IEEE Geoscience and Remote Sensing Letters,
Journal Year:
2024,
Volume and Issue:
21, P. 1 - 5
Published: Jan. 1, 2024
Urban
land
surface
temperature
(ULST)
is
one
of
the
core
parameters
in
monitoring
urban
thermal
environment,
which
has
received
extensive
attention
several
study
and
application
areas.
Thermal
infrared
(TIR)
remote
sensing
technology
can
efficiently
observe
large-scale
radiance
information
a
critical
approach
used
to
obtain
ULST
quickly.
Traditional
LST
retrieval
algorithms
are
conducted
using
classical
transfer
equation
(RTE)
based
on
assumption
that
flat,
may
be
challenging
hold
for
complex
landscapes.
Moreover,
with
improvement
spatial
resolution
images,
influence
caused
by
geometric
structure
will
more
obvious.
Various
models
have
been
proposed
successfully
applied
TIR
images
tens
meters
resolutions,
such
as
Landsat,
ECOSTRESS,
Gaofen-5.
Current
airborne
sensors
ultra-high
(sub-meter).
In
this
paper,
ensemble
learning
method
model
(UHURT),
new
algorithm
developed
estimate
directly
from
observed
brightness
temperature.
The
applies
images.
It
end-to-end
advantage
not
relying
atmospheric
or
emissivity,
known
traditional
algorithms,
thus
avoiding
limitations
due
lack
available
input
data.
Validation
results
simulation
dataset
showed
higher
theoretical
accuracy
than
split-window
algorithm.
As
sky
view
factor
(SVF)
decreases,
becomes
pronounced,
growing
0.149
K
(SVF
=
1.0)
1.085
0.25).
image
also
indicated
(RMSE
2.093
K)
accurate
those
SW
2.490
K),
correlation
between
resultant
error
building
density
lower,
accurately
reduce
effect
better.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(1), P. 53 - 53
Published: Jan. 7, 2025
In
recent
climate-adaptive
design
strategies,
there
has
been
a
growing
interest
in
creating
healthy
and
comfortable
urban
microclimates.
However,
not
enough
attention
paid
to
the
influence
of
street
interface
morphology
order
better
understand
wind–thermal
conditions
various
commercial
streets
within
city
create
sustainable
built
environment.
This
research
summarizes
categorizes
according
their
functions
types
attributes
then
abstracts
ideal
models
three
typical
explore
effects
changes
specific
morphological
parameters
on
environments.
Firstly,
this
study
selects
out
that
affect
morphology.
Then,
it
uses
numerical
simulation
software
PHOENICS2019
simulate
investigate
wind
environment
thermal
comfort.
The
results
show
(1)
neighborhood-commercial
streets,
reducing
void
ratio
variance
height
fluctuations
can
enhance
average
speed
while
temperature
improving
comfort;
(2)
business-office
value
is
negatively
correlated
with
comfort,
aspect
are
positively
correlated;
(3)
comprehensive-commercial
decrease
will
reduce
its
increase
temperature,
thus
weakening
comfort
pedestrians.
contrast,
as
well
do
significantly
These
conclusions
from
provide
theoretical
basis
methodological
reference
for
creation
safer,
resilient
Sensors,
Journal Year:
2025,
Volume and Issue:
25(2), P. 508 - 508
Published: Jan. 16, 2025
All-sky
1
km
land
surface
temperature
(LST)
data
are
urgently
needed.
Two
widely
applied
approaches
to
derive
such
LST
merging
thermal
infrared
remote
sensing
(TIR)–passive
microwave
(PMW)
observations
and
TIR
reanalysis
data.
However,
as
only
the
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
is
adopted
source
for
merging,
current
all-sky
products
limited
MODIS
observation
time.
Therefore,
a
gap
still
remains
in
terms
of
with
higher
temporal
resolution
or
at
other
times
(e.g.,
dawn–dusk
time).
Under
this
background,
study
merged
Medium
Spectrum
Imager
(MERSI-LL)
on
board
dusk–dawn-orbit
Fengyun
(FY)-3E
satellite
Global
Land
Data
Assimilation
System
(GLDAS)
estimate
using
random
forest-based
method
(RFRTM).
The
results
showed
that
model
had
good
robustness,
an
STD
0.62–0.86
K
RFRTM
LST,
compared
original
MERSI-LL
LST.
Validation
against
situ
estimated
accuracy
1.34–3.71
under
conditions.
In
addition,
from
Special
Sensor
Microwave
Imager/Sounder
(SSMI/S),
better
performance
image
quality.
This
study’s
findings
beneficial
filling
high
spatiotemporal
resolutions
associated
applications.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(4), P. 377 - 377
Published: March 26, 2025
This
study
assesses
the
accuracy
of
Local
Climate
Zone
(LCZ)
classification
and
its
impact
on
land
surface
temperature
(LST)
analysis
in
Mediterranean
cities
using
high-resolution
ECOSTRESS
data.
Two
methods
were
compared:
a
Geographic
Information
System
(GIS)-based
approach
integrating
geospatial
data
an
LCZ
map
derived
from
WUDAPT.
Discrepancies
influenced
spatial
distribution
urban
forms,
with
WUDAPT
overestimating
6
(open
low-rise)
8
(large
while
underrepresenting
more
compact
types.
LST
revealed
distinct
thermal
responses
between
Milan
Lecce,
underscoring
influence
morphology
local
climate.
Densely
built
zones
(LCZ
2,
5)
exhibited
highest
temperatures,
especially
at
night,
also
retained
significant
heat.
Milan’s
dense
areas
experienced
pronounced
nighttime
overheating,
whereas
Lecce
showed
clear
daytime
gradient,
historic
districts
2)
maintaining
lower
light-colored
high
capacity
building
materials.
A
Kruskal–Wallis
test
confirmed
differences
GIS-based
WUDAPT-derived
maps,
highlighting
methodology
resolution
analysis.
These
findings
emphasize
need
for
multi-scale
approaches
to
climate
adaptation
mitigation,
providing
valuable
advice
planners
policymakers
development
sustainable
climate-resilient
cities.
research
is
among
first
integrate
maps
examine
variations
across
temporal
scales.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(9), P. 1639 - 1639
Published: May 4, 2024
In
this
study,
we
developed
a
XGBoost-based
algorithm
to
downscale
2
km-resolution
land
surface
temperature
(LST)
data
from
the
GOES
satellite
finer
70
m
resolution,
using
ancillary
variables
including
NDVI,
NDBI,
and
DEM.
This
method
demonstrated
superior
performance
over
conventional
TsHARP
technique,
achieving
reduced
RMSE
of
1.90
°C,
compared
2.51
°C
with
TsHARP.
Our
approach
utilizes
geostationary
alongside
high-resolution
ECOSTRESS
data,
enabling
hourly
LST
downscaling
m—a
significant
advancement
previous
methodologies
that
typically
measure
only
once
daily.
Applying
these
examined
hottest
days
in
Chicago
their
correlation
ethnic
inequality.
analysis
indicated
Hispanic/Latino
communities
endure
highest
LSTs,
maximum
is
1.5
higher
blocks
predominantly
inhabited
by
residents
those
occupied
White
residents.
study
highlights
intersection
urban
development,
inequality,
environmental
inequities,
emphasizing
need
for
targeted
planning
mitigate
disparities.
The
enhanced
spatial
temporal
resolution
our
provides
deeper
insights
into
diurnal
variations,
crucial
understanding
addressing
heat
distribution
its
impact
on
vulnerable
communities.
