Transylvanian Review of Systematical and Ecological Research,
Journal Year:
2024,
Volume and Issue:
26(1), P. 27 - 74
Published: April 1, 2024
Abstract
Findings
reveal
that
the
majority
of
studied
areas
are
classified
as
bare
lands,
while
lowest
amount
is
covered
by
lichens
and
mosses.
Grassland
cropland
occupy
major
region,
with
highest
normalized
difference
vegetation
index
(NDVI)
value
saw
in
2020,
showing
dense
western,
northwestern
northern
regions.
Afforestation
efforts
shown
positive
results,
a
4%
increase
forested
area
between
2000
2022.
Geomatics Natural Hazards and Risk,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: March 14, 2024
Natural
hazards
usually
cause
heavy
casualties
and
vast
economic
losses,
as
well
severe
damage
to
the
ecological
environment.
Quantitative
scientific
evaluations
of
environment
quality
(EEQ)
its
recovery
trend
after
can
provide
valuable
insights
for
disaster
risk
reductions.
This
study
takes
2010
Ms7.1
Yushu
earthquake
an
example
explore
spatiotemporal
changes
driving
mechanisms
EEQ
before
using
remote
sensing
GIScience.
First,
Moderate-resolution
Imaging
Spectroradiometer
(MODIS)
data
was
selected
establish
based
index
(RSEI).
Then,
we
analyzed
characteristics
Yushu's
from
2001
2020
explored
spatial
autocorrelation
relationships.
Last,
mechanism
in
GeoDetector
model.
The
main
conclusions
are
follows:
(1)
From
perspective
RSEI
time
series,
County
strongly
negatively
affected
during
recovered
earthquake.
(2)
Based
on
a
distribution
analysis,
it
be
observed
that
regions
with
relatively
high
primarily
concentrated
central
southern
areas.
Conversely,
northwestern
southeastern
areas
display
lower
quality.
Moreover,
has
strong
correlation
clustering,
evidenced
by
Moran's
I
value
exceeding
0.7
over
years.
(3)
results,
elevation
population
were
found
key
factors
affecting
post-disaster
EEQ.
interaction
between
slope
plays
most
critical
role
process
recovery.
provides
theoretical
basis
evolution
helps
decision-makers
better
balance
relationship
social
development
environmental
protection
management
urban
planning.
It
also
useful
reference
guidance
future
under
similar
disasters.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(3), P. 743 - 743
Published: Jan. 27, 2023
Yellow
River
Basin
urban
agglomeration
(YRBU)
is
the
main
carrier
of
regional
socio-economic
development
in
Basin,
and
its
eco-environmental
quality,
urbanization,
coupling
coordination
degree
are
facing
higher
demands.
It
great
significance
for
YRBU
to
understand
interactive
relationship
between
eco-environment
urbanization
from
multi-scale
perspective.
This
research
intended
spatio-temporal
characteristics
study
area
2013
2021.
We
proposed
an
Adjusted
Remote
Sensing
Ecological
Index
(A-RSEI),
integrated
Sentinel-2A,
Landsat
8,
other
remote
sensing
data
evaluate
quality
area,
Coupled
(CCD)
model
was
used
obtain
CCD
urbanization.
In
addition,
analysis
carried
out
perspectives
agglomeration,
municipal,
county,
pixel
scales.
Combined
with
spatial
autocorrelation
Tapio
decoupling
model,
further
explored.
The
results
show
that
A-RSEI
more
suitable
monitoring
Basin.
most
regions
rising
a
relatively
green
trend.
among
can
not
only
indicate
impact
central
city
on
surrounding
areas
but
also
help
describe
details
combined
terrain.
comprehensive
discrimination
county
scale
helpful
express
centered
certain
city.
provide
scientific
support
protection
high-quality
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(24), P. 4778 - 4778
Published: Dec. 21, 2024
The
Loess
Plateau
(LP)
in
China
is
an
ecologically
fragile
region
that
has
long
faced
challenges
such
as
soil
erosion,
water
shortages,
and
land
degradation.
spatial
temporal
variations
ecological
environment
quality
on
the
LP
from
2000
to
2020
were
analyzed
using
Remote
Sensing
Ecological
Index
(RSEI)
Google
Earth
Engine
(GEE)
platform.
Sen,
Mann–Kendall,
Hurst
exponent
analyses
used
examine
variation
trends
over
past
20
years,
while
Geodetector
identified
key
factors
influencing
RSEI
changes
their
interactions.
results
indicate
(1)
effectively
represents
environmental
of
LP,
with
47%
study
area’s
annual
mean
values
20-year
period
classified
moderate,
ranging
0.017
0.815.
(2)
showed
improvement
72%
area,
a
90%
overall
increase,
but
84%
these
are
not
likely
continue.
(3)
Key
during
abrupt
change
years
included
precipitation,
use/land
cover,
sediment
content,
precipitation
topography
emerging
primary
influences
quality.
Although
natural
largely
drive
changes,
human
activities
also
exert
both
positive
negative
effects.
This
underscores
importance
sustainable
management
provides
policy
insights
for
advancing
civilization
contributing
achievement
Sustainable
Development
Goals
(SDGs).
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
16(1), P. 99 - 99
Published: Dec. 26, 2023
Landslides
are
common
natural
disasters
that
cause
serious
damage
to
ecosystems
and
human
societies.
To
effectively
prevent
mitigate
these
disasters,
an
accurate
assessment
of
landslide
hazards
is
necessary.
However,
most
traditional
hazard
methods
rely
on
static
factors
while
ignoring
the
dynamic
changes
in
landslides,
which
may
lead
false-positive
errors
results.
This
paper
presents
a
novel
method
for
Zagunao
River
basin,
China.
In
this
study,
updated
inventory
was
obtained
basin
using
data
from
interferometric
synthetic
aperture
radar
(InSAR)
optical
images.
Based
inventory,
susceptibility
map
developed
random
forest
algorithm.
Finally,
evaluation
matrix
created
by
combining
results
deformation
rates
both
ascending
descending
establish
level
considers
surface
deformation.
The
presented
study
can
reflect
recent
region
produce
assessments
regional
hazards.
It
provides
basis
government
identify
manage
high-risk
areas.
