Coral Reefs,
Journal Year:
2021,
Volume and Issue:
40(3), P. 835 - 851
Published: May 3, 2021
Abstract
Reconstructing
the
topography
of
shallow
underwater
environments
using
Structure-from-Motion—Multi
View
Stereo
(SfM-MVS)
techniques
applied
to
aerial
imagery
from
Unmanned
Aerial
Vehicles
(UAVs)
is
challenging,
as
it
involves
nonlinear
distortions
caused
by
water
refraction.
This
study
presents
an
experiment
with
photographs
collected
a
consumer-grade
UAV
on
shallow-water
reef
Fuvahmulah,
Maldives.
Under
conditions
rising
tide,
we
surveyed
same
portion
in
ten
successive
flights.
For
each
flight,
used
SfM-MVS
reconstruct
Digital
Elevation
Model
(DEM)
and
flight
at
low
tide
(where
almost
entirely
dry)
compare
performance
DEM
reconstruction
under
increasing
levels.
Our
results
show
that
differences
reference
increase
depth,
but
are
substantially
larger
if
no
ground
control
points
taken
into
account
processing.
Correcting
our
algorithms
for
refraction
did
not
improve
overall
accuracy
reconstruction.
We
conclude
reconstructing
reefs
(less
than
1
m
depth)
UAVs
possible,
its
precision
limited
strongly
correlated
depth.
In
case,
best
achieved
when
were
placed
correction
used.
Environmental Research Letters,
Journal Year:
2020,
Volume and Issue:
15(7), P. 074041 - 074041
Published: March 5, 2020
Abstract
Seagrass
meadows
globally
are
under
pressure
with
worldwide
loss
and
degradation,
but
there
is
a
growing
recognition
of
the
global
importance
seagrass
ecosystem
services,
particularly
as
major
carbon
sink
fisheries
habitat.
Estimates
spatial
distribution
differ
greatly
throughout
published
literature,
ranging
from
177
000
to
600
km
2
models
suggesting
potential
an
order
magnitude
higher.
The
requirements
Paris
Climate
Agreement
by
outlining
National
Determined
Contributions
(NDC’s)
reduce
emissions
placing
increased
focus
on
extent,
restoration
meadows.
Now
more
than
ever
need
provide
accurate
consistent
measure
seagrass.
There
also
be
able
assess
spread
other
services
in
their
extension,
values
these
services.
In
this
study,
rationalising
updating
range
existing
datasets
around
globe,
we
have
estimated
Moderate
High
confidence
area
date
160
387
,
possibly
266
562
lower
confidence.
We
break
estimate
down
national
level
detailed
analysis
current
state
mapped
estimates
per
country.
Accurate
estimates,
however,
challenged
large
areas
remaining
unmapped
inconsistent
measures
being
used.
Through
examination
maps,
propose
pathway
forward
for
improving
mapping
important
resource.
More
#seagrass
distribution,
critical
assessing
trends
Human-centric Computing and Information Sciences,
Journal Year:
2020,
Volume and Issue:
10(1)
Published: Dec. 1, 2020
Abstract
The
sixth-generation
(6G)
wireless
communication
network
is
expected
to
integrate
the
terrestrial,
aerial,
and
maritime
communications
into
a
robust
which
would
be
more
reliable,
fast,
can
support
massive
number
of
devices
with
ultra-low
latency
requirements.
researchers
around
globe
are
proposing
cutting
edge
technologies
such
as
artificial
intelligence
(AI)/machine
learning
(ML),
quantum
communication/quantum
machine
(QML),
blockchain,
tera-Hertz
millimeter
waves
communication,
tactile
Internet,
non-orthogonal
multiple
access
(NOMA),
small
cells
fog/edge
computing,
etc.,
key
in
realization
beyond
5G
(B5G)
6G
communications.
In
this
article,
we
provide
detailed
overview
dimensions
air
interface
associated
potential
technologies.
More
specifically,
highlight
use
cases
applications
proposed
networks
various
dimensions.
Furthermore,
also
discuss
performance
indicators
(KPI)
for
B5G/6G
network,
challenges,
future
research
opportunities
domain.
Drones,
Journal Year:
2021,
Volume and Issue:
5(1), P. 8 - 8
Published: Jan. 21, 2021
Over
the
past
decade,
drones
have
become
a
popular
tool
for
wildlife
management
and
research.
Drones
shown
significant
value
animals
that
were
often
difficult
or
dangerous
to
study
using
traditional
survey
methods.
In
five
years
drone
technology
has
commonplace
shark
research
with
their
use
above,
more
recently,
below
water
helping
minimise
knowledge
gaps
about
these
cryptic
species.
enhanced
our
understanding
of
behaviour
are
critically
important
tools,
not
only
due
importance
conservation
in
ecosystem,
but
also
help
encounters
humans.
To
provide
some
guidance
future
relation
sharks,
this
review
provides
an
overview
how
currently
used
critical
context
monitoring.
We
show
been
fill
around
fundamental
behaviours
movements,
social
interactions,
predation
across
multiple
species
scenarios.
further
detail
advancement
sensors,
automation,
artificial
intelligence
improving
abilities
data
collection
analysis
opening
opportunities
shark-related
beach
safety.
An
investigation
shark-based
potential
underwater
(ROV/AUV)
is
provided.
Finally,
baseline
observations
pioneered
recommendations
might
be
enhance
future.
Reviews in Aquaculture,
Journal Year:
2022,
Volume and Issue:
15(2), P. 409 - 433
Published: Aug. 16, 2022
Abstract
The
ocean
is
an
important
ecosystem,
and
aquatic
animals
play
role
in
the
biological
world,
especially
aquaculture.
How
to
accurately
intelligently
recognise
detect
one
of
urgent
problems
field
underwater
detection.
wide
applications
artificial
intelligence
(AI),
deep
learning
(DL),
provide
new
opportunities
challenges
for
efficient
intelligent
exploration
animals.
DL
has
been
widely
used
visual
recognition
detection
terrestrial
animals,
but
it
early
stages
use
due
complexity
environment
difficulty
data
acquisition.
Here,
this
article
reviews
current
application
status
potential
future
directions.
key
advances
algorithms
applied
are
generalised,
including
datasets,
performance.
summarised
image
detection,
video
species
classification,
biomass
estimation,
behaviour
analysis
food
safety.
Furthermore,
summed
up
classified
object
domain
Finally,
further
research
direction
discussed
conclusions
drawn.
will
help
excavate
extend
marine
exploration.
Remote Sensing,
Journal Year:
2019,
Volume and Issue:
11(17), P. 2045 - 2045
Published: Aug. 30, 2019
Plastic
debris
has
become
an
abundant
pollutant
in
marine,
coastal
and
riverine
environments,
posing
a
large
threat
to
aquatic
life.
Effective
measures
mitigate
prevent
marine
plastic
pollution
require
thorough
understanding
of
its
origin
eventual
fate.
Several
models
have
estimated
that
land-based
sources
are
the
main
source
pollution,
although
field
data
substantiate
these
estimates
remain
limited.
Current
methodologies
measure
transport
availability
infrastructure
accessible
riverbanks,
but,
obtain
measurements
on
higher
spatial
temporal
scale,
new
monitoring
methods
required.
This
paper
presents
methodology
for
quantifying
using
Unmanned
Aerial
Vehicles
(UAVs),
including
first
application
Klang
River,
Malaysia.
Additional
were
done
parallel
with
UAV-based
approach
make
comparisons
between
two
methods.
The
spatiotemporal
distribution
plastics
obtained
both
show
similar
patterns
variations.
With
this,
we
promising
alternative
currently
available
approaches
transport,
especially
remote
inaccessible
areas.
Drones,
Journal Year:
2020,
Volume and Issue:
4(4), P. 64 - 64
Published: Sept. 25, 2020
The
use
of
drones
to
study
marine
animals
shows
promise
for
the
examination
numerous
aspects
their
ecology,
behaviour,
health
and
movement
patterns.
However,
responses
some
phyla
presence
varies
broadly,
as
do
general
operational
protocols
used
them.
Inconsistent
methodological
approaches
could
lead
difficulties
comparing
studies
can
call
into
question
repeatability
research.
This
review
draws
on
current
literature
researchers
with
a
wealth
practical
experience
outline
idiosyncrasies
studying
various
taxa
drones.
We
also
best
practice
drone
operation
in
environments
based
our
field.
outlined
herein
will
be
interested
incorporating
tool
research
help
form
consistent
drone-based
future.
Geo-Marine Letters,
Journal Year:
2020,
Volume and Issue:
40(2), P. 255 - 268
Published: Jan. 23, 2020
Abstract
Beaches
are
characterized
by
high
morphodynamic
activity,
and
high-frequency
measurements
needed
to
understand
their
states
rates
of
change.
Ideally,
beach
survey
methods
should
be
at
once
accurate,
rapid
low-cost.
Recently,
unmanned
aerial
systems
(drones)
have
been
increasingly
utilized
measure
topography.
In
this
paper,
we
present
a
review
the
state
art
in
drones
photogrammetry
for
surveys
respective
achieved
measurement
quality
(where
reported).
We
then
show
how
with
minimal
configuration
low-cost
setup
can
meet
accuracy
rapidity
required
surveys.
To
test
drone
ground
control
point
configuration,
used
consumer-grade
equipment
perform
same
flight
path
different
cameras
altitudes.
produce
digital
elevation
models
beach.
Using
GNSS-RTK
system,
collected
2950
independent
points
evaluate
models.
Results
that,
few
potential
sources
uncertainties
final
model
taken
into
account,
average
RMSE(z)
was
~5
cm,
efficiency
ca.
3
m
2
min
−1
.
Digital
times
were
calculate
before–after
sediment
budget
following
storm
that
hit
sandy
coast
Sylt
Island
German
North
Sea
coast.
Marine and Freshwater Research,
Journal Year:
2019,
Volume and Issue:
71(1), P. 68 - 68
Published: Jan. 21, 2019
The
turbulent
waters
off
ocean
beaches
provide
habitat
for
large
marine
fauna,
including
dolphins,
sharks,
rays,
turtles
and
game
fish.
Although,
historically,
these
assemblages
have
proven
difficult
to
quantify,
we
used
a
new
drone-based
approach
assess
spatial
temporal
variation
in
of
fauna
four
exposed
New
South
Wales,
Australia.
In
total,
4388
individual
animals
were
identified
from
216
drone
flights.
most
common
taxa,
bottlenose
dolphins
(Tursiops
spp.)
Australian
cownose
rays
(Rhinoptera
neglecta),
occurred
25.5
19.9%
flights
respectively.
White
(Carcharodon
carcharias),
bull
(Carcharhinus
leucas)
other
whaler
sharks
observed
<1%
There
was
significant
the
structure
among
beaches,
with
those
adjacent
riverine
estuaries
having
greater
richness
abundance
wildlife.
Overall,
surveys
successful
documenting
spatio-temporal
dynamics
an
impressive
suite
fauna.
We
contend
that
emerging
technology
can
make
valuable
contribution
ecological
information
required
ensure
long-term
sustainability
sandy-beach
ecosystems
associated