Sensors,
Journal Year:
2024,
Volume and Issue:
24(22), P. 7224 - 7224
Published: Nov. 12, 2024
High-precision
extraction
of
mangrove
areas
is
a
crucial
prerequisite
for
estimating
area
as
well
regional
planning
and
ecological
protection.
However,
mangroves
typically
grow
in
coastal
near-shore
with
complex
water
colors,
where
traditional
algorithms
face
challenges
such
unclear
region
segmentation
insufficient
accuracy.
To
address
this
issue,
paper
we
propose
new
algorithm
identification
based
on
Orthogonal
Matching
Filter-Weighted
Least
Squares
(OMF-WLS)
target
spectral
information.
This
method
first
selects
GF-6
remote
sensing
images
less
cloud
cover,
then
enhances
feature
information
through
preprocessing
band
extension,
combining
whitened
orthogonal
subspace
projection
the
matching
filter
algorithm.
Notably,
innovatively
introduces
Weighted
(WLS)
filtering
technology.
WLS
precisely
processes
high-frequency
noise
edge
details
using
an
adaptive
weighting
matrix,
significantly
improving
clarity
overall
quality
images.
innovative
approach
overcomes
bottleneck
methods
effectively
extracting
against
color
backgrounds.
Finally,
Otsu's
used
threshold
to
achieve
areas.
Our
experimental
results
show
that
OMF-WLS
improves
accuracy
compared
methods,
precision
increasing
from
0.95702
0.99366
Kappa
coefficient
rising
0.88436
0.98233.
In
addition,
our
proposed
provides
significant
improvements
other
metrics,
demonstrating
better
performance.
These
findings
can
provide
more
reliable
technical
support
monitoring
protection
resources.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 132 - 132
Published: Jan. 10, 2025
Urban
greenspaces
(UGSs)
are
pivotal
for
ecological
enhancement
and
the
well-being
of
urban
residents.
The
accurate
quantification
greenspace
exposure
(GE)
its
distributional
equality
is
essential
equitable
planning
mitigating
inequalities
in
access.
This
study
introduces
a
novel
population-EVI-weighted
model
that
integrates
Enhanced
Vegetation
Index
(EVI),
land
cover,
demographic
data
to
evaluate
GE
across
various
spatial
scales
buffer
distances
(300
m,
500
1
km).
provides
more
nuanced
representation
realistic
UGSs
utilization
by
residents
than
traditional
metrics
coverage
or
simple
population-weighted
exposure.
Our
comprehensive
analysis
reveals
refining
scale
improves
understanding
GE’s
variation
equality.
Furthermore,
increasing
distance
substantially
enhances
20
cities
over
93%
counties
within
Agglomeration
on
West
Side
Straits
(WSS).
Notably,
county
level
shows
superior
performance
greater
sensitivity
adjustments
compared
city
WSS.
These
findings
underscore
importance
achieve
equal
access
greenspaces.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 22, 2025
The
role
of
Internet
Popularity
(INPY)
in
shaping
public
perception
urban
parks
is
increasingly
significant.
Although
existing
studies
have
explored
the
impact
on
perception,
they
primarily
focus
traditional
environmental
indicators
(such
as
NDVI
and
GVI),
overlooking
potential
influence
INPY
generated
social
media
emotions.
This
study
aims
to
fill
this
gap
by
analyzing
41,675
data
from
Luoyang,
China,
quantifying
emotional
perception(ETPN),
using
Multi-task
Hierarchical
Linear
regression
models
explore
relationship
between
INPY,
parks.
results
show:
(1)
has
varying
degrees
positive
Emotional
Gradients
(ETGD)
negative
positive,
with
intensity
increasing
low
high;
(2)
A
200-meter
GVI
negatively
correlated
emotions,
whereas
500-meter
1000-meter
scales
positively
affect
emotions;
(3)
Seasons
expression,
particularly
highlights
that
mainly
impacts
while
help
mitigate
emotions
enhance
overall
ETPN.
These
provide
planners
a
new
perspective
understanding
value
offer
scientific
support
for
space
optimization
policy-making.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(7), P. 1166 - 1166
Published: April 2, 2025
This
study
investigates
the
changes
in
urban
green
space
coverage
across
254
counties
of
varying
types
Texas
from
2001
to
2021,
aiming
explore
spatial
patterns
transformation
and
its
socioeconomic
driving
factors.
By
analyzing
Landsat
remote
sensing
data
building
type
datasets,
combined
with
land
use
transition
matrices,
GIS
statistics
tools,
regression
analysis
population
GDP
data,
this
comprehensively
examines
change
different
types.
The
results
indicated
significant
differences
cities:
(1)
Urban
areas
higher
populations
rankings,
as
well
their
surrounding
regions,
show
a
more
pronounced
trend
converting
into
built-up
areas,
particularly
expansion
medium
low-density
areas.
(2)
In
contrast,
smaller
cities
rural
occur
at
slower
pace.
Further
reveals
that
spaces
is
primarily
driven
by
residential
development,
about
39%
high-density
over
65%
being
replaced
land.
(3)
indicate
growth
are
main
factors
for
changes,
explaining
up
86%
84%
respectively.
These
findings
provide
important
theoretical
support
practical
guidelines
conservation,
planning,
sustainable
development
policies.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 495 - 495
Published: Feb. 27, 2025
Urban
green
spaces,
vital
public
infrastructure,
have
received
limited
research
on
how
their
morphology
affects
visual
perception
preferences.
Using
data
from
ten
parks,
we
generated
space
maps
high-resolution
satellite
imagery
and
calculated
indicators,
such
as
quantity,
fragmentation,
connectivity,
shape
complexity.
By
combining
the
Mask2Former
image
segmentation
deep
learning
model
with
a
multi-objective
regression
structural
equation
modeling,
analyzed
relationship
between
preferences,
controlling
for
geographic
demographic
factors.
The
results
showed
that
spaces
tighter
aggregation,
continuity,
complexity
led
to
more
distinct
perceptions.
This
was
mediated
by
proportion
of
landscape
elements.
distribution,
shape,
connectivity
urban
had
an
independent
impact
individual
perception,
far
exceeding
influence
quantity
alone.
spatial
should
be
incorporated
into
health-oriented
design,
exploring
global
interest
in
human
well-being,
providing
valuable
insights
planning
health-driven
design.
Enhancing
quality
of
life
in
contemporary
cities
hinges
on
convenient
access
to
parks
and
forests,
offering
avenues
for
physical
activity
social
engagement,
as
well
benefits
mental
health
opportunities
educational
pursuits.
This
comprehensive
study
delves
into
the
accessibility
forests
across
33
major
European
cities,
employing
an
interdisciplinary
framework
drawing
from
transportation
urban
planning
methodologies.
By
analyzing
green
spaces
(UGS)
through
sustainable
modes
transportation,
research
aims
at
unveiling
patterns
shaped
by
population
density,
terrain
elevation,
city
area
infrastructure.
Notably,
disparities
emerge
both
within
between
with
parks,
typically
nestled
centers,
exhibiting
more
equitable
compared
often
situated
outskirts.
Further
results
show
that
UGS,
road
network
public
transit
availability,
elevation
gradients
influence
different
strengths
configurations,
complexity
space
distribution
landscapes.
Across
modes,
are
most
pronounced
pedestrians,
accentuating
need
targeted
interventions
bridge
gaps.
The
also
emphasizes
significance
discerning
qualitative
distinctions
among
diverse
spaces,
advocating
tailored
strategies
UGS
planning.
Acknowledging
pivotal
role
augmenting
accessibility,
particularly
densely
populated
areas
short-distance
journeys,
paper
underscores
urgency
fair
provision.
Finally,
this
furnishes
insights
policymakers
planners
committed
fostering
inclusive,
healthy
environments.
