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.
Geosystems and Geoenvironment,
Год журнала:
2022,
Номер
2(2), С. 100131 - 100131
Опубликована: Сен. 7, 2022
Land
suitability
analysis
(LSA)
is
the
progression
of
influence
if
a
certain
piece
land
suitable
for
specific
use.
study
crops
an
essential
contemporary
step
in
identifying
appropriate
and
sustainable
use
strategies
to
enhance
land's
potential.
LSA
agriculture
one
most
capable
models
exposing
apprehension
arable
forecasting
allocation
long-term
growth
semi-arid
regions.
As
result,
goal
this
research
provide
conceptual
process
that
will
aid
increasing
green
cover
address
environmental
challenges
prevent
groundwater
recharge.
Several
thematic
layers
like
soils,
geology,
slope,
geomorphology,
Drainage
Density
(DD),
Landuse
landcover
(LULC),
Soil
pH,
soil
nitrogen,
phosphorous,
potassium
are
derived
by
using
collateral
data,
satellite
images
involved
analysis.
The
Multicriteria
Decision
Making
(MCDM),
with
Analytical
Hierarchy
Process
(AHP)
based
pairwise
comparison
matrix,
was
applied
estimate
agriculture.
outcomes
revealed,
around
80.53
sq.km
(26.55%)
highly
suitable,
87.38
(28.81%)
moderately
82.34
(27.15%)
marginally
53.07
(17.50%)
not
region.
decision-making
AHP
tool
combined
GIS
presents
unique
technique,
findings
from
work
might
be
valuable
viable
agricultural
lands
diverse
regions
world.
HydroResearch,
Год журнала:
2024,
Номер
7, С. 86 - 98
Опубликована: Янв. 1, 2024
The
main
aim
of
this
research
is
to
evaluate
the
quality
groundwater
in
parts
Anantapur
district,
Andhra
Pradesh,
for
drinking
and
irrigation
purposes.
Groundwater
samples
were
collected
from
various
locations
study
area
during
post-monsoon
season
analyzed
different
parameters
including
pH,
EC,
TDS,
Ca2+,
Mg2+,
Na+,
K+,
HCO3−,
Cl−,
SO42−,
NO3−.
results
then
compared
with
water
standards
World
Health
Organization
(WHO).
major
ions
found
following
order:
Na+
>
Ca2+
Mg2+
K+
=
HCO3−
SO42−
Cl−
obtained
data
was
mapped
using
Arc-GIS
technique
show
spatial
distribution
pattern
physicochemical
properties
ion
concentrations
groundwater.
index
showed
that
69%
are
very
poor,
31%
unfit
purposes
due
effective
leaching
ions,
over-exploitation
groundwater,
direct
discharge
effluents,
agricultural
impact.
Based
on
Gibbs
diagram,
fall
within
rock
dominance
region.
majority
fell
into
C3S1
category,
which
denotes
high
salinity
low
sodium
moderately
suitable
purposes,
according
USSL
diagram.
According
Wilcox
classification,
27%
2%
deemed
doubtful
unsuitable,
respectively,
while
farming.
In
addition,
most
moderate
suitability
when
evaluated
SAR,
%Na,
PI,
RSC,
MAR,
KR.
Most
samples,
exception
a
few
spots,
turned
out
be
irrigation.
However,
human
activity,
some
had
levels
contamination
higher
than
allowed
needed
treated
before
consumption.
Geomatics,
Год журнала:
2024,
Номер
4(2), С. 91 - 123
Опубликована: Март 22, 2024
Effective
management
of
water
resources
is
crucial
for
sustainable
development
in
any
region.
When
considering
computer-aided
analysis
resource
management,
geospatial
technology,
i.e.,
the
use
remote
sensing
(RS)
combined
with
Geographic
Information
Systems
(GIS)
proves
to
be
highly
valuable.
Geospatial
technology
more
cost-effective
and
requires
less
labor
compared
ground-based
surveys,
making
it
suitable
a
wide
range
agricultural
applications.
Effectively
utilizing
timely,
accurate,
objective
data
provided
by
RS
technologies
presents
challenge
field
management.
Satellite-based
measurements
offer
consistent
information
on
hydrological
conditions
across
extensive
land
areas.
In
this
study,
we
carried
out
detailed
focused
addressing
issues
India
through
application
GIS
technologies.
Adhering
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analysis
(PRISMA)
guidelines,
systematically
reviewed
published
research
articles,
providing
comprehensive
analysis.
This
study
aims
explore
practices
goal
enhancing
their
effectiveness
efficiency.
primarily
examines
current
Indian
sustainability.
We
revealed
that
considerable
has
used
multispectral
Landsat
series
data.
Cutting-edge
like
Sentinel,
Unmanned
Aerial
Vehicles
(UAVs),
hyperspectral
have
not
been
fully
investigated
assessment
monitoring
resources.
Integrating
allows
monitoring,
offering
valuable
recommendations
effective
Geomatics Natural Hazards and Risk,
Год журнала:
2023,
Номер
14(1)
Опубликована: Окт. 19, 2023
Groundwater
resource
problems
are
increasing
development
and
planning
challenges
due
to
climate
change
overexploitation,
necessitating
assessments
of
their
potential
productivity.
The
study
area
has
been
facing
a
groundwater
level
decline
problem
for
many
years,
these
results
can
help
increase
the
in
basaltic
rock
area.
In
this
research,
we
have
worked
on
demarcation
suitability
zones
using
GIS
Analytical
Hierarchical
Process
(AHP)
methods
Urmodi
River
Basin.
This
research
prepared
eight
thematic
maps,
that
is,
geomorphology,
geology,
drainage
density,
land
use/land
cover,
elevation,
lineament
density
slope
from
satellite
data
methods,
which
play
primary
factor
determining
proper
zones.
study,
every
map
was
allocated
weights
depending
its
specific
characteristics
contribution
capacity.
were
determined
AHP
method,
considers
comparative
significance
layer
about
others.
weighting
procedure
allowed
comprehensive
assessment
factors
influencing
basin.
resulting
divided
into
four
classes,
good,
excellent,
moderate,
poor.
revealed
approximately
22.69%
basin
had
excellent
potential,
28.96%
good
25.32%
moderate
22.92%
poor
potential.
These
findings
suggest
significant
portion
Basin
exhibits
indicating
promising
opportunities
sustainable
utilization
region.
zone
accuracy
is
84%
based
Receiver
Operating
Characteristic
(ROC)
method.
implications
resources
provide
framework
conducting
similar
other
regions.
be
more
important
goals
helpful
levels
Discover Geoscience,
Год журнала:
2024,
Номер
2(1)
Опубликована: Июль 23, 2024
Abstract
This
paper
presents
a
comprehensive
analysis
of
the
spatial
patterns
and
temporal
dynamics
land
use
cover
changes
in
South
Kashmir
from
2000
to
2022
leveraging
remote
sensing
technologies
revealing
significant
transformations
various
classes.
The
study
used
maximum
likelihood
classification,
supervised
classification
method,
analyze
Landsat
satellite
imagery
identify
ten
major
categories.
findings
demonstrate
notable
increases
in,
barren
by
18.78
km
2
(0.35%),
built-up
areas
72.28
(1.33%),
forests
274.76
(5.05%),
grasslands
68.06
(1.25%),
scrubland
307.82
(5.66%).
horticulture
experienced
rise
419.17
(7.70%),
Conversely,
several
classes
reported
decline,
agriculture
757.21
(13.91%),
exposed
rockmass
258.58
(4.75%),
glaciers
snow
136.83
(2.51%),
water
bodies
contracted
8.23
(0.15%).
primary
drivers
change
region
are
identified
as
climate
change,
population
growth,
economic
factors.
Climate
has
altered
precipitation
affecting
agricultural
productivity
leading
retreat
glaciers.
Population
growth
reasons,
including
policies,
have
also
played
role
shaping
landscape
Kashmir.
These
underscore
dynamic
nature
Kashmir,
with
implications
for
regional
planning
environmental
management.
underscores
cost-effectiveness
efficacy
geospatial
conducting
spatiotemporal
analyses
formulating
evidence-based
policies
sustainable
management
natural
resources.
