Application of a novel remote sensing ecological index (RSEI) based on geographically weighted principal component analysis for assessing the land surface ecological quality
Environmental Science and Pollution Research,
Год журнала:
2024,
Номер
31(22), С. 32350 - 32370
Опубликована: Апрель 23, 2024
Язык: Английский
Spatiotemporal analysis of ecological benefits coupling remote sensing ecological index and ecosystem services index
Ecological Indicators,
Год журнала:
2024,
Номер
166, С. 112420 - 112420
Опубликована: Авг. 2, 2024
Язык: Английский
Monitoring and evaluation of ecological restoration in open-pit coal mine using remote sensing data based on a OM-RSEI model
International Journal of Mining Reclamation and Environment,
Год журнала:
2025,
Номер
unknown, С. 1 - 23
Опубликована: Янв. 29, 2025
Язык: Английский
Land Cover Transformations in Mining-Influenced Areas Using PlanetScope Imagery, Spectral Indices, and Machine Learning: A Case Study in the Hinterlands de Pernambuco, Brazil
Land,
Год журнала:
2025,
Номер
14(2), С. 325 - 325
Опубликована: Фев. 6, 2025
The
uncontrolled
expansion
of
mining
activities
has
caused
severe
environmental
impacts
in
semi-arid
regions,
endangering
fragile
ecosystems
and
water
resources.
This
study
aimed
to
propose
a
decision-making
model
identify
land
use
cover
changes
the
region
Pernambuco,
Brazil,
by
through
spatiotemporal
analysis
using
high-resolution
images
from
PlanetScope
satellite
constellation.
methodology
consisted
monitoring
evaluating
k-Nearest
Neighbors
(kNN)
algorithm,
spectral
indices
(Normalized
Difference
Vegetation
Index
(NDVI)
Normalized
Water
(NDWI)),
hydrological
data,
covering
period
2018
2023.
As
result,
3.28%
reduction
vegetated
areas
6.62%
increase
urban
were
identified
over
five
years,
suggesting
landscape
transformation,
possibly
influenced
development
activities.
application
kNN
yielded
an
Overall
Accuracy
(OA)
greater
than
99%
Kappa
index
0.98,
demonstrating
effectiveness
adopted
methodology.
However,
challenges
encountered
distinguishing
between
constructions
bare
soil,
with
Jeffries–Matusita
distance
(JMD)
indicating
value
below
0.34,
while
similarity
vegetation
highlights
need
for
more
comprehensive
training
data.
results
indicated
that
2023,
there
was
marked
degradation
significant
built-up
areas,
especially
near
bodies.
trend
reflects
intense
human
intervention
reinforces
public
policies
at
mitigating
these
impacts,
as
well
promoting
recovery
affected
areas.
approach
proves
potential
remote
sensing
machine
learning
techniques
effectively
monitor
changes,
reinforcing
strategies
sustainable
management
Язык: Английский
Geospatial Monitoring of Environmental Sustainability: A Remote Sensing-Based Approach for Assessing Mining-Induced Impacts in Eastern India
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 104692 - 104692
Опубликована: Март 1, 2025
Язык: Английский
Spatial analysis of soil quality in agricultural land using machine learning and environmental covariates: A case study of Khuzestan Province
Soil and Tillage Research,
Год журнала:
2025,
Номер
252, С. 106591 - 106591
Опубликована: Апрель 23, 2025
Язык: Английский
Spatial-temporal response of the regional ecological quality to urban settlement development
European Journal of Remote Sensing,
Год журнала:
2024,
Номер
57(1)
Опубликована: Авг. 12, 2024
Based
on
the
objective
evaluation
of
regional
ecological
quality
(Urban
Cluster
in
Mid-inner
Zhejiang)
by
Remote
Sensing
based
Ecological
Index
(RSEI),
it
was
proposed
to
study
spatial-temporal
response
urban
built-up
areas,
impervious
surface,
land
use
and
"production-living-ecological"
space
under
settlement
change
quantitatively
describe
mechanism
human
activities'
influence
ecology.
The
results
showed
that:
(1)
From
1985
2020,
RSEI
Urban
Zhejiang
above
0.50
as
a
whole,
showing
trend
first
decreasing
then
increasing
with
slight
decrease
some
parts.
(2)
perspective
dominated
level
2–3,
gradually
changing
from
3
2.
(3)
accounting
for
more
than
75.00%
total
area.
(4)
use,
cropland,
forestland,
water
construction
were
mainly
2–4,
3–4,
3–4
2–3.
(5)
space,
production
living
3,
can
deepen
understanding
impact
development
quality,
avoid
unbalanced
situation
blindly
pursuing
socio-economic
while
ignoring
environment,
which
scientifically
helps
sustainable
high-quality
Zhejiang.
Язык: Английский
Long-term impacts of agricultural greenhouse expansion on albedo, land surface temperature, and vegetation: Evidence from a typical province in China
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
unknown, С. 100575 - 100575
Опубликована: Дек. 1, 2024
Язык: Английский