Remote Sensing,
Год журнала:
2024,
Номер
16(24), С. 4778 - 4778
Опубликована: Дек. 21, 2024
The
Loess
Plateau
(LP)
in
China
is
an
ecologically
fragile
region
that
has
long
faced
challenges
such
as
soil
erosion,
water
shortages,
and
land
degradation.
spatial
temporal
variations
ecological
environment
quality
on
the
LP
from
2000
to
2020
were
analyzed
using
Remote
Sensing
Ecological
Index
(RSEI)
Google
Earth
Engine
(GEE)
platform.
Sen,
Mann–Kendall,
Hurst
exponent
analyses
used
examine
variation
trends
over
past
20
years,
while
Geodetector
identified
key
factors
influencing
RSEI
changes
their
interactions.
results
indicate
(1)
effectively
represents
environmental
of
LP,
with
47%
study
area’s
annual
mean
values
20-year
period
classified
moderate,
ranging
0.017
0.815.
(2)
showed
improvement
72%
area,
a
90%
overall
increase,
but
84%
these
are
not
likely
continue.
(3)
Key
during
abrupt
change
years
included
precipitation,
use/land
cover,
sediment
content,
precipitation
topography
emerging
primary
influences
quality.
Although
natural
largely
drive
changes,
human
activities
also
exert
both
positive
negative
effects.
This
underscores
importance
sustainable
management
provides
policy
insights
for
advancing
civilization
contributing
achievement
Sustainable
Development
Goals
(SDGs).
Ecological Indicators,
Год журнала:
2023,
Номер
146, С. 109896 - 109896
Опубликована: Янв. 14, 2023
Rapid
urbanization
and
human
activities
make
the
contradiction
between
ecological
environment
more
obvious,
maintaining
balance
achieving
harmonious
development
living
has
also
become
main
goal
of
sustainable
development.
The
urban
agglomeration
on
northern
slope
Tianshan
Mountains
(UANSTM)
is
a
typical
arid
inland
emerging
agglomeration,
relationship
here
very
sensitive.
To
reveal
spatiotemporal
changes
in
quality
UANSTM
from
2000
to
2020,
this
study
used
Google
Earth
Engine
(GEE)
platform,
calculating
remote
sensing
index
(RSEI)
based
MODIS
data
products,
addition
an
space
atlas
Land-Use
Land-Cover
Change
(LUCC)
sets.
At
same
time,
geographical
detector
model
(GDM)
been
exploring
influencing
factor
RSEI.
result
shows
that
1)
mean
value
RESI
area
continued
rise
first
15
decreased
slightly
last
5
a.
2)
In
past
20
a,
improvement
obvious
(IO)
gradually
expanded,
proportion
increased.
sum
areas
deterioration
(DO)
slight
(DS)
far
smaller
than
(IS)
(IO),
which
indicates
UANSTMN
tends
improve.
3)
distribution
land
(EL)
>
semi-ecological
(SEL)
weak
(WEL).
EL
decreasing,
while
SEL
WEL
increasing.
4)
RSEI
greenness,
interaction
heat,
dryness,
greenness
had
effect
better
with
higher
wet,
lower
dryness
or
heat.
Ecological Indicators,
Год журнала:
2023,
Номер
148, С. 110084 - 110084
Опубликована: Март 5, 2023
As
the
core
area
in
transformation
of
Kunming
into
an
international
center
city,
studying
changes
ecological
environment
quality
and
causes
Dianchi
Lake
Basin
is
great
significance
for
its
future
optimization
landscape
pattern.
This
study
based
on
Google
Earth
Engine
(GEE)
platform
to
calculate
Remote
Sensing
Ecological
Index
(RSEI)
from
1990
2020.
Then
we
used
Mann-Kendall
mutation
detection
obtain
time
points
when
significant
RSEI
occurred.
Finally,
Geodetector
MGWR
models
were
combined
analyse
driving
factors
Basin.
The
results
show
that:
(1)
showed
increasing
trend
2020,
with
mean
value
0.49
0.52.
(2)
According
test,
years
1990,
1993,
2006,
2015,
2020
as
monitoring
over
a
long
series.
past
30
was
mainly
improved
state,
accounting
49.43%.
deterioration
areas
are
located
northeastern
part
Xishan
District
(north
Caohai
Lake),
southwestern
Guandu
District,
Kunyang
Town
Jining
northern
Jincheng
Shangsuan
Town.
(3)
single
factor
that
elevation
slope
have
strongest
influence
RSEI.
q-value
average
annual
temperature
has
changed
most,
6th
3rd
place.
indicates
urban
heat
island
effect
expansion
construction
land
had
greater
impact
local
recent
years.
multi-factor
interaction
test
shows
each
enhanced
after
interaction.
(4)
regression
actual
scales
action
inconsistent,
most
spatial
heterogeneity
Percentage
cropland
area.
Based
above
findings,
it
can
provide
data
support
planning
It
also
provides
new
means
integrating
analysis.
Ecological Indicators,
Год журнала:
2024,
Номер
158, С. 111447 - 111447
Опубликована: Янв. 1, 2024
Urbanization
results
in
drastic
land
use/cover
change
(LUCC)
and
ecological
resilience
(ER)
issues,
which
has
become
an
important
urgent
question
of
regional
sustainability.
This
study
applied
the
remote
sensing
index
(RSEI)
to
represent
ER,
further
combined
ordinary
least
squares
(OLS),
Google
Earth
Engine
(GEE)
platform
analyze
spatiotemporal
variations
ER
LUCC
at
city
scales
from
1990
2020
Hangzhou
Bay
Metropolitan
Area
(HBMA),
explore
relationship
between
LUCC,
apply
for
urban
management
zoning.
The
demonstrated
that
HBMA
showed
a
characteristic
"slightly
worse
overall
improved
locally",
mean
value
decreased
0.508
0.502
2020.
Specifically,
Shanghai,
Shaoxing,
Ningbo
increased,
others
decreased.
exhibited
very
obvious
spatial
aggregation
feature
"high
southwest
low
northeast".
dynamic
depicted
expansion
construction
was
expense
occupying
cropland.
degree
population
have
significant
negative
effects
on
ER.
zoning
could
be
divided
into
five
zones,
namely
core
protection
area,
monitoring
optimization
restoration
potential
governance
area.
Results
this
provide
more
comprehensive
understanding
metropolitan
areas
implication
provided
improve
adaptation
sustainable
development
coastal
Anthropogenic
activities,
particularly
land
reclamation
and
industrialization,
have
severely
damaged
South
Korea’s
intertidal
zones,
resulting
in
a
decline
biodiversity.
In
our
study,
we
assessed
the
macrobenthic
community
zone
of
Anmyeon
Island,
Korea,
used
remote
sensing
to
evaluate
impact
anthropogenic
activities
on
adjacent
areas.
Spearman
Principal
Coordinate
Analysis
(PCoA)
indicated
that
remote-sensing
ecological
index
(RSEI)
is
viable
indicator
for
assessing
dissimilarity
communities
these
zones.
Moreover,
biota–environment
matching
(BIO–ENV)
distance-based
redundancy
analysis
(dbRDA)
demonstrated
cover
types
significantly
influence
nearby
Our
study
suggested
urbanization
agricultural
affected
terrestrial
environment
communities.
Consequently,
protection
zones
should
extend
beyond
their
borders
include
management
lands.
research
contributes
valuable
insights
help
inform
conservation
strategies
policy-making
necessary
safeguard
Ecological Indicators,
Год журнала:
2022,
Номер
141, С. 109080 - 109080
Опубликована: Июнь 22, 2022
Remote
Sensing
Ecological
Index
(RSEI)
is
one
of
the
most
widely
used
ecological
quality
assessment
indicators.
Due
to
noise
caused
by
adverse
atmoshperic
conditions
and
other
factors,
RSEI
calculated
from
original
image
usually
has
phenomena
lack
information
unstable
quality.
Therefore,
based
on
Google
Earth
Engine
(GEE)
cloud
platform,
this
study
adopts
three
common
data
reconstruction
algorithms
firstly,
namely:
Savitory-Golay
filter
(SG),
harmonic
analysis
time
series
(HANTS),
Whittaker
Smoother
(WS),
which
are
reconstruct
MODIS
in
Yangtze
River
Basin
(YRB)
2000
2020,
order
optimize
calculation
process
RSEI.
At
same
time,
indicators
(correlation
coefficient
(R),
standard
deviation
(STD),
root
mean
square
error
(RMSE))
for
accuracy
evaluation.
The
results
show
that
can
fill
gaps
RSEI,
performance
WS
SG
four
parameters
better
than
HANTS,
reconstructed
sequences
have
strongest
correlation
with
(R
between
0.8
∼
1),
while
sequence
lowest
value
(both
STD
RMSE
less
both
them
correct
pixel
value,
conducive
maintaining
stability
temporal
dimension;
produced
HANTS
best
accuracy,
is,
R,
STD,
respectively
0.898,
0.130,
0.104.
As
shown
research,
it
necessary
de-noise
each
parameter
before
synthesizing
This
provide
a
theoretical
basis
applying
time-frequency
monitoring
