Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(18), P. 4492 - 4492
Published: Sept. 8, 2022
Climate
change
affects
the
urban
population’s
health
and
quality
of
life.
Urban
green
spaces
(UGS)
underpin
several
essential
ecosystem
services,
amongst
them
climate
regulation.
vegetation
mitigates
high
temperatures
and,
thus,
reduces
heat
stress
for
residents.
The
study
aimed
to
verify
whether
Surface
Heat
Island
(SUHI)
effect
manifests
itself
even
in
a
medium
size
town
(Zvolen,
Slovakia)
surrounded
by
agricultural
forested
landscape
quantify
temperature
mitigating
spaces.
Land
surface
(LST)
SUHI
distribution
were
derived
from
Landsat
data
during
summer
months
2010–2021.
To
statistically
prove
cooling
vegetation,
we
tested
(by
one-way
ANOVA)
LST
within
three
zones
Zvolen
municipality
defined
Copernicus
imperviousness
density
data:
(a)
dense
area
(31–100%
impervious
surfaces),
(b)
discontinuous
(1–30%
(c)
(0%
open
land
surrounding
surfaces).
results
showed
statistical
difference
between
all
areas
(all
zones)
land.
Moreover,
UGS
was
different
compared
other
zones.
mean
through
years
2010–2021
3.5
°C,
with
maximum
4.9
°C
minimum
1.7
favor
varied
studied
period.
warmer
weather,
higher
difference,
while
at
end
August,
on
notably
colder
day,
there
no
significant
them.
confirmed
that
are
significantly
cooler
hot
days,
they
can
mitigate
local
climate.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(4), P. 3705 - 3705
Published: Feb. 17, 2023
The
urban
climate
is
receiving
increased
attention
mainly
due
to
change.
There
are
several
ways
mitigate
the
climate,
but
green
spaces
have
an
advantage
over
other
cooling
systems
because,
in
addition
their
function,
they
provide
ecosystem
services
that
enhance
sustainability
of
systems.
effect
varies
depending
on
species
composition,
structure
vegetation,
size
and
shape
or
specific
characteristics
plants.
Therefore,
exact
quantification
space’s
critical
importance
order
be
effectively
applied
planning
as
a
measure
change
adaptation.
In
this
paper,
we
quantified
difference
between
vegetation
(grass
versus
trees)
size,
assessed
what
distance
from
space
its
can
observed.
Urban
were
identified
using
Landsat
orthophotomosaic
airborne
laser
scanning.
temperature
was
calculated
land
surface
(LST)
data
single-channel
method.
To
quantify
differences
magnitude
edge
which
occurs,
used
one-way
analysis
variance
regression
analyses.
Our
results
show
intensity,
well
distance,
dependent
space.
most
significant
provided
by
large
tree
spaces,
where
intensity
(difference
LST
compared
area
without
vegetation)
almost
4.5
°C
average
(maximum
6
°C)
up
90
m
(less
significantly
180
m).
Large
grass
medium
similar
effects,
with
higher
(2.9
2.5
average)
however,
extends
greater
(up
m)
for
only
30–60
m.
Small
areas
trees
small
below
2
°C.
Land,
Journal Year:
2023,
Volume and Issue:
12(2), P. 451 - 451
Published: Feb. 10, 2023
Urban
parks
have
significant
cooling
effects,
which
can
both
mitigate
the
urban
heat
is-land
effect
and
are
crucial
to
sustainable
development
of
human
habitat.
Although
studies
been
conducted
explore
influence
park
morphology
on
parks,
they
not
sufficiently
in
depth.
Therefore,
this
paper
took
117
central
city
Chengdu
as
research
objects
based
perspective
quantitative
classification
morphology.
Then,
remote
sensing
interpretation,
spatial
statistics,
regression
analysis
were
used,
four
indicators
intensity,
distance,
area,
efficiency
integrated
different
morphological
types
parks.
The
results
show
that
(1)
could
be
divided
into
five
categories,
among
round
was
best,
0.7.
(2)
In
terms
parks’
area
perimeter
thresholds
30
ha
4000
m,
respectively.
(3)
When
reached
70
3000
respectively,
increase
distance
slowed
down.
(4)
best
when
shape
index
(indicating
complexity
boundaries)
2.8.
study
provide
theoretical
support
for
intensive
use
green
space
help
construction
promotion
a
beautiful
livable
Chengdu.
The Science of The Total Environment,
Journal Year:
2023,
Volume and Issue:
897, P. 165228 - 165228
Published: July 5, 2023
Urban
green
spaces
(UGS)
and
peri-urban
(P-UGS)
play
a
crucial
role
in
reducing
the
land
surface
temperature
within
urban
environment,
especially
during
heat
waves.
Although
their
cooling
effect
generally
is
due
to
shading
evaporation,
of
soil
texture
water
availability
on
remains
largely
unexplored.
This
study
investigated
impact
spatio-temporal
patterns
LST
different
UGSs
P-UGSs
Hamburg
(Germany)
hot
summer
drought
period.
The
Normalized
Differentiated
Moisture
Vegetation
Indices
(NDMI,
NDVI)
were
calculated
based
two
Landsat
8
OLI/TIRS
images
from
July
2013.
Non-spatial
spatial
statistical
approaches
such
as
stepwise
backward
regression
or
Hotspot
(Getis-Ord
Gi*)
analyses
applied
explaining
distributions
relation
each
UGS
P-UGS.
All
GSs
clearly
characterized
islands
whereas,
for
GS,
an
individual
thermal
footprint
was
observed.
Within
all
GSs,
showed
significant
negative
relationship
NDMI
values,
whereas
NDVI
values
elevation
minor
importance.
Soil
found
influence
distribution
significantly
most
P-UGSs,
where
sites
clay-rich
soils
highest
compared
sand-
silt-rich
soils.
For
example,
parks,
clayey
mean
25.3
°C
sand-dominated
had
only
23.1
°C.
consistent
throughout
approaches,
both
dates
across
GSs.
unexpected
result
explained
by
very
low
unsaturated
hydraulic
conductivity
which
limits
plant
uptake
transpiration
rates
responsible
evaporative
effect.
We
concluded
that
has
be
considered
understanding
managing
capacity
P-UGSs.
Frontiers in Earth Science,
Journal Year:
2023,
Volume and Issue:
11
Published: Feb. 28, 2023
Urban
parks
include
water
bodies,
non-hardened
ground,
and
a
variety
of
vegetation,
whose
shading
evaporation
effects
form
“park
cold
island.”
A
park
effectively
cools
the
surrounding
environment
through
heat
exchange.
This
phenomenon
is
called
spillover
cooling
effect
(PCS)
plays
an
important
role
in
regulating
microclimate
cities.
Although
PCS
was
extensively
documented
previous
studies,
landscape
features
on
still
need
to
be
further
explored,
especially
China
with
rapid
urban
expansion.
The
severe
scarcity
land
resources
heightens
necessity
clarify
relationship
between
patch
size
efficiency.
Therefore,
this
study,
we
chose
Zhengzhou
city
(the
capital
Henan
province,
central
region
China)
as
example,
which
has
experienced
expansion
population
high
spatiotemporal
aggregation
heatwaves–drought–rainstorms.
We
used
Landsat
8
imagery
score
data
summer
2019
retrieve
characteristics
surface
temperature
(LST),
then
extracted
36
identified
distance
(PCS
D
),
strength
S
rate
R
11
indexes.
calculated
area
threshold
when
achieves
highest
efficiency,
each
also
were
quantified.
results
showed
that
average
LST
2.3°C
lower
than
entire
study
area;
4.61°C
at
maximum;
31
370
m,
value
179
m;
0.957°C/100
m.
For
indexes,
found
(AREA),
green
space
(AREA
g
perimeter
(PERIM)
contributed
most
PCS.
Shape
impervious
(LSI
i
)
percentage
body
(P
w
significantly
ratio
(PARA),
edge
density
(ED),
(ED
(PD)
negatively
correlated
PCS,
result
6–8
ha
internal
not
less
5–6
effect.
can
expand
our
scientific
understanding
influences
provide
basis
for
formulating
reasonable
effective
spatial
layout
planning
cope
island