Ecological Management & Restoration,
Journal Year:
2021,
Volume and Issue:
22(S1), P. 75 - 89
Published: Nov. 1, 2021
Summary
Every
macropod
population
is
unique
in
terms
of
the
combination
species,
site
and
management
goals,
so
there
no
universal
‘best’
method
for
surveying
populations.
We
distinguish
between
different
measures
abundance
confidence
a
manager
can
place
them.
examine
separate
components
survey
methods:
platform,
mode
detection
form
sampling.
also
review
range
current
methods
available
highlight
new
developments,
including
their
assumptions
limitations.
To
guide
managers
choosing
context,
we
provide
decision
matrix
based
on
behavioural
ecology
target
structure
habitat
at
porosity
boundary.
promote
best
practice,
describe
detail
four
standard
counting
direct
count,
sweep
faecal
accumulation
rate
distance
Drones,
Journal Year:
2022,
Volume and Issue:
6(9), P. 255 - 255
Published: Sept. 15, 2022
Estimating
seabird
and
pinniped
abundance
is
central
to
wildlife
management
ecosystem
monitoring
in
Antarctica.
Unoccupied
aerial
systems
(UAS)
can
collect
images
support
monitoring,
but
manual
image
analysis
often
impractical.
Automating
target
detection
using
deep
learning
techniques
may
improve
data
acquisition,
different
sensors
affect
detectability
model
performance.
We
compared
the
performance
of
automated
models
based
on
infrared
(IR)
or
color
(RGB)
tested
whether
IR
images,
training
that
included
annotations
non-target
features,
improved
For
this
assessment,
we
collected
paired
RGB
nesting
penguins
(Pygoscelis
spp.)
aggregations
Antarctic
fur
seals
(Arctocephalus
gazella)
with
a
small
UAS
at
Cape
Shirreff,
Livingston
Island
(60.79
°W,
62.46
°S).
trained
seven
independent
classification
Video
Image
Analytics
for
Marine
Environments
(VIAME)
software
created
an
open-access
R
tool,
vvipr,
standardize
assessment
VIAME-based
found
addition
had
no
clear
benefits
given
available
data.
Nonetheless,
generally
high
penguin
provided
encouraging
results
further
improving
from
surveys.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(17), P. 5659 - 5659
Published: Aug. 30, 2024
Geoffroy's
spider
monkeys,
an
endangered,
fast-moving
arboreal
primate
species
with
a
large
home
range
and
high
degree
of
fission-fusion
dynamics,
are
challenging
to
survey
in
their
natural
habitats.
Our
objective
was
evaluate
how
different
flight
parameters
affect
the
detectability
monkeys
videos
recorded
by
drone
equipped
thermal
infrared
camera
examine
level
agreement
between
coders.
We
used
generalized
linear
mixed
models
impact
speed
(2,
4,
6
m/s),
height
(40,
50
m
above
ground
level),
angle
(-45°,
-90°)
on
monkey
counts
closed-canopy
forest
Yucatan
Peninsula,
Mexico.
results
indicate
that
none
three
affected
number
detected
monkeys.
Agreement
coders
"substantial"
(Fleiss'
kappa
coefficient
=
0.61-0.80)
most
cases
for
thermal-contrast
zones.
study
contributes
development
standardized
protocols,
which
essential
obtain
accurate
data
presence
abundance
wild
populations.
Based
our
results,
we
recommend
performing
surveys
other
medium-sized
mammals
small
commercial
at
4
m/s
speed,
15
canopy
height,
-90°
angle.
However,
these
recommendations
may
vary
depending
size
noise
produced
model.
Remote Sensing in Ecology and Conservation,
Journal Year:
2022,
Volume and Issue:
9(2), P. 222 - 234
Published: Sept. 27, 2022
Abstract
Aerial
vehicles
equipped
with
infrared
thermal
sensors
facilitate
quick
density
estimates
of
wildlife,
but
detection
error
can
arise
from
the
sensor
and
viewer
video.
We
reviewed
published
research
to
determine
how
commonly
these
sources
have
been
assessed
in
studies
using
video
aerial
platforms
sample
wildlife.
The
number
annual
articles
pertaining
sampling
thermography
has
increased
drastically
since
2018,
past
inconsistently
imperfect
detection.
illustrate
importance
accounting
for
some
types
a
case
study
on
white‐tailed
deer
Odocoileus
virginianus
Indiana,
USA,
simple
double‐observer
approach.
In
our
study,
we
found
evidence
false
negatives
associated
Additionally,
that
concordance
between
detections
two
viewers
when
red‐green‐blue
camera
paired
sensor,
altitude
decreased
more
stringent
criteria
were
used
classify
signatures
as
deer.
encourage
future
managers
ecologists
recording
use
methods
account
viewer‐induced
is
manually
viewed
by
humans.
also
recommend
combining
reduce
positives,
applying
verification
standards
collecting
data
at
lower
altitudes
over
snow
needed.
Drones
equipped
with
thermal
cameras
have
recently
become
readily
available,
broadening
the
possibilities
for
monitoring
wildlife.
The
European
hare
(Lepus
europaeus)
is
a
nocturnal
mammal
that
closely
monitored
in
Denmark
due
to
populations
declining
since
mid-1900s.
limitations
of
current
population
assessment
methods,
such
as
spotlight
counts
and
hunting
game
statistics,
could
be
overcome
by
relying
on
drone
surveys
imaging
counts.
aim
this
study
was
investigate
use
DJI
Mavic
2
Enterprise
Advanced
tool
Danish
population.
Multiple
test
flights
were
conducted
over
agricultural
areas
spring
2022,
testing
various
flight
altitudes,
camera
settings,
recording
methods.
used
suggest
method
identifying
counting
hare.
applied
methodology
then
evaluated
through
case
survey
had
an
area
242
ha.
Hare
detected
at
altitudes
up
80
m
it
possible
fly
low
40
without
observing
direct
behavior
changes.
Thermal
images
taken
these
also
provided
enough
detail
differentiate
between
species
animal
body
size
proved
good
indicator.
confirmed
based
identify
conduct
counts,
thus,
indicating
suggested
viable
alternative
traditional
Animals,
Journal Year:
2023,
Volume and Issue:
13(12), P. 1911 - 1911
Published: June 8, 2023
Unmanned
aerial
vehicles
(drones)
have
recently
been
used
in
various
behavioral
ecology
studies.
However,
their
application
has
limited
to
single
groups,
and
most
studies
not
implemented
individual
identification.
A
multilevel
society
refers
a
social
structure
which
small
stable
“core
units”
gather
make
larger,
multiple-unit
group.
Here,
we
introduce
recent
applications
of
drone
technology
identification
complex
structures
involving
multiple
such
as
societies.
Drones
made
it
possible
obtain
the
identification,
accurate
positioning,
or
movement
more
than
hundred
individuals
In
addition,
drones
facilitate
observation
heterogeneous
spatial
positioning
patterns
mechanisms
propagation,
are
different
from
those
single-level
Such
findings
may
contribute
quantitative
definition
assessment
societies
enhance
our
understanding
group
aggregation.
The
species
resolve
questions
related
Landscape Ecology,
Journal Year:
2024,
Volume and Issue:
39(8)
Published: July 22, 2024
Abstract
Context
Understanding
the
movement
of
bioaerosols,
such
as
spores
and
pollen,
through
atmosphere
is
important
for
a
broad
spectrum
landscape
research,
including
agricultural
fungal
outbreaks
pollen
threats
to
public
health.
As
can
be
transported
in
air
over
large
distances,
use
aircraft
has
historically
played
role
detecting
mapping
their
presence
lower
atmosphere.
Objectives
We
present
simple
alternative
costly
specialized
associated
equipment
that
are
typically
used
study
Methods
3D
printable
components
common
lab
supplies
mounted
on
an
uncrewed
(UA).
Conveniently,
this
setup
does
not
require
additional
electronic
control
collection
during
flight,
using
UA
landing
gear
mechanism
instead.
Results
demonstrate
apparatus
collect
describe
potential
impacts
by
environment
experimental
protocol
efficiency.
These
include
effects
of:
(1)
competing
airflows
from
rotors,
flight
trajectories,
wind,
(2)
altitude,
(3)
particle
size
Petri
dish
medium.
Conclusions
Complex
biological
mechanisms
atmospheric
dynamics
dictate
release,
transport,
deposition
bioaerosols.
Economical
methods
sample
bioaerosols
increase
amount
type
data
collected
unlock
new
understanding.
The
methodology
presented
here
provides
economical
method
help
improve
landscape-level
understanding
dispersal
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 14, 2024
Thermal
Infrared
(TIR)
drones
are
emerging
as
effective
tools
for
wildlife
ecology
monitoring
and
increasingly
employed
in
primate
surveys.
However,
systematic
methods
assessing
detectability
lacking.
We
present
a
comprehensive
approach
utilizing
novel
Detection
Index
(TDI)
to
evaluate
the
potential
of
TIR
monitoring.
developed
TDIs
389
species,
considering
activity
patterns,
locomotion
types,
body
mass,
densities,
habitat
utilization,
sleeping
behaviors
during
diurnal
nocturnal
Through
integration
with
primates'
distribution
climatic
variables
(average
annual
temperature,
precipitation,
wind
speed),
we
established
Global
TDI
Suitability
Score
aimed
at
pinpointing
species
regions
most
compatible
drone-based
Atelidae,
Cercopithecidae,
Indridae
showed
highest
values,
suggesting
their
suitability
TIR-drone
identified
optimal
Africa,
Asia
Latin
America
drones,
driven
by
favorable
ecological
conditions,
high
diversity.
local
factors
regulatory
frameworks
also
influence
drone
survey
feasibility,
necessitating
careful
consideration
prior
implementation.
Overall,
our
study
provides
valuable
framework
prioritizing
monitoring,
facilitating
targeted
conservation
efforts
advancing
research.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 33 - 54
Published: Dec. 13, 2024
This
chapter
explores
the
synergistic
integration
of
internet
things
(IoT)
with
robotics
and
drones,
highlighting
how
this
convergence
is
revolutionizing
industrial
operations
capabilities.
It
delves
into
mechanisms
through
which
IoT
devices
sensors
enhance
autonomy,
efficiency,
intelligence
robotic
systems
enabling
real-time
data
exchange
analysis.
The
discusses
implementation
for
advanced
monitoring,
predictive
maintenance,
seamless
operational
control,
illustrating
its
impact
practical
examples
across
various
sectors.
also
addresses
challenges
scalability,
security,
interoperability,
presenting
forward-looking
strategies
to
navigate
these
hurdles.
By
emphasizing
transformative
potential
in
augmenting
capabilities
underscores
pivotal
role
driving
innovation
excellence
digital
age.
Wildlife Research,
Journal Year:
2021,
Volume and Issue:
48(7), P. 625 - 634
Published: June 18, 2021
Context
The
development
of
reliable
and
cost-efficient
survey
techniques
is
key
to
the
monitoring
all
wildlife.
One
group
species
that
presents
particular
challenges
for
arboreal
mammals.
Traditional
detecting
these
often
yield
low
detection
probabilities
(detectability)
are
time-consuming,
suggesting
potential
novel
methods
enhance
our
understanding
their
distribution,
abundance
population
trajectories.
technique
has
been
shown
increase
detectability
in
a
range
terrestrial
thermal
imaging,
although
it
rarely
applied
species.
true
conservation
status
Lumholtz’s
tree-kangaroo
(Dendrolagus
lumholtzi)
uncertain
because
under
typical
techniques,
more
suitable
method
required
enable
effective
species,
making
an
ideal
candidate
present
study.
Aims
We
aimed
compare
success
cost-effectiveness
surveys
utilising
imaging
with
two
traditional
methods,
namely,
spotlighting
daytime
surveys,
so
as
optimise
D.
lumholtzi.
Methods
conducted
at
10
sites
Queensland
(Australia)
where
lumholtzi
was
known
occur,
by
using
each
method,
modelled
both
technique.
Key
results
Detectability
significantly
higher
use
than
other
cost-effective.
In
average
conditions
trained
observer,
single-visit
estimated
0.28
[0.04,
0.79]
transect
through
rainforest,
imaging.
Using
only
spotlights,
probability
0.03
[0,
0.28]
same
conditions.
Conclusions
These
show
incorporating
technology
into
will
greatly
lumholtzi,
cryptic
mammal.
Implications
Our
study
highlighted
utility
difficult-to-detect
complex
habitats,
including
exist
mainly
dense
forest
canopy.