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
156, С. 111133 - 111133
Опубликована: Окт. 27, 2023
The
development
of
the
Yellow
River
Basin
(YRB)
has
been
constrained
by
resource
utilization,
ecological
conservation,
and
economic
growth.
aim
this
study
was
to
establish
a
theoretical
framework
for
characterizing
relationships
among
resources,
economy,
ecology
in
YRB
using
panel
data
remote
sensing
from
nine
provinces
basin
2002
2022.
Furthermore,
coupling
coordination
degree
model
geographical
detector
were
used
evaluate
spatiotemporal
relevant
factors.
Our
findings
manifold.
(1)
its
improved
varying
degrees,
with
upstream
showing
stronger
than
midstream
downstream
provinces.
(2)
most
significant
growth
rates
observed
during
2002–2006
2014–2018.
However,
noticeable
decline
occurred
2006–2010,
indicating
that
constraints
negative
effects
pronounced
when
not
apparent.
(3)
average
2022
0.684.
Excellent
Shandong
Province
Henan
Province,
good
Shaanxi
Shanxi
Province.
(4)
In
initial
part
period,
water
supply,
demand,
allocation
had
strong
on
degree.
Over
time,
focus
shifted
single
system
multiple
systems,
which
increased
similarity
explanatory
power
different
Additionally,
an
in-depth
analysis
factors
conducted
characterize
policy
orientations
periods
YRB.
Policy
recommendations
provided
basis
natural
conditions
socio-economic
have
implications
high-quality
Generally,
our
results
provide
key
insights
will
aid
coordinated
sustainable
regional
development.
Remote Sensing,
Год журнала:
2024,
Номер
16(4), С. 682 - 682
Опубликована: Фев. 14, 2024
As
a
region
susceptible
to
the
impacts
of
climate
change,
evaluating
temporal
and
spatial
variations
in
ecological
environment
quality
(EEQ)
potential
influencing
factors
is
crucial
for
ensuring
security
Tibetan
Plateau.
This
study
utilized
Google
Earth
Engine
(GEE)
platform
construct
Remote
Sensing-based
Ecological
Index
(RSEI)
examined
dynamics
Plateau’s
EEQ
from
2000
2022.
The
findings
revealed
that
RSEI
Plateau
predominantly
exhibited
slight
degradation
trend
2022,
with
multi-year
average
0.404.
Utilizing
SHAP
(Shapley
Additive
Explanation)
interpret
XGBoost
(eXtreme
Gradient
Boosting),
identified
natural
as
primary
influencers
on
Plateau,
temperature,
soil
moisture,
precipitation
variables
exhibiting
higher
values,
indicating
their
substantial
contributions.
interaction
between
temperature
showed
positive
effect
RSEI,
value
increasing
rising
precipitation.
methodology
results
this
could
provide
insights
comprehensive
understanding
monitoring
dynamic
evolution
amidst
context
change.
