Geocarto International,
Journal Year:
2023,
Volume and Issue:
38(1)
Published: Dec. 8, 2023
Land
Use/Land
Cover
(LULC)
maps
deliver
essential
information
on
landscape
structure
and
functions,
but
such
are
usually
considered
static,
more
progress
is
needed
towards
dynamic
LULC
products.
The
Dynamic
Habitat
Index
(DHI),
for
example,
has
revealed
high
potential
in
biodiversity
studies,
its
capability
to
capture
the
variability
of
different
types
under
differing
environmental
conditions,
which
turn
affect
biodiversity,
underexplored.
In
this
study,
we
used
NDVI
products
Copernicus
Global
Service
test
if
DHIs
sensitive
changing
conditions
across
over
a
4-year
period
(2017–2020)
central
European
Germany.
We
found
that
(1)
all
had
distinct
DHI
characteristics,
(2)
components
responded
an
extreme
drought
year
2018
with
no
return
pre-drought
except
deciduous
forests,
captured
spatio-temporal
pedo-climatic
conditions.
Thus,
Integrated
ancillary
geodata
it
could
add
continuous
quantitative
component
common
categorical
broad
application
ecosystem
research.
Such
integrated
serve
as
valuable
tools
decision
makers
formulate
sustainable
land
management
strategies
contribute
Sustainable
Develop
Goal
(SDG)
indicators
related
degradation,
e.g.
by
identifying
deviations
from
typical
profiles
given
context
response
disturbance
stress.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1857 - 1857
Published: March 30, 2023
Satellite-derived
Land
Surface
Temperature
(LST)
dynamics
have
been
increasingly
used
to
study
various
geophysical
processes.
This
review
provides
an
extensive
overview
of
the
applications
LST
in
context
global
change.
By
filtering
a
selection
relevant
keywords,
total
164
articles
from
14
international
journals
published
during
last
two
decades
were
analyzed
based
on
location,
research
topic,
applied
sensor,
spatio-temporal
resolution
and
scale
employed
analysis
methods.
It
was
revealed
that
China
USA
most
studied
countries
those
had
first
author
affiliations.
The
prominent
topic
Urban
Heat
Island
(SUHI),
while
topics
related
climate
change
underrepresented.
MODIS
by
far
sensor
system,
followed
Landsat.
A
relatively
small
number
studies
or
continental
scale.
use
highly
determined
periods:
majority
started
around
year
2000
thus
period
shorter
than
25
years.
following
suggestions
made
increase
utilization
time
series
research:
prolongation
by,
e.g.,
using
AVHRR
LST,
better
representation
under
clouds,
comparison
traditional
measures,
such
as
air
temperature
reanalysis
variables,
extension
validation
heterogenous
sites.
Urban Climate,
Journal Year:
2023,
Volume and Issue:
49, P. 101455 - 101455
Published: Feb. 22, 2023
Understanding
the
seasonal
variations
in
surface
urban
heat
island
(SUHI)
different
local
climate
zones
(LCZs)
is
crucial
to
efforts
reduce
impacts
of
warming
on
residents.
However,
such
an
understanding
constrained
by
lack
land
temperatures
(LSTs)
at
both
high
spatial
and
temporal
resolutions.
This
study
created
time
series
LSTs
fusing
Landsat
8
satellite
data
gap-filled
MODIS
products
further
analyses
SUHI
seasonality
a
semi-arid
city,
Xi'an,
China.
The
results
showed
that
open
building
types
were
generally
lower
than
those
compact
types.
highest
intensity
(7.17
°C)
was
found
'compact
mid-rise
buildings'
(LCZ2),
whereas
lowest
(3.62
'open
high-rise
(LCZ4)
July.
peaked
about
17–23
days
later
background
LST.
annual
hysteresis
cycles
exhibited
anti-clockwise
concave-up
pattern
monsoon-influenced
hot-summer
humid
continental
(Dwa
per
Köppen-Geiger
scheme).
autumn
higher
spring
under
same
These
provide
valuable
information
for
developing
mitigation
strategies
seasons.
Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
94, P. 104568 - 104568
Published: April 2, 2023
Nowadays,
in
the
field
of
urban
climate
there
is
a
scientific
need
to
compare
Land
Surface
Temperature
(LST)
with
screen-level
air
temperature
(2mTair).
This
done
our
study
for
Iași
city,
based
on
MODIS
imagery
and
situ
observations.
We
assess
firstly
Urban
Heat
Island
(SUHI)
under
clear-sky
conditions,
outlining
that
SUHI
well
expressed
during
year,
while
its
geometry
tends
be
more
compact
regular
nighttime.
In
summer
daytime
extension
reaches
peak,
being
outlined
by
35°C
isotherm,
winter
absent
day.
LST
increases
clearly
when
imperviousness
ratio
(IMD)
overpasses
10%
threshold,
maximum
reached
IMD
higher
than
80%.
The
comparison
observations
indicates
–
2mTair
differences
are
highest
spring
(+
5
+7°C),
no
major
observed.
For
nighttime
generally
1
3°C
lower
2mTair.
also
found
intense
radiative
conditions
prone
increase
both
intensity,
difference
between
results
meant
support
policies
aiming
mitigate
heat
island
effects
human
population.
Landscape and Urban Planning,
Journal Year:
2023,
Volume and Issue:
235, P. 104760 - 104760
Published: March 28, 2023
Plant
phenology
plays
a
crucial
role
in
terrestrial
ecosystems
and
is
key
indicator
of
ecological
changes.
It
influenced
by
alterations
meteorological
conditions
at
micro-
mesoscale
cities
as
result
urbanisation
the
intensification
anthropogenic
activities.
One
example
urban
heat
island
(UHI),
i.e.
increase
temperature
city
cores
compared
to
their
surroundings.
In
this
study,
we
used
plant
phenological
data
from
High-Resolution
Vegetation
Phenology
Productivity
dataset
Copernicus
Land
Monitoring
Service
explore
relationship
between
intensity
(i.e.,
proportion
built-up
area)
productivity
broadleaf
deciduous
evergreen
coniferous
trees
Madrid
its
surroundings,
one
largest
metropolitan
areas
Europe.
We
found
average
start
season
date
advanced
0.79–11.79
days
highly
urbanised
areas,
was
delayed
5.77–9.16
trees.
Although
differences
were
also
observed
for
end
length
growing
season,
these
patterns
showed
great
interannual
variability.
Both
most
productive
areas.
previous
studies
have
explored
response
different
land-cover
types
urbanisation,
our
knowledge,
none
looked
fine
spatial
scale
Mediterranean
with
vegetation
functional
groups.
The
analysis
more
specific
classes
enables
better
understanding
intensity.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(20), P. 3765 - 3765
Published: Oct. 10, 2024
Remote
sensing
satellite
data
have
been
a
crucial
tool
in
understanding
urban
climates.
The
variety
of
sensors
with
different
spatiotemporal
characteristics
and
retrieval
methodologies
gave
rise
to
multitude
approaches
when
analyzing
the
surface
heat
island
effect
(SUHI).
Although
there
are
considerable
advantages
that
arise
from
these
(spatiotemporal
resolution,
time
observation,
etc.),
it
also
means
is
need
for
ability
capturing
spatial
temporal
SUHI
patterns.
For
this,
several
land
temperature
products
compared
cities
Madrid
Paris,
retrieved
five
sensors:
Spinning
Enhanced
Visible
InfraRed
Imager
onboard
Meteosat
Second
Generation,
Advanced
Very-High-Resolution
Radiometer
Metop,
Moderate-resolution
Imaging
Spectroradiometer
both
Aqua
Terra,
Thermal
Infrared
Sensor
Landsat
8
9.
These
span
wide
range
LST
algorithms,
including
split-window,
single-channel,
temperature–emissivity
separation
methods.
Results
show
diurnal
amplitude
may
not
be
well
represented
considering
daytime
nighttime
polar
orbiting
platforms.
Also,
significant
differences
intensity
variability
due
methods
implemented
retrieval.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(2)
Published: Jan. 15, 2025
Abstract
Green
infrastructure‐based
heat
mitigation
strategies
can
help
alleviate
the
overheating
burden
on
urban
residents.
While
cooling
effect
of
parks
has
been
explored
in
individual
satellite‐based
studies,
a
global,
multi‐year
investigation
lacking.
This
study
provides
comprehensive
global
assessment
daytime
surface
park
cool
island
(
SPCI
)
climatology,
using
land
temperatures
from
2,083
systematically
selected
worldwide
(2013–2022).
Through
detailed
selection
and
data
stratification,
key
drivers
influencing
observed
intensity
are
isolated.
The
analysis
reveals
that
is
strongly
linked
to
type,
with
well‐treed
being,
average,
3.4°C,
cooler
than
surrounding
area
during
summer.
It
further
investigated
how
influenced
by
seasonal
variations,
droughts,
morphology
across
diverse
background
climates.
These
findings,
along
developed
set,
offer
critical
insights
for
designing
climate‐resilient
green
spaces.