Global Ecology and Conservation,
Journal Year:
2024,
Volume and Issue:
53, P. e03010 - e03010
Published: May 27, 2024
Ecological
stability
(ES)
is
recognized
as
a
crucial
factor
for
sustainable
development
at
global
and
regional
scales.
However,
the
importance
of
this
was
not
considered
significant.
Hence,
main
aim
study
to
introduce
new
approach
that
focuses
on
detecting
ES
over
Maharloo
watershed
in
Iran.
To
achieve
goal,
we
extracted
land
use
cover
(LULC)
data
from
Google
Earth
Engine
(GEE)
platform
by
applying
random
forest
(RF)
machine
learning
method,
which
obtained
Kappa
statistics
0.85,
0.86,
0.87
years
2002,
2013,
2023,
respectively.
We
identified
both
stable
unstable
regions
based
LULC
changes
employed
them
using
forecast
ES.
The
most
important
predictors
ecological
were
elevation,
soil
organic
carbon
index,
precipitation,
salinity.
results
research
revealed
certain
areas
within
have
experienced
instability
recent
years,
with
gardens
showing
highest
percentage
(60.65%)
among
all
land-use
categories.
performance
validation
our
model
suggest
are
reliable
(AUC
=
0.86).
This
offers
detailed
maps
trends,
offering
valuable
insights
decision
makers
support
landscape
conservation
restoration
efforts.
Overall,
findings
contribute
more
comprehensive
understanding
dynamics
provide
efforts
other
regions.
Coasts,
Journal Year:
2024,
Volume and Issue:
4(1), P. 127 - 149
Published: Feb. 26, 2024
Mapping
coastal
regions
is
important
for
environmental
assessment
and
monitoring
spatio-temporal
changes.
Although
traditional
cartographic
methods
using
a
geographic
information
system
(GIS)
are
applicable
in
image
classification,
machine
learning
(ML)
present
more
advantageous
solutions
pattern-finding
tasks
such
as
the
automated
detection
of
landscape
patches
heterogeneous
landscapes.
This
study
aimed
to
discriminate
patterns
along
eastern
coasts
Mozambique
ML
modules
Geographic
Resources
Analysis
Support
System
(GRASS)
GIS.
The
random
forest
(RF)
algorithm
module
‘r.learn.train’
was
used
map
landscapes
shoreline
Bight
Sofala,
remote
sensing
(RS)
data
at
multiple
temporal
scales.
dataset
included
Landsat
8-9
OLI/TIRS
imagery
collected
dry
period
during
2015,
2018,
2023,
which
enabled
evaluation
dynamics.
supervised
classification
RS
rasters
supported
by
Scikit-Learn
package
Python
embedded
GRASS
Sofala
characterized
diverse
marine
ecosystems
dominated
swamp
wetlands
mangrove
forests
located
mixed
saline–fresh
waters
coast
Mozambique.
paper
demonstrates
advantages
areas.
integration
Earth
Observation
data,
processed
decision
tree
classifier
land
cover
characteristics
recent
changes
ecosystem
Mozambique,
East
Africa.
Cleaner Water,
Journal Year:
2024,
Volume and Issue:
1, P. 100011 - 100011
Published: Feb. 28, 2024
Pressure
on
freshwater
resources
is
tremendously
increasing
due
to
large-scale
global
population
explosion,
socio-economic
development,
climate
change
and
infrastructural
development
worldwide.
The
study
area
faces
severe
water
crisis,
groundwater
fluoride
contamination,
high
drought
frequency.
Thus,
the
principal
objectives
are
i)
assess
recent
surface
subsurface
dynamics
in
this
plateau
fringe
using
satellite
datasets
Google
Earth
Engine
(GEE)and
ii)
demarcate
suitable
sites
for
dam
construction
manage
crisis
substitute
drinking
sources.
Satellite
such
as
Sentinel
2
Gravity
Recovery
Climate
Experiment
(GRACE)
have
been
used
access
dynamics.
Numerous
criteria
or
influencing
factors
including
geology,
geomorphology,
lineament,
elevation,
slope,
rainfall,
land
use/land
cover,
soil,
stream
density,
normalized
vegetation
index
(NDVI),
distance
from
river
considered
new
site
suitability.
In
study,
four
advanced
machine
learning
models
namely
support
vector
(SVM),
random
forest
(RF),
logistic
regression
(LR)
gradient
boosting
(XGBoost)
applied
recommend
construction.
Average
changes
157.375
km2
(2012-2016)
156.185
km2(2017-2022).
Estimated
thickness
(EWT)
values
vary
28.58
cm
-27.07
(2002-2017).
case
of
soil
moisture
(SM),
lowest
value
(2.4
cm)
was
June
2009,
highest
(21.51
September
2003.
After
deduction
SM
EWS,
it
specifies
that
maximum
storage
(9.48
occurred
July
2004
whereas
a
minimum
(-30.21
March
2016.
Dam
suitability
results
denote
10%
areas
come
under
very
curve
(AUC)
SVM,
RF,
LR,
XGBoost
0.94,
0.95,
0.91,
0.92
respectively.
Therefore,
RF
model
has
comparatively
higher
regarding
performance.
output
research
will
be
advantageous
define
places
sustainable
resource
management
semi-arid
environment.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 59361 - 59385
Published: Jan. 1, 2024
The
classification
of
Land
Use
Cover
(LULC)
can
be
accomplished
with
the
help
hyperspectral
imaging,
which
is
a
cutting-edge
technology.
Nevertheless,
despite
its
efficacy,
utilization
images
for
LULC
continues
to
present
difficulties
and
demands
significant
amount
time.
limited
availability
training
samples
poses
challenge
in
achieving
accurate
LULC.
through
meticulous
deliberation
examination,
this
impediment
surmounted.
To
tackle
task
classification,
we
have
developed
Dilated
Neighbourhood
Attention
Transformer
(DNAT).
Firstly,
employ
LeNet-5
extract
features
from
provided
data.
Subsequently,
perform
band
selection
using
Crow
Search
Optimization
(CSO).
Following
extraction
bands,
proceed
classify
In
our
study,
used
Salinas,
Indian
Pines
(IP),
Washington
DC
Mall
datasets
classification.
performance
proposed
approach
evaluated
commonly
metrics,
namely,
Average
Accuracy
(AA),
Overall
(OA),
Kappa
Coefficient
(KC).
We
achieved
99.85%
as
OA,
99.83%
AA,
99.73%
KC
Salinas
Dataset.
This
highest
accuracy
DNAT
classifier.
experimental
results
proved
beyond
reasonable
doubt
that
method
possible
performance,
surpassing
all
prior
methods.
Urban Water Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 22
Published: Jan. 30, 2025
The
current
study
is
based
on
analyzing
the
land
use
cover
(LULC)
changes
and
its
corresponding
effects
water
surface
temperature
(LST)
twin
cities
of
Odisha,
i.e.
Bhubaneswar
Cuttack
using
a
machine
learning
Google
Earth
Engine
(GEE)
platform.
A
random
forest
(RF)
classification
model
was
adopted
due
to
simplicity
high
popularity
for
providing
accurate
results.
For
study,
Landsat
8
(OLI/TRIS)
Sentinel
2
were
accessed
via
GEE.
With
an
overall
accuracy
about
99%
RF
algorithm,
results
indicate
alarming
situation
cities,
especially
where
there
has
been
reduction
in
by
59%
response
increments
built-up
area
90%
LST
1.5%.
expanding
city
radius,
faced
28%
increase
17%
3.4%.
respectively.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(3), P. e24846 - e24846
Published: Jan. 21, 2024
Quantitative
analysis
of
the
process
urban
expansion
and
evolution
is
great
practical
significance
for
future
planning
development
potential
valley
cities.
Based
on
GEE
cloud
platform
Landsat
satellite
data,
this
paper
analyzed
spatio-temporal
change
characteristics
transfer
rules
land
cover
in
Xining
City
its
surrounding
areas
past
33
years
by
using
random
forest
algorithm,
consistency
test,
use
dynamic
attitude,
matrix
hot
spot
methods.
The
results
show
that
accuracy
range
preliminary
classification
construction
improved
1.57%–3.53
%
test
algorithm.
study
area
are
mainly
increase
area,
decrease
cultivated
grassland
small
water
body
unused
land,
type
from
to
prominent.
have
gradually
shifted
central
eastern
districts
city
1987
dominated
Haihu
New
District
West
city,
Biological
Park
higher
education
base
North
South
Duoba
Town
Ganhe
Industrial
2019.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(5), P. 1777 - 1777
Published: Feb. 21, 2024
The
macroinvertebrate
community,
physical–chemical
water
variables
and
hydromorphological
indices
were
studied
in
the
Turón
River
(Málaga,
Southern
Spain).
Our
study
aims
to
improve
knowledge
of
most
influential
environmental
factors
at
different
spatial
temporal
scales
Mediterranean
rivers,
order
establish
better
management
river
ecosystems.
To
this
end,
work,
seasonal
sampling
was
carried
out
for
one
year
evaluate
effect
characteristics
drainage
basin
(i.e.,
geology,
topography,
land
use)
on
community.
catchment
basins
evaluated
three
scales:
(i)
watershed
level,
(ii)
valley
segment
level
(iii)
local
level.
results
showed
that
13
variables,
3
scale,
5
scale
influenced
Land
use
is
main
explanatory
variable
while
stream
channel
curvature
common
habitat
assessment
index
with
strongest
influence
scale.
presented
a
variation.
During
spring,
autumn
winter,
exhibited
highest
resolution
(adjusted
R2
=
0.20–0.29),
summer,
became
significant
explaining
presence
taxa
0.17).
obtained
emphasize
significance
rivers
adequate
ecosystem
management.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(6), P. e27404 - e27404
Published: March 1, 2024
The
very
low
Earth
orbit
(VLEO),
which
includes
orbits
with
altitudes
of
100-450
km,
has
distinct
advantages
for
remote-sensing
spacecraft.
Lower
allow
payloads
smaller
dimensions,
weight,
and
power
to
achieve
performances
similar
or
better
than
larger
in
higher
remote
sensing
observation
missions.
most
important
advantage
optical
imaging
systems
is
the
resolution
these
can
attain.
present
paper
systemically
designs
high-resolution
payload
an
satellite
operations
VLEO.
aim
this
design
a
high
spatial
platform
reach
1-m
ground
sampling
distance
(GSD)
as
reported.
Therefore,
considering
orbital
altitude
300
km
system
calculations,
implementation
method
described.
results
obtained
show
that
proposed
(VHR4)
diffraction-limited
compared
several
examples
operational
platforms
under
approximately
equal
conditions.
Also,
by
calculating
estimating
power,
dimensions
(VHR4),
it
shown
meets
requirements
small
launcher
terms
power.
Frontiers in Earth Science,
Journal Year:
2024,
Volume and Issue:
12
Published: April 10, 2024
The
Yuanmou
dry-hot
valley
has
been
confirmed
as
a
typical
area
subjected
to
severe
soil
erosion
in
southwestern
China.
research
on
the
deformation
exhibited
by
dry-red
that
is
extensively
distributed
this
region
takes
critical
significance
deepening
investigation
of
and
water
loss
control
efforts
valley.
In
study,
time
series
was
established
at
different
altitudinal
gradients
from
March
2018
October
2022
using
Small
Baseline
Subset
InSAR
(SBAS-InSAR)
technology
explore
patterns
Next,
fractional
vegetation
cover
(FVC)
monthly
average
rainfall
identical
period
were
analyzed
comprehensively.
result
study
are
presented
follows:
1)
regions
valley,
which
observed
line
sight
(LOS)
direction,
attained
rates
ranging
−101.683
mm/yr
30.57
(Ascending),-79.658
41.942
(Descending).
general,
areas
with
significant
surface
concentrated
Longchuan
River
basin
flowing
through
north
south
County
well
river
confluence
zones.
Uplifted
have
more
widely
reported
central
northern
(e.g.,
Wudongde
hydroelectric
power
station
reservoir
area).
2)
A
gradient
effect
exerted
valley-dam
medium
low
mountain
most
erosion,
maximum
reached
over
80
mm.
Erosion
mitigated
around
dam
high
areas,
60
mm
30
mm,
respectively.
At
an
altitude
1,350
m,
significantly
affected
rainfall.
Nevertheless,
variations
FVC
become
primary
factor
for
soil.
results
can
scientifically
support
