Assessing Spatial Correlations Between Land Cover Types and Land Surface Temperature Trends Using Vegetation Index Techniques in Google Earth Engine: A Case Study of Thessaloniki, Greece
Remote Sensing,
Год журнала:
2025,
Номер
17(3), С. 403 - 403
Опубликована: Янв. 24, 2025
The
Urban
Heat
Island
(UHI)
phenomenon,
combined
with
reduced
vegetation
and
heat
generated
by
human
activities,
presents
a
major
environmental
challenge
for
many
European
urban
areas.
UHI
effect
is
especially
concerning
in
hot
temperate
climates,
like
the
Mediterranean
region,
during
summer
months
as
it
intensifies
discomfort
raises
risk
of
heat-related
health
issues.
As
result,
assessing
dynamics
steering
sustainable
land
management
practices
becoming
increasingly
crucial.
Analyzing
relationship
between
cover
Land
Surface
Temperature
(LST)
can
significantly
contribute
to
achieving
this
objective.
This
study
evaluates
spatial
correlations
various
types
LST
trends
Thessaloniki,
Greece,
using
data
from
Coordination
Information
on
Environment
(CORINE)
program
advanced
index
techniques
within
Google
Earth
Engine
(GEE).
Our
analysis
revealed
that
there
has
been
gradual
increase
average
surface
temperature
over
past
five
years,
more
pronounced
observed
last
two
years
(2022
2023)
mean
annual
values
reaching
26.07
°C
27.09
°C,
respectively.
By
employing
indices
such
Normalized
Difference
Vegetation
Index
(NDVI)
performing
correlation
analysis,
we
further
analyzed
influence
diverse
landscapes
distribution
across
different
use
categories
area,
contributing
deeper
understanding
effects.
Язык: Английский
Evaluating the contribution of green spaces to thermal microclimate improvement in a hot and dry context: the case of Biskra University Campus
South Florida Journal of Development,
Год журнала:
2024,
Номер
5(12), С. e4841 - e4841
Опубликована: Дек. 26, 2024
This
study
investigates
the
impact
of
green
spaces
on
enhancing
thermal
microclimate
Biskra
University
campus,
located
in
a
hot
and
arid
urban
environment
southeastern
Algeria.
Through
an
experimental
approach,
air
temperature,
relative
humidity,
airspeed
were
measured
at
five
distinct
points,
each
representing
varying
vegetation
characteristics.
The
results
reveal
that
significantly
reduces
ambient
temperatures,
with
differences
up
to
2.6°C
observed
between
measurement
sites.
Key
findings
indicate
cooling
efficiency
is
influenced
by
several
factors,
including
type
density
vegetation,
time
day,
exposure
solar
radiation,
nature
surrounding
surfaces.
Among
types,
trees
demonstrated
greater
effectiveness
than
grass,
particularly
when
densely
planted.
concludes
strategic
placement,
combined
additional
shading
structures
such
as
pergolas
well-planned
spatial
orientation,
can
improve
microclimatic
conditions
environments.
These
underscore
potential
integrating
into
planning
mitigate
heat
enhance
comfort
challenging
climates.
Язык: Английский