Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(4), P. 1152 - 1152
Published: Feb. 20, 2023
Understanding
the
long-term
dynamics
and
driving
factors
behind
small
micro
wetlands
is
critical
for
their
management
future
sustainability.
This
study
explored
impacts
of
natural
anthropogenic
on
spatiotemporal
evolution
these
areas
in
Wuxi
area
using
support
vector
machine
(SVM)
classification
method
geographic
detector
model
based
Landsat
satellite
image
data
from
1985
to
2020.
The
results
revealed
that:
(1)
Natural
were
prominent
area,
with
an
average
proportion
70%,
although
they
exhibited
a
downward
trend
over
last
ten
years,
scale
increased
1.5-fold—from
4349.59
hm2
10,841.59
(2)
had
obvious
seasonal
variations,
most
being
0.1–1
1–3
hm2,
respectively.
From
perspective
spatial
distribution,
primarily
distributed
Yixing
district,
which
accounts
34%
area.
(3)
distribution
was
systematically
affected
by
human
activities.
main
that
annual
temperature
GDP,
interactions
between
all
nonlinear
bi-linear.
influences
weakened,
activities
steadily
emerging
as
dominant
factor
distribution.
this
can
provide
supportive
scientific
basis
ecological
restoration
protection
wetlands.
Remote Sensing,
Journal Year:
2021,
Volume and Issue:
13(21), P. 4320 - 4320
Published: Oct. 27, 2021
Aquaculture
has
grown
rapidly
in
the
field
of
food
industry
recent
years;
however,
it
brought
many
environmental
problems,
such
as
water
pollution
and
reclamations
lakes
coastal
wetland
areas.
Thus,
evaluation
management
aquaculture
are
needed,
which
accurate
mapping
is
an
essential
prerequisite.
Due
to
difference
between
inland
marine
areas
difficulty
processing
large
amounts
remote
sensing
images,
different
types
still
challenging.
In
this
study,
a
novel
approach
based
on
multi-source
spectral
texture
features
was
proposed
map
simultaneously
Time
series
optical
Sentinel-2
images
were
first
employed
derive
indices
for
obtaining
features.
The
backscattering
derived
from
synthetic
aperture
radar
(SAR)
Sentinel-1A
then
used
distinguish
other
geographical
entities.
Finally,
supervised
Random
Forest
classifier
applied
scale
area
mapping.
To
address
low
efficiency
implemented
Google
Earth
Engine
(GEE)
platform.
A
case
study
Pearl
River
Basin
(Guangdong
Province)
China
showed
that
obtained
with
overall
accuracy
89.5%,
implementation
GEE
platform
greatly
improved
may
support
decision-making
services
sustainable
development
ecological
protection
area,
holds
great
potential
aquacultures
both
national
global
scales.
Global Biogeochemical Cycles,
Journal Year:
2022,
Volume and Issue:
36(12)
Published: Dec. 1, 2022
Abstract
Plant
invasion
and
aquaculture
activities
have
drastically
modified
the
landscape
of
coastal
wetlands
in
many
countries,
but
their
impacts
on
soil
organic
carbon
(SOC)
mineralization
greenhouse
gas
production
remain
poorly
understood.
We
measured
SOC
rate
CO
2
CH
4
rates
three
habitat
types
from
21
sites
across
tropical
subtropical
zones
China:
native
mudflats
(MFs),
Spartina
alterniflora
marshes
(SAs),
ponds
(APs).
Landscape
change
MFs
to
SAs
or
APs
increased
total
labile
fraction
SOC,
as
well
production,
there
were
no
discernible
differences
source‐sink
dynamics
between
APs.
was
highest
(20.4
μg
g
−1
d
),
followed
by
(16.9
)
(11.9
with
dominant
by‐product.
Bioavailable
less
than
2%
turned
over
within
60
days
all
types.
Proliferation
S
.
expansion
AP
construction
had
resulted
a
net
increase
‐eq
0.4–4.3
Tg
yr
last
decades.
Future
studies
will
benefit
better
census
monitoring
habitats
China,
complementary
situ
measurements
emissions,
more
sampling
southern
provinces
improve
spatial
resolution.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(4), P. 1152 - 1152
Published: Feb. 20, 2023
Understanding
the
long-term
dynamics
and
driving
factors
behind
small
micro
wetlands
is
critical
for
their
management
future
sustainability.
This
study
explored
impacts
of
natural
anthropogenic
on
spatiotemporal
evolution
these
areas
in
Wuxi
area
using
support
vector
machine
(SVM)
classification
method
geographic
detector
model
based
Landsat
satellite
image
data
from
1985
to
2020.
The
results
revealed
that:
(1)
Natural
were
prominent
area,
with
an
average
proportion
70%,
although
they
exhibited
a
downward
trend
over
last
ten
years,
scale
increased
1.5-fold—from
4349.59
hm2
10,841.59
(2)
had
obvious
seasonal
variations,
most
being
0.1–1
1–3
hm2,
respectively.
From
perspective
spatial
distribution,
primarily
distributed
Yixing
district,
which
accounts
34%
area.
(3)
distribution
was
systematically
affected
by
human
activities.
main
that
annual
temperature
GDP,
interactions
between
all
nonlinear
bi-linear.
influences
weakened,
activities
steadily
emerging
as
dominant
factor
distribution.
this
can
provide
supportive
scientific
basis
ecological
restoration
protection
wetlands.
