial
neural
network
(ANN)
models:
feedforward
(FFNN)
generalized
regression
(GRNN).
The
hybrid
models
were
trained
validated
using
situ
observations
from
44
stations
across
NX.
Results
indicate
applying
reduces
root-mean-square
error
(RMSE)
28.88%
FFNN.
In
season
2013
2014,
Wavelet-GRNN
(RMSE:
7.36
cm,
NSE:
0.59,
R:
0.78,
bias:
1.68
cm)
outperforms
Wavelet-FFNN
8.26
0.48,
0.75,
1.69
10.90%.
exhibits
superior
performance,
up
13.78%
than
complex
topographic
areas
like
Xiaoquzi
station.
addition,
spatial–temporal
estimations
demonstrate
surpass
three
well-known
alleviate
issues
excessively
high
or
low
values
These
findings
underscore
effectiveness
combining
ANNs,
integrating
auxiliary
data,
mountainous
regions.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(24), P. 5765 - 5765
Published: Dec. 17, 2023
As
one
of
the
major
water
supply
systems
for
inland
rivers,
especially
in
arid
and
semi-arid
regions,
snow
cover
strongly
affects
hydrological
cycles.
In
this
study,
remote
sensing
datasets
combined
with
in-situ
observation
data
from
a
route
survey
were
used
to
investigate
changes
parameters
on
Chinese
Altai
Mountains
2000
2022,
responses
climate
hydrology
also
discussed.
The
annual
frequency
(SCF),
area,
depth
(SD),
density
45.03%,
2.27
×
104
km2,
23.4
cm,
~0.21
g·cm−3,
respectively.
equivalent
ranged
0.58
km3
1.49
km3,
an
average
1.12
km3.
Higher
lower
SCF
mainly
distributed
at
high
elevations
both
sides
Irtysh
river.
maximum
minimum
occurred
Burqin
River
Basin
Lhaster
Basin.
years
SCF,
abnormal
westerly
airflow
was
favorable
vapor
transport
Mountains,
resulting
strong
snowfall,
vice
versa
low
SCF.
There
significant
seasonal
differences
impact
temperature
precipitation
regional
changes.
snowmelt
runoff
ratios
11.2%,
25.30%,
8.04%,
30.22%,
11.56%
Irtysh,
Kayit,
Haba,
Kelan,
Basins.
Snow
meltwater
has
made
contribution
Mountains.
