Assessing Machine Learning and Statistical Methods for Rock Glacier‐Based Permafrost Distribution in Northern Kargil Region
Permafrost and Periglacial Processes,
Journal Year:
2024,
Volume and Issue:
35(3), P. 262 - 277
Published: June 18, 2024
ABSTRACT
Estimating
permafrost
distribution
in
high‐mountain
areas
is
challenging.
In
these
situations,
rock
glaciers,
provide
valuable
insights
into
and
are
often
used
as
proxies
for
identifying
occurrence.
Integrating
various
climatological
topographical
conditioning
factors
with
glaciers
enables
inferring
the
of
environments.
This
study
utilized
three
machine
learning
models
such
random
forest
(RF),
support
vector
(SVM),
artificial
neural
network
(ANN),
one
statistical
model,
namely,
frequency
ratio
(FR),
to
assess
probability
over
northern
Kargil
region
Indian
Himalayas.
Among
198
identified
through
high‐resolution
images
from
Google
Earth,
70%
training
dataset,
rest
30%
testing
dataset.
The
considered
eight
factors:
slope,
aspect,
elevation,
curvature,
mean
annual
land
surface
temperature
(MA‐LST),
normalized
difference
snow
index
(MA‐NDSI),
water
(MA‐NDWI),
lithology
mapping.
Furthermore,
SHapley
Additive
exPlanations
(SHAP)
test
assessed
variable
importance
model
performance.
results
revealed
that
RF
performs
best
mapping,
followed
by
SVM,
FR,
ANN
models.
also
found
11%
total
geographic
area
has
a
high
very
Language: Английский
Mapping taluses using deep learning and high-resolution satellite images
Decai Jiang,
No information about this author
Min Feng,
No information about this author
Dezhao Yan
No information about this author
et al.
International Journal of Digital Earth,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: April 2, 2025
Language: Английский
Comprehensive assessment of rock glaciers in the Himachal Himalayas: Updated inventory and labelling
Progress in Physical Geography Earth and Environment,
Journal Year:
2024,
Volume and Issue:
48(4), P. 571 - 594
Published: July 20, 2024
Rock
glaciers
are
geomorphological
features
often
used
as
a
visible
expression
of
mountain
permafrost.
These
creeping
ice-debris
with
distinct
ridge
and
furrow
structures
on
the
surface
steep
frontal
slope.
glaciers,
being
valuable
past
permafrost
indicators,
also
have
utmost
hydrological
significance
in
near
future.
Therefore,
mapping
rock
is
an
important
step
order
to
understand
regimes
better.
The
Himalayas
large
occurrences
these
this
study
Himachal
complied
789
covering
area
about
336.2
km
2
.
Different
labels
based
genesis,
location,
shape,
form,
relief
activity
revealed
were
mainly
derived
from
talus
slopes
(239)
exhibited
tongue
shape
(377),
primarily
found
cirques
(531).
Most
them
classified
simple
units
(603)
well-developed
(387),
they
be
predominantly
intact
(760).
topographical
parameters
suggest
majority
located
between
4000
4800
m
mean
elevation
4635
m.
present
at
gentle
slope
gradient
(0
45°)
curvature
ranging
−3.5
4.5,
showing
convex
curvature.
aspect
conducive
for
formation
northerly
(N,
NW,
NE).
Principal
geology
belongs
slate,
phyllite,
quartzarenite,
limestone
meta
basics.
climatic
indices
affect
occurrence
significantly.
land
temperature
(LST)
lies
0
−15°C.
While,
NDSI
all
varies
0.04
0.68
NDVI
−0.06
0.08.
Overall,
inventory
along
database
understanding
distribution
characteristics
Himalayas.
Language: Английский
Machine learning based high-resolution air temperature modelling from landsat-8, MODIS, and In-Situ measurements with ERA-5 inter-comparison in the data sparse regions of Himachal Pradesh
Bulletin of Atmospheric Science and Technology,
Journal Year:
2024,
Volume and Issue:
5(1)
Published: Dec. 1, 2024
Language: Английский