Buildings,
Journal Year:
2025,
Volume and Issue:
15(8), P. 1256 - 1256
Published: April 10, 2025
Understanding
the
influence
of
urban
morphology
on
Land
Surface
Temperature
(LST)
is
essential
for
planning,
development,
and
mitigating
heat
island
effect.
Leveraging
high-resolution
remote
sensing
data,
this
study
systematically
extracted
64
2D
morphological
parameters
(UMPs)
28
3D
UMPs,
along
with
their
corresponding
summer
winter
LST
at
both
grid
level
(using
a
30
m
×
as
minimum
unit)
block
an
unit).
The
UMPs
were
derived
from
landscape
indices
land
cover,
while
included
building-related
(BUMPs)
tree-related
(TUMPs).
Ultimately,
multiple
statistical
methods
employed
to
investigate
complex
mechanisms
through
which
these
across
winter.
This
showed
following
results:
(1)
Most
significantly
correlated
in
seasons
grid/block
levels,
stronger
correlations
level.
(2)
Stepwise
regression
revealed
that
combining
enhanced
explanation,
achieving
R2
=
70.9%
(summer)
65.7%
(winter)
entire
area,
consistent
results
built-up
zones.
(3)
Relative
importance
analysis
identified
35
influential
features,
ranked
follows:
>
BUMPs
TUMPs.
highlights
UMPs’
dominance
confirming
significance.
These
findings
emphasize
need
integrated
design,
considering
planar
layouts
vertical
configurations
buildings/vegetation.
provides
practical
guidance
thermal
environment
mitigation
sustainable
development
optimized
spatial
planning.
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 663 - 663
Published: March 21, 2025
The
role
of
landscape
configuration
in
urban
heat
island
effects
is
crucial
for
sustainable
planning.
This
study
examines
the
impact
land-use
changes
on
land
surface
temperature
(LST)
Muratpaşa
District
Antalya
from
1984
to
2024.
Data
1984,
1989,
1994,
1999,
2004,
2009,
2014,
2019,
and
2024
were
analyzed
at
five-year
intervals.
Land-use
maps
LST
data
derived
thermal
infrared
bands
Landsat-5
TM
Landsat-8
OLI-TIRS.
values,
categorized
into
seven
groups,
calculated
by
converting
radiance
values
spectral
radiation
Kelvin
temperatures.
classes,
including
green
land,
agricultural
constructive
water
bare
identified
using
interactive
supervised
classification.
Landscape
patterns
ten
indices
within
framework
ecology.
ArcGIS
10.8.1
Fragstats
4.2
software
used
analyses.
Findings
reveal
a
significant
increase
temperatures
over
four
decades,
driven
expansion.
Increased
impervious
surfaces
created
more
high
zones,
while
reduced
spaces
intensified
effect.
A
strong
correlation
between
was
identified,
providing
insights
management
climate
change
adaptation.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(8), P. 1256 - 1256
Published: April 10, 2025
Understanding
the
influence
of
urban
morphology
on
Land
Surface
Temperature
(LST)
is
essential
for
planning,
development,
and
mitigating
heat
island
effect.
Leveraging
high-resolution
remote
sensing
data,
this
study
systematically
extracted
64
2D
morphological
parameters
(UMPs)
28
3D
UMPs,
along
with
their
corresponding
summer
winter
LST
at
both
grid
level
(using
a
30
m
×
as
minimum
unit)
block
an
unit).
The
UMPs
were
derived
from
landscape
indices
land
cover,
while
included
building-related
(BUMPs)
tree-related
(TUMPs).
Ultimately,
multiple
statistical
methods
employed
to
investigate
complex
mechanisms
through
which
these
across
winter.
This
showed
following
results:
(1)
Most
significantly
correlated
in
seasons
grid/block
levels,
stronger
correlations
level.
(2)
Stepwise
regression
revealed
that
combining
enhanced
explanation,
achieving
R2
=
70.9%
(summer)
65.7%
(winter)
entire
area,
consistent
results
built-up
zones.
(3)
Relative
importance
analysis
identified
35
influential
features,
ranked
follows:
>
BUMPs
TUMPs.
highlights
UMPs’
dominance
confirming
significance.
These
findings
emphasize
need
integrated
design,
considering
planar
layouts
vertical
configurations
buildings/vegetation.
provides
practical
guidance
thermal
environment
mitigation
sustainable
development
optimized
spatial
planning.
