Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3206 - 3206
Published: Aug. 30, 2024
The
surface
urban
heat
island
(SUHI)
phenomenon
has
become
increasingly
severe
due
to
the
combined
effects
of
global
warming
and
rapid
expansion,
difference
between
rural
thermal
environments
increased
significantly.
This
trend
profound
impacts
on
social,
economic,
ecological
environments.
Research
related
SUHI
achieved
fruitful
results;
however,
quantitative
research
methods
for
have
not
been
unified
with
standards
systems,
which
will
certainly
affect
comparability
results
research.
Few
studies
compared
multiple
methods.
Therefore,
we
designed
a
study
Yangtze
River
Delta
(YRD)
agglomeration
as
test
case
quantitatively
analyze
differences
in
different
contexts
based
five
It
was
found
that
(1)
there
were
significant
intensity
among
maximum
obtained
by
can
be
up
6
°C.
lowest
observed
during
day
urban–buffer
method,
at
night
urban–water
method.
(2)
Different
affected
distribution
areas
their
evolutionary
characteristics.
NHI
(no
island),
WCI
(weak
cold
WHI
island)
zones
larger,
proportions
exceeding
70%.
expansion
range
zone
daytime
mainly
west
north
YRD
agglomeration,
whereas
concentrated
center
south.
(3)
changes
using
significantly
different.
When
applied
municipal–nonmunicipal
methods,
most
cities
showed
an
upward
trend.
However,
when
other
applied,
exhibited
downward
owing
choice
greater
respect
values
summer
months
smaller
winter
months.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(8), P. 1356 - 1356
Published: April 12, 2024
Geothermal
resources
are
efficient,
clean,
and
renewable
energy
sources.
Using
high-resolution
images
captured
by
remote
sensing
satellites
for
temperature
retrieval
searching
geothermal
anomaly
areas
is
an
efficient
method.
However,
obtaining
land
surface
requires
multiple
steps
of
calculation,
which
can
result
in
a
great
loss
image
information
resolution.
Therefore,
the
super-resolution
reconstruction
LST
currently
challenge
resource
exploration.
Although
current
methods
appropriately
restore
quality,
overall
restoration
region
still
not
ideal.
We
propose
cross-scale
reference
model
based
on
diffusion
using
deep
learning
technology.
First,
we
Pre-Super-Resolution
Network
(PreNet),
improve
both
indices
visual
effect
images.
Second,
to
reduce
white
noise
images,
Cross-Scale
Reference
Image
Attention
Mechanism
(CSRIAM).
The
introduction
this
mechanism
greatly
reduces
improves
quality.
Compared
previous
methods,
improved
experimental
such
as
Peak
Signal-to-Noise
Ratio
(PSNR),
Structural
Similarity
(SSIM),
etc.,
vision
optimized
recovery
anomalies.
Through
our
results,
found
that
CS-Diffusion
has
very
strong
ability
quality
retrieval.
After
restoring
its
make
positive
contribution
subsequent
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 12622 - 12636
Published: Jan. 1, 2024
Achieving
the
sustainable
development
goals
puts
new
demands
on
land
use/land
cover
(LULC)
forecasting
and
thermal
environment
improvement.
Local
climate
zone
(LCZ)
characterization
reduces
LULC
uncertainty
in
research.
This
study
designed
a
future
multiscenario
LCZ
assessment
framework
that
integrates
remote
sensing
images,
patch-level
use
simulation
model,
contribution
algorithm.
An
urban
heat
island
(UHI)
classification
was
used
to
represent
degree
of
hazard.
We
sought
quantitatively
evaluate
spatiotemporal
distribution
its
hazard
explore
coordination
mode
patterns
environment.
considered
four
scenarios:
natural
scenario
(NDS),
(UDS),
food
security
scenario,
ecological
protection
scenario.
The
results
show
Shenyang
metropolitan
area
has
experienced
large-scale
urbanization,
forming
main
UHI
areas
with
Shenyang–Fushun,
Liaoyang–Anshan,
Fuxin
as
core.
is
expected
become
first
for
management
future.
produce
hazards
are
mainly
distributed
D
building-LCZs.
By
2060,
average
UDS
increase
by
1.035
°C
NDS
0.286
compared
2020.
From
perspective
"historical
future,"
provide
theoretical
reference
continuous
improvement
environmental
quality
era,
promoting
coordinated
actively
responding
change.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3206 - 3206
Published: Aug. 30, 2024
The
surface
urban
heat
island
(SUHI)
phenomenon
has
become
increasingly
severe
due
to
the
combined
effects
of
global
warming
and
rapid
expansion,
difference
between
rural
thermal
environments
increased
significantly.
This
trend
profound
impacts
on
social,
economic,
ecological
environments.
Research
related
SUHI
achieved
fruitful
results;
however,
quantitative
research
methods
for
have
not
been
unified
with
standards
systems,
which
will
certainly
affect
comparability
results
research.
Few
studies
compared
multiple
methods.
Therefore,
we
designed
a
study
Yangtze
River
Delta
(YRD)
agglomeration
as
test
case
quantitatively
analyze
differences
in
different
contexts
based
five
It
was
found
that
(1)
there
were
significant
intensity
among
maximum
obtained
by
can
be
up
6
°C.
lowest
observed
during
day
urban–buffer
method,
at
night
urban–water
method.
(2)
Different
affected
distribution
areas
their
evolutionary
characteristics.
NHI
(no
island),
WCI
(weak
cold
WHI
island)
zones
larger,
proportions
exceeding
70%.
expansion
range
zone
daytime
mainly
west
north
YRD
agglomeration,
whereas
concentrated
center
south.
(3)
changes
using
significantly
different.
When
applied
municipal–nonmunicipal
methods,
most
cities
showed
an
upward
trend.
However,
when
other
applied,
exhibited
downward
owing
choice
greater
respect
values
summer
months
smaller
winter
months.
