Journal of Hydro-meteorology,
Journal Year:
2023,
Volume and Issue:
10(754), P. 9 - 25
Published: Oct. 6, 2023
Coastal
erosion
in
the
Mekong
Delta
is
happening
with
more
frequency
and
serious
damage.This
type
of
disaster
greatly
affects
people's
lives,
properties
livelihoods
subject
many
research
projects
projects.Remote
sensing
one
methods
chosen
to
analyze
shoreline
change
over
years.In
this
study,
Landsat
8
remote
images
were
combined
DSAS
tool
integrated
ArcGIS
software
clarify
changes
erosions
occurring
coastal
area
from
Tien
Giang
Soc
Trang
period
2021-2023.The
analysis
results
show
that,
about
63.71%
length
will
be
eroded
2021-2022.However,
by
next
2022-2023,
number
drops
59.03%.This
shows
that
extent
almost
equal
two
periods
but
tends
decrease
slightly.Along
comparing
2016-2020,
it
can
seen
2021-2023
Giang,
Ben
Tre
provinces
have
a
slight
rate,
while
Tra
Vinh
province
rate.the
direction
increases
rapidly.The
are
basis
for
improving
capacity
landslide
forecasting,
warning,
monitoring
management,
minimizing
impact
landslides,
protecting
safety
livelihoods.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(19), P. 4865 - 4865
Published: Oct. 8, 2023
The
coastal
zone
represents
a
unique
interface
between
land
and
sea,
addressing
the
ecological
crisis
it
faces
is
of
global
significance.
One
most
fundamental
effective
measures
to
extract
coastline’s
location
on
large
scale,
dynamically,
accurately.
Remote
sensing
technology
has
been
widely
employed
in
coastline
extraction
due
its
temporal,
spatial,
sensor
diversity
advantages.
Substantial
progress
made
with
diversifying
data
types
information
methods.
This
paper
focuses
discussing
research
related
sources
methods
for
remote
sensing-based
extraction.
We
summarize
suitability
some
algorithms
several
specific
types,
including
rocky
coastlines,
sandy
muddy
biological
artificial
coastlines.
also
discuss
significant
challenges
prospects
dataset
construction,
remotely
sensed
selection,
applicability
method.
In
particular,
we
propose
idea
extracting
coastlines
based
scene
knowledge
map
(CSKG)
semantic
segmentation
review
serves
as
comprehensive
reference
future
development
pertaining
exploitation
management.
European Journal of Soil Science,
Journal Year:
2023,
Volume and Issue:
74(4)
Published: June 7, 2023
Abstract
Current
widespread
and
intensive
soil
degradation
in
India
has
been
driven
by
unprecedented
levels
of
population
growth,
large‐scale
industrialization,
high‐yield
agriculture,
urban
sprawl
the
spread
human
infrastructure.
The
damage
caused
to
managed
natural
systems
threatens
livelihoods
local
services
leads
national
socio‐economic
disruption.
Human‐induced
results
from
land
clearing
deforestation,
inappropriate
agricultural
practices,
improper
management
industrial
effluents
wastes,
careless
forests,
surface
mining,
sprawl,
ill‐planned
commercial
development.
Of
these,
including
excessive
tillage
use
heavy
machinery,
over‐grazing,
unbalanced
inorganic
fertilizers,
poor
irrigation
water
techniques,
pesticide
overuse,
inadequate
crop
residue
and/or
organic
carbon
inputs,
cycle
planning,
account
for
nearly
40%
(121
Mha)
across
India.
Globally,
activities
related
agriculture
contribute
transgression
four
nine
Planetary
Boundaries
proposed
Rockström
et
al.
(2009):
Climate
Change,
Biodiversity
Integrity,
Land‐system
altered
Phosphorus
Nitrogen
Biogeochemical
Flows.
This
review
focuses
on
how
knowledge
processes
developed
over
past
10
years,
potential
science
meet
objectives
United
Nations'
Sustainable
Development
Goal
2:
Zero
Hunger
(End
hunger,
achieve
food
security,
improved
nutrition
promote
sustainable
agriculture),
using
context
most
relevant
as
a
framework.
Solutions
mitigate
improve
health
different
regions
conservation
approaches
have
proposed.
Thus,
this
we
(1)
summarize
outputs
recent
innovative
research
that
explored
impacts
(Climate
Loss,
Flows
Nitrogen)
vice‐versa;
(2)
identify
gaps
require
urgent
attention
inform
developing
agendas
India,
advise
policy
makers,
support
those
whose
rely
land.
Progress in Disaster Science,
Journal Year:
2024,
Volume and Issue:
23, P. 100357 - 100357
Published: July 22, 2024
The
east
coast
of
India,
especially
the
coastal
region
Odisha,
is
highly
threatened
by
tropical
cyclones.
This
study
develops
a
detailed
risk
map
for
cyclones
in
districts
Odisha
at
micro
level,
focusing
on
assessment
factors
block
level.
Using
multi-criteria
decision
making
(MCDM)
approach,
considers
four
primary
components:
Exposure,
vulnerability,
susceptibility,
and
mitigation
options.
Explainable
Artificial
Intelligence
(XAI)
framework,
which
uses
XGBoost
model
conjunction
with
SHAP
values,
applied
to
identify
elucidate
influencing
levels
69
blocks.
Results
indicate
that
about
65%
area
high
cyclone,
northeastern
central
regions.
In
particular,
32
blocks
are
classified
as
very
high-risk
zones.
shows
contrast
levels,
northeast
southeast
higher
risk,
while
southern
regions
such
Ganjam
Puri
parts
Kendrapara
Baleswar
lower
risk.
findings
from
this
crucial
local
authorities
vulnerable
areas
improve
cyclone
preparedness
management
strategies
Odisha.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(5), P. 3992 - 3992
Published: Feb. 22, 2023
The
Northern
Indian
Ocean
(NIO)
is
one
of
the
most
vulnerable
coasts
to
tropical
cyclones
(TCs)
and
frequently
threatened
by
global
climate
change.
In
year
2020,
two
severe
formed
in
NIO
devastated
subcontinent.
Super
cyclone
Amphan,
which
Bay
Bengal
(BOB)
on
15
May
made
landfall
along
West
coast
with
a
wind
speed
above
85
knots
(155
km/h).
Nisarga
Arabian
Sea
(ARS)
1
June
2020
Maharashtra
60
(115
present
study
has
characterized
both
TCs
employing
past
cyclonic
events
(1982–2020),
satellite-derived
sea
surface
temperature
(SST),
direction,
rainfall
dataset,
regional
elevation.
Long-term
occurrences
revealed
that
encountered
higher
number
each
than
ARS.
Both
had
different
intensities
when
making
landfall;
however,
elevation
played
significant
role
controlling
associated
hazards.
mountain
topography
east
weakened
wind,
while
deltas
west
no
control
over
wind.
30
(56
km/h)
within
6
h
from
landfall,
Amphan
took
24
weaken
We
analyzed
precipitation
patterns
during
concluded
much
more
(1563
mm)
(684
mm).
Furthermore,
impact
land
use
cover
(LULC)
was
examined
relation
field.
field
damaged
363,837
km2
land,
whereas
affected
167,230
land.
This
research
can
aid
development
effective
preparedness
strategies
for
disaster
risk
reduction
impacts
India.