EarthArXiv (California Digital Library),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 17, 2024
Floods
rank
among
the
most
devastating
natural
hazards
globally.
Unlike
many
other
calamities,
floods
typically
occur
in
densely
populated
regions,
resulting
immediate
and
long-term
adverse
impacts
on
communities,
including
fatalities,
injuries,
health
risks,
significant
economic
environmental
losses
annually.
Traditional
flood
models,
while
useful,
are
constrained
by
simplifying
assumptions,
numerical
approximations,
a
lack
of
sufficient
data
for
accurate
simulations.
Recent
advancements
data-efficient
Digital
Elevation
Model
(DEM)
Terrain
(DTM)
based
models
show
promise
overcoming
some
these
limitations.
However,
models'
reliance
DEM
or
DTM
renders
them
sensitive
to
dynamic
nature
Earth's
surface.
This
study
investigates
effectiveness
remote
sensing
imagery
inundation
mapping,
focusing
role
high-resolution
commercial
optical
PlanetScope
images
data-limited
scenarios.
To
address
early-stage
reflectance
issues
attributed
on-board
calibration
constellations,
we
introduced
novel
post-processing
workflow,
Quantile-based
Filling
Refining
(QFR).
Our
results
indicate
that
initial
extent
maps
produced
using
widely
adopted
Normalized
Difference
Water
Index
(NDWI)
were
inferior
manual
delineations
comparable
those
generated
only
Near-Infrared
(NIR)
band,
which
also
suffers
from
flaws.
NIR
band
processed
with
QFR
significantly
outperformed
delineations.
research
demonstrates
potential
precise
particularly
at
smaller
scales,
such
as
urban
areas.
Additionally,
it
underscores
workflow's
enhancing
prediction
accuracy,
offering
streamlined
scalable
method
improving
modeling
outcomes.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(2)
Published: Feb. 1, 2025
Abstract
The
occurrence
frequency
and
catastrophe
caused
by
flooding
are
increasing
rapidly,
highlighting
the
importance
of
real‐time
impact‐based
forecasting.
However,
traditional
approaches
primarily
based
on
hydrodynamic
models
need
large
computational
cost
generally
fail
to
achieve
flood
mapping,
especially
for
large‐scale
watersheds.
In
this
work,
a
novel,
simple
convenient
approach
called
Topography‐based
Flood
Inundation
Mapping
(TOPFIM)
is
developed
rapid
accurate
mapping.
TOPFIM
characterized
an
adaptive
river
segmentation
method
dynamic
inundation
volume
allocation
adhering
full
water
constraint.
proposed
applied
upper
reaches
Le'an
River
basin,
China,
HEC‐RAS
employed
as
benchmark
comparison.
results
demonstrate
that
TOPFIM's
simulation
accuracy
extent
models,
with
averaged
critical
success
index
0.83
hit
rate
0.90
compared
HEC‐RAS's
simulation.
Moreover,
generates
mapping
prediction
within
10
s
rather
than
hours
required
conventional
models.
It
signifies
pivotal
practical
enhancement
has
potential
effectively
preserve
lives
protect
assets
in
times
emergencies.
Overall,
tool,
demonstrates
its
risk
analysis.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(6), P. 1287 - 1315
Published: March 22, 2024
Abstract.
Given
the
availability
of
high-quality
and
high-spatial-resolution
digital
elevation
maps
(DEMs)
from
United
States
Geological
Survey's
3D
Elevation
Program
(3DEP),
derived
mostly
light
detection
ranging
(lidar)
sensors,
we
examined
effects
these
DEMs
at
various
spatial
resolutions
on
quality
flood
inundation
map
(FIM)
extents
a
terrain
index
known
as
Height
Above
Nearest
Drainage
(HAND).
We
found
that
using
improved
resulting
FIM
around
80
%
catchments
analyzed
when
compared
to
National
Hydrography
Dataset
Plus
High
Resolution
(NHDPlusHR)
program.
Additionally,
varied
resolution
3DEP
3,
5,
10,
15,
20
m
(meters),
results
showed
no
significant
overall
effect
extent
across
resolutions.
However,
further
analysis
coarser
60
90
revealed
degradation
in
skill,
highlighting
limitations
extremely
coarse-resolution
DEMs.
Our
experiments
demonstrated
burden
terms
computational
time
required
produce
HAND
related
data
finer
fit
multiple
linear
regression
model
help
explain
catchment-scale
variations
four
metrics
employed
lack
reservoir
flooding
or
upstream
river
retention
systems
was
factor
our
analysis.
For
validation,
used
Interagency
Flood
Risk
Management
(InFRM)
Base
Level
Engineering
(BLE)-produced
streamflows
100-
500-year
event
magnitudes
sub-region
eastern
Texas.
