Geocarto International,
Год журнала:
2023,
Номер
38(1)
Опубликована: Март 18, 2023
Currently,
the
monitoring
of
rocky
desertification(RD)
is
concentrated
in
karst
area,
whereas
study
red-bed
areas
rare.
In
this
paper,
we
present
a
multi-scale
classification
framework
for
RD
based
on
spectral-spatial
features.
At
pixel
scale,
explored
several
spectral
indices
statistics
and
separability
analysis
land
cover
samples.
The
homogeneous
covers
were
classified
by
decision
rules
from
selected
(such
as
NDIOI,
NRRI
NDGI);
patch
classes
further
distinguished
spatial
multiple
neighborhood
features
including
proximity,
linear
density,
buffer
distance.
method
was
applied
an
OLI
image
over
area
northwestern
Jiangxi,
south
central
China,
validated
using
ground-based
observations.
experimental
results
verification
comparison
are
satisfactory.
This
work
demonstrates
methodological
supplement
to
red
bed
RD.
Scientific African,
Год журнала:
2023,
Номер
23, С. e02052 - e02052
Опубликована: Дек. 24, 2023
Exploring
the
spatial
non-stationary
relationships
between
land
surface
temperature
(LST)
and
their
driving
environmental
factors
is
important
for
selecting
appropriate
strategies
to
mitigate
regulate
thermal
environment
of
watersheds.
To
examine
influence
various
biophysical
on
LST
in
Upper
Awash
Basin
(UAB)
Ethiopia,
study
used
two
models:
Ordinary
Least
Squares
(OLS)
Geographically
Weighted
Regression
(GWR)
models.
As
a
global
model,
OLS
model
was
initially
capture
overall
relationship
some
factors.
And
then
GWR,
local
modelling
approach,
its
influencing
generate
factors,
Landsat
8
OLI/TIRS
image
Advanced
Spaceborne
Thermal
Emission
Reflection
Radiometer
Global
Digital
Elevation
Model
(ASTER
GDEM)
were
used.
Biophysical
parameters
such
as
enhanced
vegetation
index
(EVI),
modified
normalized
difference
water
(MNDWI),
built-up
(NDBI),
bareness
(NDBaI),
albedo
elevation
potential
LST.
The
result
showed
that
GWR
with
higher
coefficient
determination
(R2)
(GWR:
0.98;
OLS:
0.52)
smaller
Akaike
Information
Criterion
(AIC)
12354;
65412),
provides
better
prediction
than
traditional
reflecting
non-stationarity
relationships.
results
also
increased
significantly
affected
by
NDBI,
NDBaI
albedo,
NDBI
having
greatest
effect.
Conversely,
EVI,
MNDVI,
DEM
negative
correlation
LST,
EVI
impact.
These
findings
highlighted
importance
considering
pertinent
they
offer
recommendations
mitigating
measures
control
river
basin.
Journal of Hydro-meteorology,
Год журнала:
2024,
Номер
8(19), С. 1 - 11
Опубликована: Май 4, 2024
Floods,
as
natural
occurrences,
often
result
in
significant
impacts
on
human
life.The
construction
of
flood
maps
plays
a
crucial
role
devising
appropriate
strategies
to
mitigate
the
adverse
effects
floods.In
recent
decades,
there
has
been
notable
attention
towards
mapping
methods
utilizing
remote
sensing
images.This
paper
introduces
methodology
for
generating
an
inundation
map
rainy
season
and
river
network.To
achieve
this
objective,
we
investigated
use
recently
developed
Modified
Normalized
Difference
Water
Index
(MNDWI)
within
Google
Earth
Engine
platform
extracting
surface
water.The
study
yielded
extracted
with
considerable
precision,
facilitating
calculation
analysis
extents
area.
CLEAN - Soil Air Water,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 10, 2024
ABSTRACT
Surface
and
subsurface
anomalies,
hydrological
conditions,
dynamic
interactions
between
embedded
thematic
layers
influence
groundwater
recharge
potential
(GRP).
Conducting
a
GRP
study
plays
an
essential
role
in
promoting
the
sustainable
use
of
resources
amid
growing
population
unplanned
urbanization.
This
focuses
on
assessing
semi‐arid
eastern
plains
Rajasthan
by
delineating
zones
(GPZs)
using
integrated
approach
involving
remote
sensing
geographical
information
system
(RS‐GIS)
technique
analytical
hierarchy
process
(AHP)
method.
Research
findings
indicate
that
region
dominated
fine
sand,
silt
clay,
pediment‐pediplain
complex,
aeolian
sand
sheet,
higher
drainage
density,
cambisols
soil,
river
channels,
floodplains,
water
bodies,
soil
hydraulic
conductivity
surface
wetness
significantly
contributed
to
good
region.
Additionally,
lineaments,
hills
valleys
regulate
movement.
A
strong
negative
correlation
(–0.78)
decadal‐mean‐depth
fluctuation
GPZs
frequency
classes
validates
identifying
high
areas
with
low
mean‐depth
fluctuation.
Sensitivity
analysis
highlights
geology
geomorphology
as
crucial
factors.
However,
addresses
limitations
challenges,
such
data
scaling
spatial
resolution
issues
due
nonlinear
pixel
fusion
algorithms
AHP
method‐related
model
interpretation.
The
current
presents
convenient
for
improving
resource
management
hydrogeologically
sensitive
drought‐prone
regions.
Geocarto International,
Год журнала:
2023,
Номер
38(1)
Опубликована: Март 18, 2023
Currently,
the
monitoring
of
rocky
desertification(RD)
is
concentrated
in
karst
area,
whereas
study
red-bed
areas
rare.
In
this
paper,
we
present
a
multi-scale
classification
framework
for
RD
based
on
spectral-spatial
features.
At
pixel
scale,
explored
several
spectral
indices
statistics
and
separability
analysis
land
cover
samples.
The
homogeneous
covers
were
classified
by
decision
rules
from
selected
(such
as
NDIOI,
NRRI
NDGI);
patch
classes
further
distinguished
spatial
multiple
neighborhood
features
including
proximity,
linear
density,
buffer
distance.
method
was
applied
an
OLI
image
over
area
northwestern
Jiangxi,
south
central
China,
validated
using
ground-based
observations.
experimental
results
verification
comparison
are
satisfactory.
This
work
demonstrates
methodological
supplement
to
red
bed
RD.
