Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(21), P. 5432 - 5432
Published: Oct. 28, 2022
A
flash
flood
disaster
is
one
of
the
most
destructive
natural
disasters.
With
increase
in
extreme
rainfall
events,
more
and
areas
will
be
threatened
by
floods.
The
susceptibility
assessment
basis
risk
also
an
important
step
management.
Based
on
Citespace
analysis
tools,
this
study
made
a
bibliometric
visualized
305
documents
collected
core
collection
Web
Science
past
15
years,
including
number
publications
citation
frequency,
influence
analysis,
keyword
author
co-citation
institutional
co-operation
analysis.
This
paper
summarizes
current
research
status
future
development
trend
from
five
key
subfields,
scale,
unit,
index,
model,
model
method,
discusses
application
remote
sensing
GIS
assessment,
problems
encountered
provides
suggestions
for
hazard
control.
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
15(1), P. 192 - 192
Published: Dec. 29, 2022
Floods
are
one
of
the
most
destructive
natural
disasters,
causing
financial
and
human
losses
every
year.
As
a
result,
reliable
Flood
Susceptibility
Mapping
(FSM)
is
required
for
effective
flood
management
reducing
its
harmful
effects.
In
this
study,
new
machine
learning
model
based
on
Cascade
Forest
Model
(CFM)
was
developed
FSM.
Satellite
imagery,
historical
reports,
field
data
were
used
to
determine
flood-inundated
areas.
The
database
included
21
flood-conditioning
factors
obtained
from
different
sources.
performance
proposed
CFM
evaluated
over
two
study
areas,
results
compared
with
those
other
six
methods,
including
Support
Vector
Machine
(SVM),
Decision
Tree
(DT),
Random
(RF),
Deep
Neural
Network
(DNN),
Light
Gradient
Boosting
(LightGBM),
Extreme
(XGBoost),
Categorical
(CatBoost).
result
showed
produced
highest
accuracy
models
both
Overall
Accuracy
(AC),
Kappa
Coefficient
(KC),
Area
Under
Receiver
Operating
Characteristic
Curve
(AUC)
more
than
95%,
0.8,
0.95,
respectively.
Most
these
recognized
southwestern
part
Karun
basin,
northern
northwestern
regions
Gorganrud
basin
as
susceptible
Geomatics Natural Hazards and Risk,
Journal Year:
2022,
Volume and Issue:
13(1), P. 2183 - 2226
Published: Aug. 19, 2022
Floods
have
received
global
significance
in
contemporary
times
due
to
their
destructive
behavior,
which
may
wreak
tremendous
ruin
on
infrastructure
and
civilization.
The
present
research
employed
an
integration
of
the
Geographic
information
system
(GIS)
Analytical
Hierarchy
Process
(AHP)
method
for
identifying
flood
susceptibility
zonation
(FSZ),
vulnerability
(FVZ),
risk
(FRZ)
humid
subtropical
Uttar
Dinajpur
district
India.
study
combined
a
large
number
thematic
layers
(N
=
12
FSZ
N
9
FVZ)
achieve
reliable
accuracy
included
multicollinearity
analysis
these
variables
overcome
issues
related
highly
correlated
variables.
According
findings,
27.04,
15.62,
4.59%
area
were
classified
as
medium,
high,
very
high
FRZ,
respectively.
ROC-AUC,
MAE,
MSE,
RMSE
model
exhibited
good
prediction
0.73,
0.15,
0.16,
0.21,
performance
AHP
has
been
evaluated
using
sensitivity
analyses.
It
also
recommends
that
persistent
improvement
this
subject,
such
studies
modifying
criteria
thresholds,
changing
relative
criteria,
desired
matrix,
will
permit
GIS
MCDA
be
progressively
adapted
real
hazard-management
issues.
