Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China
Ocean & Coastal Management,
Год журнала:
2025,
Номер
262, С. 107576 - 107576
Опубликована: Фев. 12, 2025
Язык: Английский
Applications, Evolutions, and Challenges of Drones in Maritime Transport
Journal of Marine Science and Engineering,
Год журнала:
2023,
Номер
11(11), С. 2056 - 2056
Опубликована: Окт. 27, 2023
The
widespread
interest
in
using
drones
maritime
transport
has
rapidly
grown
alongside
the
development
of
unmanned
ships
and
drones.
To
stimulate
growth
address
associated
technical
challenges,
this
paper
systematically
reviews
relevant
research
progress,
classification,
applications,
possible
solutions
related
to
use
sector.
findings
provide
an
overview
state
art
applications
industry
over
past
20
years
identify
existing
problems
bottlenecks
field.
A
new
classification
scheme
is
established
based
on
their
flight
characteristics
aid
distinguishing
drones’
transport.
Further,
discusses
specific
cases
aspects
rescue,
safety,
navigation,
environment,
communication,
other
aspects,
providing
in-depth
guidance
future
different
mainstream
applications.
Lastly,
challenges
facing
these
are
identified,
corresponding
proposed
them.
This
offers
pivotal
insights
pertinent
knowledge
beneficial
various
entities
such
as
regulatory
bodies,
shipping
firms,
academic
institutions,
enterprises
engaged
drone
production.
makes
contributions
terms
comprehensive
analysis
discussion
application
provision
support
for
promoting
further
integration
with
intelligent
Язык: Английский
From Remote Sensing to Artificial Intelligence in Coral Reef Monitoring
Machines,
Год журнала:
2024,
Номер
12(10), С. 693 - 693
Опубликована: Окт. 1, 2024
This
review
comprehensively
covers
the
development
of
viable
unmanned
underwater
vehicles
based
on
their
technical
capabilities,
in
particular
those
designed
to
conduct
research
exploration
ecosystems
and
address
environmental
issues
through
analysis
coral
reef
vulnerability.
The
most
important
elements
be
obtained
are
situ
data
samples
for
characterization,
supported
by
molecular
biomarkers
marine
ecology
indicators.
following
aspects
considered
this
study:
first,
geographic
distribution
reefs
study
biological
approaches
detection
evaluate
vulnerability
detailed;
then,
technologies
currently
available
briefly
described,
ranging
from
large-scale
capture
local-scale
directly
region,
taking
advantage
remote
sensing
systems
assisted
aerial
technologies,
vehicles,
artificial
intelligence
mapping,
monitoring,
management
as
well
characterization
vulnerability;
this,
existing
vehicle
generally
explained,
including
a
categorical
description
an
updated
highlighted
list
innovative
robust
that
have
been
used
applications;
capabilities
such
throughout
missions
they
subjected
presented
bibliographic
references;
finally,
promotes
multidisciplinary
work
integrate
developments
associated
knowledge
areas
order
obtain
synergies
face
challenges
related
massive
scale
degradation
worldwide.
Язык: Английский
Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos
Juan Du,
Meiqin Huang,
Zhenjun Kang
и другие.
Frontiers in Marine Science,
Год журнала:
2025,
Номер
12
Опубликована: Март 5, 2025
Pile
culture
is
a
breeding
method
commonly
used
for
oyster
seedlings
in
the
intertidal
zone
of
southern
China.
Artificial
visual
interpretation
serves
as
primary
monitoring
approach
seedling
cultivation
marine
areas.
Manual
often
time-consuming,
inefficient,
and
does
not
provide
spatially
continuous
information
about
structure.
Consequently,
obtaining
data
on
pile
columns
areas
presents
certain
limitations.
This
study
focuses
Shajing
Town,
Qinzhou
City,
Guangxi
Zhuang
Autonomous
Region,
China,
its
research
area.
It
utilizes
multi-spectral
image
from
unmanned
aerial
vehicles
(UAVs),
light
detection
ranging
(LiDAR)
point
cloud
technology,
deep
learning
algorithms
to
extract
representative
Maowei
Sea
within
Beibu
Gulf.
By
employing
band
features
texture
indices
extracted
UAV’s
images
sources
combining
them
with
classification
prediction
model
based
convolutional
neural
networks
(CNN),
we
successfully
desired
columns.
The
results
demonstrate
that:
1)
comparing
three
machine
models
integrating
LiDAR
column
height
(OPCHM)
into
S3
scenario,
network
(CNN)
attains
an
impressive
overall
accuracy
(OA)
96.54%
Kappa
coefficient
0.9593,
significantly
enhancing
optimizing
CNN’s
predictive
tasks;
2)
In
comparison
conventional
algorithms,
exhibits
remarkable
feature
extraction
capability.
Язык: Английский
Dynamic monitoring of marine floating raft aquaculture in Jiangsu province based on multi-source SAR imagery
Frontiers in Marine Science,
Год журнала:
2025,
Номер
12
Опубликована: Май 9, 2025
Long-term
change
monitoring
of
marine
floating
raft
aquaculture
(MFRA)
in
Jiangsu
Province
is
urgently
needed
to
support
restructuring
and
protect
the
regional
environment.
Optical
remote
sensing
images
have
been
widely
used
extraction
MFRA
but
are
usually
limited
by
cloudy
rainy
weather
conditions.
Compared
with
optical
images,
Synthetic
Aperture
Radar
(SAR)
can
acquire
even
under
dense
cloud
cover,
offering
a
reliable
alternative.
However,
existing
studies
mainly
focused
on
geographic
areas
didn’t
consider
different
types
MFRA.
This
study
proposes
an
automatic
framework
for
based
multi-source
SAR
imagery.
To
achieve
better
MFRA,
two
key
enhancements
were
introduced.
First,
SDWI
SDRI
indices
utilized
effectively
differentiate
from
seawater.
Second,
deep
learning
termed
Boundary-Enhancing
Swin
Transformer
(BE-Swin)
was
developed
extracting
Results
showed
that
(1)
Combining
ALOS-1
Sentinel-1
data
enabled
mapping
long-term
dynamics
province,
China.
(2)
other
neural
network
models,
BE-Swin
model
improved
accuracy
incorporating
3
modules
within
Transformer.
The
enhances
boundary
extraction,
reducing
errors,
omissions,
adhesion
issues.
(3)
distributed
Haizhou
Bay
Lianyungang,
radial
ridge
group
region
Yancheng,
northern
coast
Nantong.
From
2008
2022,
coastal
experienced
rapid
expansion
followed
gradual
contraction.
(4)
be
categorized
into
three
types,
pole-pixed,
semi-floating,
full-floating
aquaculture.
area
pole-fixed
steadily
increased,
reaching
171.38
km
2
2022.
Semi-floating
peaked
at
318.36
2015
reduced
nearly
half
Full-floating
initially
absent
has
shown
trend
toward
large-scale
adoption,
78.42
Язык: Английский
Intelligent Evaluation and Dynamic Prediction of Oysters Freshness with Electronic Nose Non-Destructive Monitoring and Machine Learning
Biosensors,
Год журнала:
2024,
Номер
14(10), С. 502 - 502
Опубликована: Окт. 14, 2024
Physiological
and
environmental
fluctuations
in
the
oyster
cold
chain
can
lead
to
quality
deterioration,
highlighting
importance
of
monitoring
evaluating
freshness.
In
this
study,
an
electronic
nose
was
developed
using
ten
partially
selective
metal
oxide-based
gas
sensors
for
rapid
freshness
assessment.
Simultaneous
analyses,
including
GC-MS,
TVBN,
microorganism,
texture,
sensory
evaluations,
were
conducted
assess
status
oysters.
Real-time
measurements
taken
at
various
storage
temperatures
(4
°C,
12
20
28
°C)
thoroughly
investigate
changes
under
different
conditions.
Principal
component
analysis
utilized
reduce
10-dimensional
vectors
3-dimensional
vectors,
enabling
clustering
samples
into
fresh,
sub-fresh,
decayed
categories.
A
GA-BP
neural
network
model
based
on
these
three
classes
achieved
a
test
data
accuracy
rate
exceeding
93%.
Expert
input
solicited
performance
optimization
suggestions
enhanced
efficiency
applicability
established
prediction
system.
The
results
demonstrate
that
combining
with
indices
is
effective
approach
diagnosing
spoilage
mitigating
safety
risks
industry.
Язык: Английский
The application of unoccupied aerial systems (UAS) for monitoring intertidal oyster density and abundance
Remote Sensing in Ecology and Conservation,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 13, 2024
Abstract
The
eastern
oyster
(
Crassostrea
virginica
)
is
a
coastal
foundation
species
currently
under
threat
from
anthropogenic
activities
both
globally
and
in
the
Apalachicola
Bay
region
of
north
Florida.
Oysters
provide
numerous
ecosystem
services,
it
important
to
establish
efficient
reliable
methods
for
their
effective
monitoring
management.
Traditional
techniques,
such
as
quadrat
density
sampling,
can
be
labor‐intensive,
destructive
oysters
reefs,
may
spatially
limited.
In
this
study,
we
demonstrate
how
unoccupied
aerial
systems
(UAS)
used
efficiently
generate
high‐resolution
geospatial
reef
condition
data
over
large
areas.
These
data,
with
appropriate
ground
truthing
minimal
effectively
monitor
size
abundance
clusters
on
intertidal
reefs.
Utilizing
structure‐from‐motion
photogrammetry
techniques
create
three‐dimensional
topographic
models,
reconstructed
distribution,
spatial
reefs
Bay.
Ground
revealed
97%
accuracy
cluster
presence
detection
by
UAS
products
confirmed
that
live
are
predominately
located
within
clusters,
supporting
use
features
estimate
population
status.
We
found
positive
significant
relationship
between
counts.
findings
allowed
us
extract
predict
138
covering
382
m
2
two
locations.
Oyster
densities
varied
sites,
higher
occurring
at
one
site
bounds,
lower
areas
adjacent
Repeated
2022
2023
relatively
stable
time.
This
study
demonstrated
successful
application
drone
imagery
combined
providing
repeatable
method
mapping
inform
conservation,
restoration
management
strategies
populations.
Язык: Английский
Assessing intertidal sediment photopigment content from spectral reflectance with an UAV-mounted 10-band multispectral sensor
Remote Sensing Letters,
Год журнала:
2024,
Номер
16(2), С. 109 - 124
Опубликована: Дек. 16, 2024
Multispectral
sensors
mounted
to
unoccupied
aerial
vehicles
(UAVs)
can
be
leveraged
quantify
microphytobenthos
(MPB)
biomass
in
intertidal
mudflats,
providing
data
products
with
cm-scale
pixels.
However,
no
standard
protocol
currently
exists
for
calibrating
UAV-acquired
spectral
information
sediment
MPB
content.
Here,
we
present
a
new
from
UAV-mounted
multispectral
sensor
as
measured
by
photopigment
To
do
so,
developed
methodology
acquiring
and
analyzing
UAV
imagery
field
data.
We
then
implemented
the
Fraser
River
Estuary,
Canada
build
statistically
valid
calibration
equation,
testing
effectiveness
of
several
indices
measurements.
Calibrated
index
values
provide
very
accurate
measurement
biomass,
able
achieve
90
%
correlation
between
normalized
difference
vegetation
(NDVI)
chlorophyl-a
(chl-a)
concentration.
This
high
performance
was
achieved
closely
pairing
georeferenced
samples
corresponding
minimizing
lag
sample
collection
acquisition.
facilitate
use
calibrated
investigating
ecologically-important
fine-scale
spatial
heterogeneity
biomass.
Язык: Английский
Evaluating the Impact of Engineering Works in Megatidal Areas Using Satellite Images—Case of the Mont-Saint-Michel Bay, France
GeoHazards,
Год журнала:
2023,
Номер
4(4), С. 453 - 474
Опубликована: Ноя. 10, 2023
The
Mont-Saint-Michel
is
known
worldwide
for
its
unique
combination
of
the
natural
site
and
Medieval
abbey
at
top
rocky
islet.
But
Mont
also
located
within
an
estuarine
complex,
which
considerably
silting
up.
For
two
decades,
large-scale
works
were
planned
to
prevent
from
being
surrounded
by
expanding
salt
meadows.
construction
a
new
dam
over
Couesnon
River,
digging
channels,
destruction
causeway
main
operations
carried
out
between
2007
2015.
remote
sensing
approach
fully
suitable
evaluating
real
impact
engineering
project,
particularly
expected
hydrosedimentary
effects
reestablishing
maritime
landscape
around
Mont.
migration
different
channels
erosion-progradation
balance
vegetation
through
space
time
are
features
study.
Between
2023,
erosion
meadows
was
significant
south-west
but
more
limited
south-east.
During
same
period,
sedimentation
increased
north-east
Bay,
seems
be
facing
silting-up
problem.
At
this
stage,
remote-sensing
survey
indicates
mixed
results
project.
Язык: Английский