Geocarto International,
Journal Year:
2022,
Volume and Issue:
38(1), P. 1 - 22
Published: Sept. 2, 2022
Nighttime
Light
(NTL)
data
provides
a
measure
of
socio-economic
development
and
is
publicly
available
on
the
Google
Earth
Engine
(GEE)
cloud-based
platform.
The
use
GEE
to
analyze
NTL
has
expanded,
but
trends
remain
unknown.
In
response,
we
provide
systematic
overview
GEE-based
studies
from
its
inception.
We
searched
Scholar
database,
which
returned
359
articles,
73
were
eligible.
Results
indicated
NTL-GEE
research
evolved
into
urbanization,
environmental,
areas
worldwide.
Studies
grew
steadily
since
2014
peaked
in
2021.
VIIRS-DNB
widely
used
product
due
superior
properties
DMSP-OLS
that
followed,
Luojia01-1
increasing,
although
not
currently
GEE.
Almost
two-thirds
products
was
as
primary
dataset
remaining
auxiliary;
along
with
daytime
sensors.
Overall,
been
success
supported
by
many
governments
institutions.
Remote Sensing Applications Society and Environment,
Journal Year:
2022,
Volume and Issue:
29, P. 100907 - 100907
Published: Dec. 18, 2022
Google
Earth
Engine
(GEE)
is
a
geospatial
processing
platform
based
on
geo-information
applications
in
the
'cloud'.
This
provides
free
access
to
huge
volumes
of
satellite
data
for
computing,
and
offers
support
tools
monitor
analyse
environmental
features
large
scale.
Such
facilities
have
been
widely
used
numerous
studies
about
land
management
planning.
Considering
current
lack
relevant
overviews,
it
may
be
useful
evaluate
utilization
paths
GEE
its
impact
scientific
community.
For
this
purpose,
systematic
review
has
conducted
using
PRISMA
methodology
343
articles
published
from
2020
2022
high-impact
journals,
selected
Scopus
Scholar
databases.
After
an
overview
publishing
context,
analysis
frequency
features,
methods,
are
carried
out,
special
attention
given
COVID-19
studies.
Finally,
geographical
distribution
reviewed
evaluated,
citation
metrics
analysed.
On
bibliometric
approach,
90
journals
reference
period
(January
April
2022),
number
reveals
multidisciplinary
application
as
well
interest
publishers
towards
topic
relevance
international
The
results
meta-analysis
following
showed
that:
(i)
Landsat
8
was
most
widely-used
(25%);
non-parametric
classification
mainly
Random
Forest,
were
recurrent
algorithms
(31%);
(iii)
water
resources
assessment
prediction
common
methodological
(22%).
A
low
COVID-19,
spite
planetary
importance
pandemic
effects.
geographically
distributed
among
86
countries,
China,
United
States,
India
accounting
number.
'Remote
Sensing'
Sensing
Environment'
leading
metrics,
while
Forest
method
agriculture-related
being
mostly
cited.
It
expected
that
these
might
change
over
mid
long
term,
due
fast
progress
spatial
information
technologies,
although
currently
our
findings
worthwhile
assessing
global
deployment
platform.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
145, P. 109646 - 109646
Published: Nov. 9, 2022
Exploring
the
effects
of
landscape
pattern
changes
on
ecosystem
services
(ESs)
and
its
interactions
could
provide
a
new
method
to
reduce
trade-offs
between
ESs
from
perspective
optimization,
thus
contributing
sustainable
management
ESs.
In
this
study,
Guiyang
City
which
is
typical
karst
mountainous
city
in
China
was
used
as
study
region,
using
InVEST
model,
Spearman's
correlation
Multiscale
Geographically
Weighted
Regression
(MGWR)
assessed
four
key
types
(i.e.,
carbon
storage
(CS),
habitat
quality
(HQ),
soil
conservation
(SC),
water
yield
(WY))
1995
2019,
analyzed
impacts
synergies
The
results
showed
that
steadily
increased
during
1995–2019,
with
CS,
HQ,
SC,
WY,
total
(TES)
by
6.67%,
7.66%,
27.16%,
13.08%,
11.81%,
respectively.
relationship
CS-SC
SC-WY
were
mainly
trade-offs,
while
other
synergies.
Moreover,
interaction
static
reversed
dynamic
spatiotemporal
when
lower
have
obvious
spatial
scale
heterogeneity.
Landscape
composition
had
greater
impact
than
configuration.
Proportion
woodland
(Wood_per)
Shannon's
Diversity
Index
(SHDI)
main
factors
influencing
effect
TES.
practical
references
for
improvement-oriented
planning
service
similar
fragile
ecological
regions,
helpful
improvement
high-quality
development.
Transportation Engineering,
Journal Year:
2023,
Volume and Issue:
12, P. 100168 - 100168
Published: March 5, 2023
The
Utilization
of
Unmanned
Aerial
Vehicle
(UAV)
as
a
vehicle
for
comprehensive
and
fast
road
condition
data
acquisition
is
expected
to
minimize
or
even
replace
conventional
surveys
in
the
field.
In
addition,
final
UAV
product
form
2D/3D
model
conditions
has
been
proven
be
used
medium
interpreting
damage
measuring
dimensions
without
having
do
it
significant
difference
between
this
study
other
studies
found
use
Surface
Distress
Index
Pavement
Condition
methods
assessing
on
results.
No
research
compares
two
models.
This
took
photos
pavement
using
drones
produce
2D
3D
models
visual
media
methods.
results
assessment
compared
with
comparison,
dimension
level
accuracy
distress
against
manual
measurements
field,
edge
cracking
lowest
value
75.72%,
joint
reflective
crack
highest
97.86%.
linear
regression
equation
method
field
y
=
0.931x
+
3.6003
coefficient
determination
r2
0.86
an
MSE
121.333,
while
0.5831x
28.867
that
0.653
2115.
Based
comparison
above,
study,
application
more
precise
method.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(6), P. 1791 - 1791
Published: March 13, 2025
In
light
of
global
climate
change
and
accelerated
urbanization,
preserving
restoring
island
ecosystems
has
become
critically
important.
This
study
focuses
on
Changxing
Island
in
Dalian,
China,
evaluating
the
quality
its
ecological
environment.
The
research
aims
to
quantify
changes
since
2000,
with
an
emphasis
land
use
transformations,
coastline
evolution,
driving
factors
behind
these
changes.
Using
Google
Earth
Engine
(GEE)
platform
remote
sensing
technology,
index
(IRSEI)
was
developed.
development
IRSEI
grounded
several
key
parameters,
including
normalized
difference
vegetation
(NDVI),
wetness
(WET),
surface
temperature
(LST),
multiband
drought
stress
(M-NDBSI),
intensity
(LUI).
results
show
that,
2002,
types
have
undergone
significant
changes,
a
notable
decrease
arable
increase
built-up
areas,
reflecting
ongoing
urbanization
process.
With
respect
total
length
steadily
increased
from
2002
2022,
average
annual
growth
rate
2.15
km.
driven
mainly
by
reclamation
infrastructure
construction.
analysis
further
revealed
clear
deterioration
environment
during
period.
proportion
excellent
area
decreased
39.3%
8.89%
whereas
areas
classified
as
poor
very
56.23
km2
129.84
km2,
both
which
set
new
historical
records.
These
findings
suggest
intensify,
ecosystem
is
at
risk
degradation.
optimized
effectively
captured
island,
improved
long-term
stability
index,
adequately
met
requirements
for
large-scale
monitoring.
