Combination on GNSS precise point positioning and InSAR data fusion to monitor the land subsidence in Taiwan
Geomatics Natural Hazards and Risk,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 3, 2025
The
Choushui
River
alluvial
fan
is
an
important
agricultural
production
region
in
western
Taiwan.
This
insufficient
level
of
rainfall
replenishment,
combined
with
the
unauthorized
use
wells
to
irrigate
crops,
exacerbated
land
subsidence
region.
In
this
study,
levelling,
global
navigation
satellite
system
(GNSS),
and
interferometric
synthetic
aperture
radar
(InSAR)
observation
data
were
collected
from
2018
2021
for
analysis.
GNSS
processed
using
precise
point
positioning
method,
results
compared
traditional
static
relative
method.
3-year
cumulative
at
centre
was
approximately
9
cm
Changhua
19
Yunlin.
To
compensate
lack
spatial
resolution
improve
accuracy
InSAR,
GNSS,
levelling
integrated,
these
validated
against
check
points.
They
showed
average
error
0.4
cm/year
annual
rate.
Overall,
had
high
precision
continuity,
making
it
suitable
real-time
early
warning
subsidence.
InSAR
obtained
higher
resolution,
allowing
detection
new
areas
comprehensive
monitoring
changes
across
entire
Язык: Английский
Study on the Relationship between Groundwater and Land Subsidence in Bangladesh Combining GRACE and InSAR
Remote Sensing,
Год журнала:
2024,
Номер
16(19), С. 3715 - 3715
Опубликована: Окт. 6, 2024
Due
to
a
heavy
reliance
on
groundwater,
Bangladesh
is
experiencing
severe
decline
in
groundwater
storage,
with
some
areas
even
facing
land
subsidence.
This
study
aims
investigate
the
relationship
between
storage
changes
and
subsidence
Bangladesh,
utilizing
combination
of
GRACE
InSAR
technologies.
To
clarify
this
from
macro
perspective,
employs
data
merged
GLDAS
analyze
SBAS-InSAR
technology
assess
The
Dynamic
Time
Warping
(DTW)
method
calculates
similarity
time
series,
incorporating
precipitation
cover
types
into
analysis.
findings
reveal
following:
(1)
Groundwater
declining
at
an
average
rate
−5.55
mm/year,
most
significant
declines
occurring
Rangpur,
Mymensingh,
Rajshahi.
Notably,
closely
match
regions
deeper
levels;
(2)
coefficient
series
exceeds
0.85.
Additionally,
different
shows
lagged
response
2
6
months
storage.
confirms
connection
dynamics
providing
essential
knowledge
theoretical
support
for
further
research.
Язык: Английский
A Persistent Scatterer Point Selection Method for Deformation Monitoring of Under-Construction Cross-Sea Bridges Using Statistical Theory and GMM-EM Algorithm
Remote Sensing,
Год журнала:
2024,
Номер
16(12), С. 2197 - 2197
Опубликована: Июнь 17, 2024
Using
traditional
algorithms
to
identify
persistent
scatterer
(PS)
points
is
challenging
during
bridge
construction
because
of
short-term
changes
at
sites,
such
as
earthworks,
well
the
erection
and
dismantling
temporary
structures.
To
address
this
issue,
study
proposes
a
PS
point
selection
method
based
on
statistical
theory
Gaussian
Mixture
Model-Expectation
Maximization
(GMM-EM)
algorithm.
This
adopts
amplitude
information
an
incoherence
evaluation
indicator.
Furthermore,
median
dispersion
index
mean
screened
twice
extract
set
candidate
points,
including
that
exhibit
stable
backscattering
over
long
durations.
Temporal
coherence
simultaneously
used
Another
obtained
by
extracting
high-coherence
using
GMM-EM
These
sets
are
then
combined
obtain
final
set.
In
experiment,
deformation
monitoring
under-construction
Shenzhen-Zhongshan
Cross-Sea
Bridge
in
China
was
selected
case
study,
with
28
Sentinel-1A
images
data
source
for
extraction.
The
results
show
proposed
enhanced
density
quality
cross-sea
compared
existing
methods,
thus
offering
higher
reliability.
Deformation
analysis
further
revealed
fluctuating
trends
characteristic
Bridge,
indicating
occurrence
elastic
its
construction.
Язык: Английский
Synthesis of drainage characteristics, water resources and sediment supply of the Bengal basin
Quaternary Science Advances,
Год журнала:
2024,
Номер
unknown, С. 100244 - 100244
Опубликована: Сен. 1, 2024
Язык: Английский
Risk Assessment of Ground Subsidence in Foshan (China) Based on the Integration of SBAS-InSAR Observations and Inducing Factors
Remote Sensing,
Год журнала:
2024,
Номер
17(1), С. 108 - 108
Опубликована: Дек. 31, 2024
In
recent
years,
the
rapid
development
of
construction
economy
in
Foshan
City
has
led
to
increasingly
apparent
geological
phenomena
ground
subsidence,
causing
damage
buildings
and
infrastructures,
lowering
groundwater
level,
soil
degradation,
environmental
pollution.
These
issues
have
severely
constrained
economic
City.
This
paper
utilized
SBAS-InSAR
technology
monitor
deformation
over
2017–2022
period
identified
214
potential
subsidence
hazards.
Additionally,
integrating
extensive
surface
data
from
a
long
time
series
establishes
risk
assessment
index
system
for
primarily
driven
by
activities.
Further,
mechanism
was
analyzed
systematically.
Meanwhile,
introducing
analytic
hierarchy
process
method
(AHP)
assess
City,
results
showed
that
proportion
area
high-risk
low-risk
zones
is
8.55%,
8.64%,
11.79%,
22.38%
48.64%,
respectively.
Moreover,
this
proposed
corresponding
measures
prevent
control
subsidence.
The
evaluation
can
provide
scientific
reference
future
disaster
prevention
management
Язык: Английский