International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2023,
Volume and Issue:
121, P. 103380 - 103380
Published: June 7, 2023
Nighttime
light
remote
sensing
provides
a
unique
perspective
on
monitoring
human
activities
and
socioeconomic
conditions.
However,
early
studies
nighttime
lighting
usually
neglected
the
evaluation
of
source
detection
luminance
conditions
in
underdeveloped
areas.
Recent
have
identified
significant
underestimation
effect
areas,
which
makes
it
difficult
to
use
as
valid
proxy
for
other
variables.
To
address
this
problem,
paper
proposes
method
based
reconstruction.
Missing
luminous
pixels
will
be
using
rich
information
provided
by
daily-scale
data
blooming
patterns,
diverse
ancillary
utilized
regression
reconstruction
values
supplement
annual
correct
effect.
The
effectiveness
was
verified
from
7,776
townships
areas
China.
results
demonstrated
that
proposed
corrected
NPP/VIIRS
improved
accuracy
23.23%
17.71%
at
village
township
scales,
respectively.
correlations
between
night
variables
were
also
improved.
Spearman's
rank
correlation
coefficients
population,
GDP,
electricity
consumption
county
scale
increased
0.045,
0.020,
0.018,
agriculture-related
different
degrees
both
scales.
can
contribute
improving
modeling
correcting
This
provide
better
support
sustainable
development
studies.
Sustainable Cities and Society,
Journal Year:
2022,
Volume and Issue:
88, P. 104307 - 104307
Published: Nov. 17, 2022
Increase
in
urban
flood
hazards
has
become
a
major
threat
to
cities,
causing
considerable
losses
of
life
and
the
economy.
To
improve
pre-disaster
strategies
mitigate
potential
losses,
it
is
important
make
susceptibility
assessments
carry
out
spatiotemporal
analyses.
In
this
study,
we
used
standard
deviation
ellipse
(SDE)
analyze
spatial
pattern
floods
find
area
interest
(AOI)
based
upon
related
social
media
data
that
were
collected
Chengdu
city,
China.
We
as
response
variable
selected
10
flood-influencing
factors
independent
variables.
estimated
model
using
Naïve
Bayes
(NB)
method.
The
results
show
events
are
concentrated
northeast-central
part
especially
around
city
center.
Results
checked
by
Receiver
Operating
Characteristic
(ROC)
curve,
showing
under
curve
(AUC)
was
equal
0.8299.
This
validation
result
confirmed
can
predict
with
satisfactory
accuracy.
map
center
provides
realistic
reference
for
monitoring
early
warning.
Tourism Economics,
Journal Year:
2023,
Volume and Issue:
30(6), P. 1359 - 1381
Published: Oct. 12, 2023
The
digital
economy
has
become
an
important
driver
of
resilient
growth
in
tourism
economy.
Taking
China
as
the
research
object,
it
is
found
that
not
only
a
positive
spatial
spillover
effect
on
economic
resilience
but
also
mitigates
negative
impact
COVID-19
pandemic.
heterogeneity
test
shows
diffusion
eastern,
western,
and
southern
regions
siphoning
non-pilot
areas
National
Smart
Tourism
Pilot
Policy.
result
influence
mechanism
proves
can
contribute
to
by
stimulating
fiscal
expenditure,
guiding
industry
cluster,
increasing
consumption.
findings
study
have
policy
implications
for
other
countries
around
world
using
promote
sustainable
development.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111846 - 111846
Published: March 1, 2024
Ecological
welfare
performance
(EWP)
is
an
important
indicator
for
assessing
the
sustainable
development
potential
of
area.
Despite
progress
made
in
understanding
EWP
Yangtze
River
Economic
Belt
(YREB),
there
still
needs
to
be
a
research
gap
studying
its
spatial
variability
depth,
which
more
critical
improving
region
and
promoting
dynamic
management
urban
ecological
This
study
addresses
this
by
focusing
on
YREB.
Our
investigation
not
only
aims
measure
YREB
but
also
delves
into
analyzing
distribution
characteristics
modeling
variability.
Motivated
necessity
comprehend
status
YREB,
our
contributes
resource
informs
decisions
development.
Results
found:
(1)
has
improved
16.81%,
exhibiting
southwest
northeast
with
downstream
gravitational
movement.
(2)
A
gradual
reduction
scope
accompanied
increased
dependence
resulting
structural
variation.
Geographically,
displays
polar
core
banding
distribution,
high-value
areas
converging
upstream
cities
(3)
The
semi-variance
function
fits
model
better,
showing
that
dominated
broaden
focus
characterization
offers
valuable
insights
resources
perspective
enhancement
adds
crucial
dimension
understanding,
providing
practical
lessons
effective
management.
