Remote Sensing,
Год журнала:
2024,
Номер
16(21), С. 3993 - 3993
Опубликована: Окт. 28, 2024
The
evaluation
and
prediction
of
ecological
benefits
are
significant
for
regional
resource
development
planning
path
designing.
This
study
established
a
novel
system
by
integrating
macro-ecosystem
structure,
Ecosystem
service
index
(ESI),
quality
(EQI).
Based
on
this
system,
evaluated
the
spatiotemporal
characteristics
changing
trend
in
Song-Liao
River
Basin
(SRB)
from
1990
to
2020.
results
show
that
structure
remains
stable,
ecosystem
generally
first
decline
then
increase.
average
growth
rates
ESI
EQI
were
0.6%
0.4%,
respectively,
during
1990–2020.
natural
areas
with
widely
distributed
forest
higher,
while
those
frequent
human
activities
lower.
model
based
machine
learning
has
achieved
good
modeling
effect,
which
shows
SRB
will
be
rise
future.
results,
we
suggest
more
environmental
protection
policies
basis
maintaining
existing
plan
should
promoted
reduce
contradiction
between
nature
process.
For
abundant
forests
area,
reasonable
management
carried
out
improve
carbon-fixation
capacity
vegetation,
Methodology
managing
constructed
make
full
use
carbon
sinks.
new
afforestation
project
being
promoted,
carbon-sink
projects
CCER
(Chinese
Certified
Emission
Reduction)
realize
synergy
economic
protection.
Remote Sensing,
Год журнала:
2024,
Номер
16(4), С. 684 - 684
Опубликована: Фев. 15, 2024
The
ecological
quality
of
large-scale
farms
is
a
critical
determinant
crop
growth.
In
this
paper,
an
assessment
procedure
suitable
for
agricultural
regions
should
be
developed
based
on
improved
remote
sensing
index
(IRSEI),
which
introduces
integrated
salinity
(ISI)
tailored
to
the
salinized
soil
characteristics
in
farming
areas
and
incorporates
indices
such
as
greenness
(NDVI),
humidity
(WET),
dryness
(NDBSI),
heat
(LST).
results
indicate
that
between
2013
2022,
mean
IRSEI
increasing
from
0.500
0.826
2020
before
decreasing
0.646
2022.
From
area
farm
experienced
slight
significant
improvements
reached
1419.91
km2,
accounting
71.94%
total
area.
An
analysis
different
land
cover
types
revealed
performed
more
reliably
than
did
original
RSEI
method.
Correlation
yields
showed
method
was
strongly
correlated
with
yield
Therefore,
proposed
offers
rapid
effective
new
means
monitoring
planting
characterized
by
salinization,
it
traditional
Remote Sensing,
Год журнала:
2024,
Номер
16(13), С. 2380 - 2380
Опубликована: Июнь 28, 2024
Human
beings
are
facing
increasingly
serious
threats
to
the
ecological
environment
with
industrial
development
and
urban
expansion.
The
changes
in
environmental
quality
(EEQ)
their
driving
factors
attracting
increased
attention.
As
such,
simple
effective
monitoring
processes
must
be
developed
help
protect
environment.
Based
on
RSEI,
we
improved
data
dimensionality
reduction
method
using
coefficient
of
variation
method,
constructing
RSEI-v
Landsat
MODIS
data.
RSEI-v,
quantitatively
monitored
characteristics
EEQ
Hunan
Province,
China,
its
spatiotemporal
response
human
activities
climate
factors.
results
show
following:
(1)
RSEI
perform
similarly
characterizing
quality.
calculated
is
a
positive
indicator
EEQ,
but
not.
(2)
high
values
concentrated
eastern
western
mountainous
areas,
whereas
low
central
plains.
(3)
A
total
49.40%
area
was
experiencing
substantial
areas
significant
decreases
(accounting
for
2.42%
area)
were
vicinity
various
cities,
especially
Changsha–Zhuzhou–Xiangtan
agglomeration.
increases
16.97%
forests.
(4)
decreases,
accounting
more
than
60%
area,
mainly
affected
by
activities.
surrounding
Changsha
Hengyang
experienced
noteworthy
EEQ.
where
precipitation
temperature
areas.
This
study
provides
valuable
reference
protection.
Remote Sensing,
Год журнала:
2024,
Номер
16(20), С. 3834 - 3834
Опубликована: Окт. 15, 2024
Water
scarcity
and
ecological
degradation
in
arid
zones
present
significant
challenges
to
regional
health.
Despite
this,
integrating
the
water
supply–demand
balance
supply
security
(SEC)
into
health
assessments—particularly
through
composite
indicators—remains
underexplored
regions.
In
this
study,
we
assessed
changes
Xinjiang
by
utilizing
multivariate
remote
sensing
data,
focusing
on
between
demand,
degree
of
SEC,
ecosystem
resilience
(ER).
Our
results
indicate
that
while
demand
remained
relatively
stable
northern
2000
2020,
conflict
intensified
southern
eastern
agricultural
SEC
evaluations
revealed
73.3%
region
experienced
varying
degrees
decline
over
20-year
period.
Additionally,
ER
assessments
showed
7.12%
exhibited
a
decline,
with
78.6%
experiencing
overall
reductions
The
indicators’
response
drought
demonstrated
improvements
during
wet
conditions
were
less
pronounced
than
declines
droughts.
This
study
underscores
necessity
prioritizing
areas
lower
future
allocation
strategies
optimize
resource
utilization.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 18, 2024
Abstract
Ecological
quality
and
its
influencing
factors
are
important
contents
of
ecological
security
in
Guangdong
Province.
As
the
representative
China's
high-quality
development,
maintaining
is
great
significance
to
construction.
Based
on
remote
sensing
index
(RSEI),
this
paper
analyzes
temporal
spatial
changes
Province
from
2000
2023.
According
ENVI
Arcgis
software,
correlation
RSEI
calculated
drawn.
At
same
time,
R2
OLS
MGWR
models
fitted
verify
linear
fitting
relationship
between
The
research
results
show
that:
(1)
development
generally
shows
a
downward
trend
2023;
(2)
change
different
periods;
(3)
strong
auto-correlation;
(4)
potential
not
only
positive,
but
also
negative.
above
conclusions,
article
puts
forward
corresponding
policy
suggestions.
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 6728 - 6728
Опубликована: Авг. 6, 2024
Industrial
development
and
population
expansion
has
had
serious
negative
impacts
on
the
water
ecological
environment,
enhancing
resilience
(WER)
become
a
new
sustainable
goal.
Current
research
WER
is
mostly
about
assessment
including
systems.
In
order
to
explore
of
Yangtze
River
Economic
Belt
(YREB),
ecology
were
combined
form
concept
WER.
Based
“social-ecological”
perspective,
DCSMI
(Driving
Force—Carrying
Capacity—State—Management—Innovation)
evaluation
index
system
was
constructed,
which
consists
five
subsystems.
The
YREB
from
2011
2022
measured
by
using
game-theoretic
combination
weights
comprehensive
method,
then
with
kernel
density
(KD)
estimation,
Thiel
index,
center
gravity-standard
deviation
ellipse
(SDE)
method
reveal
differences
spatial
evolution
characteristics
YREB.
Finally,
key
factors
influencing
explored
BP-DEMATEL
model.
It
found
that
(1)
average
value
in
declined
0.4562
0.4442,
polarization
obvious,
overall
gap
widening
trend,
between
different
basins
main
reason
for
(2)
presents
an
asymmetric
U-shaped
distribution
pattern
downstream
optimal,
upstream
medium,
midstream
worst,
presenting
northwestern–southeastern
pattern.
(3)
top-ranked
provinces
are
concentrated
layer
State
(S)
indicators,
middle-ranked
back-ranked
more
influenced
Driving
Force
(D)
Carrying
Capacity
(C)
respectively,
Management
(M)
Innovation
(I)
indicators
distributed
several
provinces.
These
results
can
provide
theoretical
support
construction
“resilient
cities”
optimization
