Assessment of Machine Learning Techniques in Mapping Land Use/Land Cover Changes in a Semi-Arid Environment
Earth Systems and Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Язык: Английский
Impact of Climate Variability on the Feeding Glaciers of Potentially Dangerous Glacial Lakes in the Jhelum Basin of Kashmir Himalaya, India
Natural Hazards Review,
Год журнала:
2025,
Номер
26(2)
Опубликована: Янв. 9, 2025
Язык: Английский
Epidemiological Trends and Patterns of Gastric Cancer in the Kashmir Valley, India
Clinical Epidemiology and Global Health,
Год журнала:
2025,
Номер
unknown, С. 102057 - 102057
Опубликована: Май 1, 2025
Язык: Английский
Utilization of remote sensing and GIS for land use and land cover mapping in Wasit province, Iraq
E3S Web of Conferences,
Год журнала:
2025,
Номер
633, С. 07021 - 07021
Опубликована: Янв. 1, 2025
All
physical
components
on
the
Earth’s
surface
are
collectively
termed
land
cover,
such
as
water,
vegetation,
bare
soil,
and
artificial
structures
made
by
humans.
In
contrast,
use
refers
to
how
humans
for
urban
growth,
agricultural
practices,
commerce
activities.
The
increase
in
population
density
has
resulted
changes
use/land
cover
(LULC)
because
of
expansion
other
human
This
study
investigates
effectiveness
a
supervised
MLC
classification
algorithm
produce
LULC
maps
Wasit
Governorate
from
multiple
satellite
images
using
remote
sensing
GIS
techniques,
which
is
great
importance
earth
observation
applications,
environmental
monitoring
disaster
prediction.
Three
Landsat
8-9/OLI
were
used
entire
area
year
2024.
Preprocessing
including
radiometric
atmospheric
corrections
was
performed
ENVI
5.3V
software,
mosaicking,
layer
stacking,
image
subsetting
Arc
10.8
improve
quality.
Image
processing
find
classes
Maximum
Likelihood
(MLC)
algorithm.
results
indicated
five
classifications
area:
water
bodies,
built-up
areas,
arid
areas
saline
areas.
Furthermore,
post-processing
images,
accuracy
assessment,
assess
mapping,
yielding
an
overall
agreement
90.58%
Kappa
index
88%,
measures
extent
or
accuracy.
These
convincing
with
kappa
more
than
0.8.
demonstrates
potential
integrated
machine
learning
methods
efficient
classification,
analysis
monitoring.
also
provides
broad
horizons
knowledge
planners
regional
authorities.
Язык: Английский
Land degradation vulnerability mapping using geospatial techniques: a case study of Nandakini River basin, NW Himalaya, India
International Journal of River Basin Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 16
Опубликована: Сен. 10, 2024
Язык: Английский
Glacial lake outburst flood risk assessment of a rapidly expanding glacial lake in the Ladakh region of Western Himalaya, using hydrodynamic modeling
Geomatics Natural Hazards and Risk,
Год журнала:
2024,
Номер
15(1)
Опубликована: Окт. 21, 2024
The
ongoing
trend
of
warming
climate
has
made
Glacial
Lake
Outburst
Floods
(GLOFs)
a
major
cryospheric
hazard
worldwide,
especially
in
the
Himalayas.
GLOFs
Himalayan
region
are
mostly
caused
by
moraine-dammed
proglacial
lakes
and
ice-dammed
lakes.
These
sporadic
disasters
have
resulted
significant
loss
life
property.
This
study
offers
comprehensive
analysis
GLOF
potential
potentially
dangerous
lake
(PDGL)
Ladakh
region.
research
explores
threat
from
using
multi-criteria
advanced
2D
hydrodynamic
modeling
approaches.
mass
balance
response
mother
glacier,
its
flow
dynamics,
glacier-lake
interactions
were
examined
for
past
22
years.
findings
show
that
over
this
period,
PDGL
had
notable
expansion
78.7%,
accompanied
recession
13.2%
feeding
glacier.
glacier
witnessed
an
average
thickness
⁓7
m
at
rate
0.32
a−1
during
period.
average,
lowest,
maximum
depth
found
to
be
30.95,
14.30,
50.57
m,
respectively
velocity
was
estimated
as
3.38
a−1.
Because
lake's
rapid
steep
surrounding
slopes,
it
classified
high-hazard
lake.
risk
downstream
community
assessed
through
HEC-RAS
tool.
discharge
under
worst-case
scenario
piping
overtopping
failures
3890.99
m3s−1
5111.39
m3s−1,
respectively.
area
inundation
calculated
4.74
5.38
km2
moderate
scenarios
expected
flood
velocities
range
18.26
23.78
meters,
scenarios.
At
several
locations
area,
routed
hydrographs
representing
propagation
generated.
wave
would
arrive
first
settlement
50
min,
with
peak
12.36
s−1.
inundated
includes
critical
infrastructure
such
bridges,
residential
houses,
roads.
To
mitigate
associated
lake,
more
detailed
on-site
is
highly
recommended.
Язык: Английский
Assessment of livestock carrying capacity in the alpine grasslands of the Kashmir Himalayas
Deleted Journal,
Год журнала:
2024,
Номер
14
Опубликована: Ноя. 14, 2024
The
alpine
grasslands
of
the
Kashmir
Himalayas
serve
as
a
lifeline
for
region’s
pastoral
communities,
providing
primary
source
forage
their
livestock.
These
high-altitude
rangelands
are
not
only
crucial
livelihood
these
communities
but
also
play
significant
role
in
maintaining
ecological
balance
area.
However,
sustainable
pastoralism
fragile
ecosystem
hinges
on
thorough
understanding
availability
and
livestock
carrying
capacity.
This
study
assesses
dynamics
capacity
grasslands.
Through
comprehensive
biomass
sampling
across
23
strategically
selected
sites,
we
calculated
an
average
dry
matter
above
ground
yield
5.10
metric
tons
per
hectare,
resulting
total
weight
approximately
820,489.22
(820,489,220
kg),
over
entire
grassland
area
160,974
ha.
Using
daily
intake
1.3
kg
Sheep
Unit
(SU)
50
grazing
days,
time
period
which
corresponds
to
renewal
new
grass
growth,
was
determined
be
39.08
Animal
Units
(AU)
hectare
estimated
62,78,556
SU.
current
stocking
rate
4,661,800
SU
utilizes
about
74.21%
this
Carrying
capacity,
leaving
surplus
25.77%
or
1,616,756
Units.
localized
overgrazing
areas
such
Thajwas
Mohand
Marg
highlights
need
targeted
management
practices
prevent
rangeland
degradation.
data
is
critical
it
provides
baseline
potential
support
underscores
importance
optimize
while
Engaging
local
efforts
essential
effective
Himalayas.
Язык: Английский