As
one
of
the
fastest-growing
cities
in
India,
Varanasi
City
has
experienced
unplanned
and
rapid
land
use/land
cover
changes
recent
years.
This
study
quantifies
characterizes
spatiotemporal
patterns
its
peri-urban
areas
using
Remote
Sensing,
GIS,
Landscape
Metrics.
The
results
this
demonstrate
a
continuous
increase
built-up
vacant
lands
replacing
agricultural
land,
vegetation
cover,
water
bodies.
situation
substantially
hinders
cover-related
planning
capabilities
targets
areas.
dramatic
urban
expansion
city
resulted
landscape
composition
increased
heterogeneity,
leading
to
structural
complexities
at
both
class
levels.
type
dynamics
related
are
becoming
increasingly
challenging
for
local
planners
policymakers.
In
addition,
it
put
pressure
on
bodies
properly
manage
utilize
limited
resources.
thematic
landscape-based
spatial
information
from
facilitates
an
understanding
can
further
aid
best
possible
decisions
regarding
use
restoration
deteriorating
ecosystems.
Modeling Earth Systems and Environment,
Journal Year:
2023,
Volume and Issue:
10(2), P. 2393 - 2419
Published: Dec. 16, 2023
Abstract
Climate
change
and
anthropogenic
factors
have
exacerbated
flood
risks
in
many
regions
across
the
globe,
including
Himalayan
foothill
region
India.
The
Jia
Bharali
River
basin,
situated
this
vulnerable
area,
frequently
experiences
high-magnitude
floods,
causing
significant
damage
to
environment
local
communities.
Developing
accurate
reliable
susceptibility
models
is
crucial
for
effective
prevention,
management,
adaptation
strategies.
In
study,
we
aimed
generate
a
comprehensive
zone
model
catchment
by
integrating
statistical
methods
with
expert
knowledge-based
mathematical
models.
We
applied
four
distinct
models,
Frequency
Ratio
model,
Fuzzy
Logic
(FL)
Multi-criteria
Decision
Making
based
Analytical
Hierarchy
Process
evaluate
of
basin.
results
revealed
that
approximately
one-third
basin
area
fell
within
moderate
very
high
flood-prone
zones.
contrast,
over
50%
was
classified
as
low
demonstrated
strong
performance,
ROC-AUC
scores
exceeding
70%
MAE,
MSE,
RMSE
below
30%.
FL
AHP
were
recommended
application
among
areas
similar
physiographic
characteristics
due
their
exceptional
performance
training
datasets.
This
study
offers
insights
policymakers,
regional
administrative
authorities,
environmentalists,
engineers
working
region.
By
providing
robust
research
enhances
prevention
efforts
thereby
serving
vital
climate
strategy
regions.
findings
also
implications
disaster
risk
reduction
sustainable
development
areas,
contributing
global
towards
achieving
United
Nations'
Sustainable
Development
Goals.
European Journal of Remote Sensing,
Journal Year:
2024,
Volume and Issue:
57(1)
Published: Oct. 30, 2024
This
study
explores
the
rapid
growth
in
remote-sensing
technologies
for
vegetation
mapping,
driven
by
integration
of
advanced
machine
learning
techniques.
An
analysis
publication
trends
from
Scopus
indicates
significant
expansion
2019
to
2023,
reflecting
technological
advancements
and
improved
accessibility.
Incorporating
algorithms
like
random
forest,
support
vector
machines,
neural
networks,
XGBRFClassifier
has
enhanced
monitoring
dynamics
at
various
scales.
progress
supports
addressing
global
environmental
challenges
such
as
climate
change
providing
timely
data
conservation
strategies.
China
leads
research
output,
followed
United
States
India,
underscoring
field's
significance.
Key
journals,
including
"Remote
Sensing,"
conferences
IGARSS,
play
pivotal
roles
disseminating
findings.
The
majority
publications
are
articles,
emphasizing
reliance
on
original
empirical
data.
multidisciplinary
nature
is
evident,
with
contributions
spanning
Earth
Sciences,
Agriculture,
Environmental
Science,
Computer
Science.
Visualisations
using
VOSviewer
reveal
interconnected
themes,
highlighting
topics
land
use,
change,
aboveground
biomass.
findings
emphasise
importance
continued
international
collaboration
develop
innovative
solutions
sustainability.
Geographical Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
Abstract
Understanding
land
use
and
cover
(LULC)
dynamics
in
seismically
active
regions
is
crucial
for
risk‐informed
urban
planning
sustainable
post‐disaster
recovery.
This
study
investigates
the
impact
of
Mw
6.8
Elazığ
earthquake
(24
January
2020)
on
LULC
patterns
eastern
Turkey
by
integrating
high‐resolution
Sentinel‐2
satellite
imagery
with
geographic
information
systems
(GIS),
remote
sensing
(RS),
artificial
neural
networks
(ANNs),
Markov
chain
modelling.
The
methodology
comprises
four
phases:
establishing
a
pre‐earthquake
baseline
(2015–2019),
assessing
post‐earthquake
changes
(2015–2023),
analysing
transition
probabilities
to
identify
key
drivers,
forecasting
land‐use
scenarios
2030
2050
under
seismic
non‐seismic
conditions.
Results
reveal
that
activity
significantly
accelerates
expansion,
shifting
development
towards
geologically
stable
zones.
By
2050,
surfaces
are
projected
occupy
54.70%
region
influence,
compared
48.87%
without
it.
Agricultural
more
preserved
scenario
(26.54%)
than
case
(22.68%),
while
pasture
meadow
areas
decline
sharply
6.18%,
raising
concerns
biodiversity
ecosystem
services.
These
findings
emphasise
importance
ecological
considerations
risk
into
frameworks.
combining
multicriteria
decision‐making
machine
learning‐based
forecasting,
offers
replicable
scalable
model
balancing
growth,
environmental
conservation,
resilience.
Framed
within
interdisciplinary
insights
from
disaster
resilience
theory,
governance,
spatial
modelling,
this
research
contributes
global
discourse
transformation
face
increasing
natural
hazards.
Discover Geoscience,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: July 23, 2024
Abstract
Rajasthan
faces
significant
environmental
challenges,
including
the
pressing
need
for
effective
climate
change
mitigation
strategies.
Recognizing
afforestation
as
a
vital
tool
in
this
endeavor,
study
leverages
latest
remote
sensing
and
geospatial
analysis
to
map
out
state's
potential.
The
goal
is
assess
land
suitability
across
projects
evaluate
potential
carbon
sequestration
capabilities
of
different
tree
species.
This
aims
inform
sustainable
management
strategies
that
can
contribute
mitigation.
By
integrating
satellite
imagery,
cover
data,
terrain
analysis,
vegetation
indices,
evaluates
factors
such
slope,
soil
moisture,
health
identify
areas
optimal
planting.
A
model
was
also
developed
estimate
rates
based
on
species-specific
growth
patterns.
Findings
indicate
approximately
40%
suitable
afforestation,
with
ranging
from
2
8
tons
per
hectare
year.
Species
Azadirachta
indica
(Neem)
Prosopis
cineraria
(Khejri)
are
identified
particularly
short-term
sequestration,
while
Phyllanthus
emblica
(Amla)
Ziziphus
mauritiana
(Ber)
better
suited
long-term
capture.
research
highlights
importance
targeted
using
species
nature-based
solution
(NBS)
Rajasthan.
offers
data-driven
approach
enhancing
ecosystem
resilience
supports
decision-making
adaptation
arid
regions,
highlighting
Rajasthan's
through
afforestation.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(6), P. 2434 - 2434
Published: March 13, 2024
Current
information
on
urban
land
use
and
surface
cover
is
derived
from
the
classification
of
cities,
facilitating
accurate
future
planning.
Key
insights
are
driven
by
multi-year
remote
sensing
data.
These
data,
when
analyzed,
produce
high-resolution
changes
Earth’s
surface.
In
this
context,
publicly
accessible
Urban
Atlas
data
employed
for
high-precision
monitoring
terrestrial
surfaces.
datasets,
which
useful
preserving
natural
resources,
guiding
spatial
developments,
mitigating
pollution,
crucial
managing
cities.
This
research
aims
to
analyze
contrast
(LULC)
in
Gaziantep
(Turkey)
between
2010
2018
using
investigate
correlations
city’s
statistical
LULC
changes.
Gaziantep’s
dynamics
were
analyzed
datasets
2015
2012
2018,
latter
part
Copernicus,
European
Earth
Observation
Programme.
To
understand
impact
landscapes,
people,
environment,
official
environmental
demographic
statistics
spanning
four
years
sourced
studied.
The
findings
reveal
a
trend
agricultural
vacant
lands
evolving
into
residential
industrial
zones,
with
such
likely
increase
near
future,
given
growth
building
zones.
While
some
classes
have
shown
consistent
area
values
annually,
zones
expanded
response
housing
employment
demands.
most
significant
alterations
occurred
last
three
years.
Shifts
configurations
align
closely
migratory
patterns,
reflecting
notable
variations
factors
like
population,
consumption,
pollution.
Journal of Geography and Cartography,
Journal Year:
2024,
Volume and Issue:
7(1), P. 4265 - 4265
Published: May 13, 2024
Integrated
Resource
Management
plays
a
crucial
role
in
sustainable
development
by
ensuring
efficient
allocation
and
utilization
of
natural
resources.
Remote
Sensing
(RS)
Geographic
Information
System
(GIS)
have
emerged
as
powerful
tools
for
collecting,
analyzing,
managing
spatial
data,
enabling
comprehensive
integrated
decision-making
processes.
This
review
article
uniquely
focuses
on
(IRM)
its
development.
It
specifically
examines
the
application
RS
GIS
IRM
across
various
resource
management
domains.
The
stands
out
coverage
benefits,
challenges,
future
directions
this
approach.
