Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(23), P. 4560 - 4560
Published: Dec. 5, 2024
Terrestrial
laser
scanning
(TLS)
provides
highly
detailed
3D
information
of
forest
environments
but
is
limited
to
small
spatial
scales,
as
data
collection
time
consuming
compared
other
remote
sensing
techniques.
Furthermore,
TLS
heavily
dependent
on
wind
conditions,
the
movement
trees
negatively
impacts
acquired
data.
Hardware
advancements
resulting
in
faster
acquisition
times
have
potential
be
valuable
upscaling
efforts
might
impact
overall
quality.
In
this
study,
we
investigated
pulse
repetition
rate
(PRR),
or
frequency,
which
number
pulses
emitted
per
second
by
scanner.
Increasing
PRR
reduces
scan
required
for
a
single
decreases
power
(amplitude)
commensurately.
This
trade-off
could
potentially
quality
We
used
RIEGL
VZ400i
scanner
test
different
settings
point
cloud
and
derived
tree
structural
metrics
from
individual
clouds
(diameter,
height,
crown
projected
area)
well
quantitative
structure
models
(total
branch
length,
volume).
across
five
field
plots
complexity
canopy
density
three
(300,
600
1200
kHz).
The
was
180,
90
45
s
300,
kHz,
respectively.
Differences
among
raw
scans
replicates
were
largely
removed
several
necessary
processing
steps,
notably
removal
uncertain
points
with
low
reflectance
attribute.
found
strong
agreement
between
each
replicates,
independent
complexity.
case
both
cloud-based
those
(QSMs).
results
demonstrate
that
high-end
instruments
can
increased
negligible
selection
are
commonly
context
aboveground
biomass
estimation.
Methods in Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 7, 2025
Abstract
Technological
advances
in
three
imaging
techniques
have
opened
the
door
to
advanced
morphological
analyses
and
habitat
mapping
for
biologists
ecologists.
At
same
time,
challenge
of
translating
complex
3D
data
into
meaningful
metrics
that
can
be
used
conjunction
with
biological
currently
hinders
progress
accessibility.
We
introduce
habtools
,
an
R
package
provides
functions
efficiently
calculate
complexity
shape
from
DEMs,
meshes
2D
shapes
as
well
some
helper
facilitate
workflow.
expect
functionality
continue
expand
new
faster
methods
become
available,
we
welcome
contributions
ideas.
Forest Ecology and Management,
Journal Year:
2024,
Volume and Issue:
560, P. 121839 - 121839
Published: March 21, 2024
3D
crown
shape
and
tree
ring
development
are
autobiographies
of
the
growth
conditions.
With
advancements
in
terrestrial
laser
scanning,
modeling
from
structure
offers
insights
into
trees'
structural
functional
responses
a
non-destructive
repetitive
way.
However,
how
trees
different
growing
conditions
respond
manifest
their
rings
remains
unexplored,
which
would
help
to
better
explain
tree-level
dynamics
forest
management.
To
enhance
this
understanding,
we
tested
set
hypotheses:
(HI)
that
(CS)
(width)
patterns
(TRP)
correlated
across
or
stands
like
monospecific,
provenances
trials,
mixed
stands;
(HII)
stand
types
influence
CS-TRP
link;
(HⅢ)
local
neighborhood
competition
(LNC)
modulates
link.
(HⅣ)
crowns
conditions;
therefore,
structures
can
be
used
predict
growth.
We
assessed
these
hypotheses
by
employing
scanning-based
dendrochronology-based
width
Norway
spruce
(Picea
abies
[L.]
Karst.)
pure
(unthinned
thinned),
trial,
mixed-species
trial
(with
European
Beech,
Fagus
sylvatica
[L.])
covering
large-scale
gradient.
first
show
TRP
metrics
differed
significantly
forests
(p<0.05)
but
were
(p<0.05).
Neighborhood
among
influences
link
between
rings.
Pathway-based
analyses
revealed
indirectly
variability
modifying
(p<0.05),
suggesting
mostly
manifested
shapes,
leading
shape-based
low-error
predictions
(0.44
mm)
types.
incorporating
legacy
information
(competition
over
last
30
years)
model
slightly
improved
prediction
performance
(error
reduced
0.41
mm),
further
explaining
likely
loses
due
it
faces
species
with
is
growing).
This
study
reveals
structurally
mechanized
rings,
providing
crucial
Canadian Journal of Forest Research,
Journal Year:
2024,
Volume and Issue:
54(7), P. 774 - 792
Published: Feb. 26, 2024
This
study
explores
how
data
from
a
handheld
mobile
laser
scanning
(MLS)
system
and
quantitative
structural
models
(QSM)
can
be
used
to
estimate
tree
attributes.
Four
MLS
acquisition
scenarios
were
investigated
in
1
ha
temperate
hardwood
stand,
including
15
35
m
parallel
lines,
nine
circular
plots,
20
×
grid.
Results
compared
against
terrestrial
destructive
field
measurements.
All
yielded
comparable
results,
except
for
the
scenario,
which
showed
greater
variability.
The
grid
scenario
highest
accuracy,
with
an
RMSE
of
0.41
(2.07%)
height,
3.98
cm
(14.93%)
diameter
at
breast
0.21
m³
(19.28%)
merchantable
wood
volume,
0.07
(10.11%)
stem
volume.
A
bias
<
5%
was
observed
these
key
attributes,
11.68%
Overestimation
branch
volume
identified
as
primary
source
related
highlights
MLS’s
potential
accurate,
non-destructive
estimation
while
pointing
out
need
refine
noise
removal
assess
most
suitable
various
forest
types.
Global Change Biology,
Journal Year:
2024,
Volume and Issue:
30(8)
Published: Aug. 1, 2024
Abstract
Tree
allometric
models,
essential
for
monitoring
and
predicting
terrestrial
carbon
stocks,
are
traditionally
built
on
global
databases
with
forest
inventory
measurements
of
stem
diameter
(D)
tree
height
(H).
However,
these
often
combine
H
obtained
through
various
measurement
methods,
each
distinct
error
patterns,
affecting
the
resulting
H:D
allometries.
In
recent
decades,
laser
scanning
(TLS)
has
emerged
as
a
widely
accepted
method
accurate,
non‐destructive
structural
measurements.
This
study
used
TLS
data
to
evaluate
prediction
accuracy
inventory‐based
allometries
develop
more
accurate
pantropical
We
considered
19
tropical
rainforest
plots
across
four
continents.
Eleven
had
RIEGL
VZ‐400(i)
TLS‐based
D
data,
allowing
assessment
local
Additionally,
from
1951
trees
all
were
create
new
rainforests.
Our
findings
reveal
that
in
most
plots,
underestimated
compared
For
30‐metre‐tall
trees,
underestimations
varied
−1.6
m
(−5.3%)
−7.5
(−25.4%).
Malaysian
plot
reaching
up
77
height,
underestimation
was
much
−31.7
(−41.3%).
propose
allometry,
incorporating
maximum
climatological
water
deficit
site
effects,
mean
uncertainty
19.1%
bias
−4.8%.
While
is
roughly
2.3%
greater
than
Chave2014
model,
this
model
demonstrates
consistent
uncertainties
size
delivers
less
biased
estimates
(with
reduction
8.23%).
summary,
recognizing
errors
methods
vital,
they
can
propagate
into
inform.
underscores
potential
rainforests,
refining
Journal of Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
Abstract
Competition
between
individuals
is
a
key
process
that
drives
tree
growth
and
survival
in
forests.
Ecological
theories
predict
the
effect
of
competition
should
be
weaker
stressful
environments.
However,
quantitative
studies
have
failed
to
reach
consensus
on
direction
interaction
climate
competition.
In
this
study,
we
demonstrate
appears
clearly
when
explicitly
focus
light
We
analysed
along
both
temperature
aridity
gradients
for
33
major
European
species.
collected
forest
inventories
from
nine
countries,
encompassing
over
1
million
trees
Spain
Scandinavia.
used
species‐specific
crown
allometric
equations
connect
extensive
database
SamsaraLight
ray
tracing
model
calculate
tree‐based
index
intercepted
by
crown.
Within
given
species'
climatic
niche,
decreased
towards
dry
cold
margins,
supporting
stress
gradient
hypothesis.
Climate
mainly
affected
light,
with
slower
drier
or
colder
conditions.
contrast,
survival,
shade,
better
margins.
Among
species,
mean
sensitivity
increasing
niche
shade
tolerance
Synthesis.
Our
study
emphasises
importance
considering
interactions
survival.
The
impact
change
an
individual
likely
depend
its
status
within
stand,
as
well
tolerance.
Methods in Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 20, 2025
Abstract
Due
to
their
importance
for
climate
change
monitoring,
modelling
and
adaptation,
vegetation
structural
properties
including
leaf
area
index
(LAI)
are
designated
essential
variables
(ECVs)
by
the
Global
Climate
Observing
System
(GCOS).
Terrestrial
laser
scanning
(TLS),
which
rapidly
acquires
millions
of
three‐dimensional
point
measurements
representing
physical
environment,
is
an
increasingly
popular
method
estimating
these
ECVs.
To
assess
LAI
from
TLS
data
collected
during
leaf‐on
conditions,
a
fundamental
requirement
classification
points
as
either
leaves
or
wood.
Existing
intensity‐based
leaf‐wood
methods
confounded
natural
variability
in
reflectance
wood,
bidirectional
effects
need
complex
radiometric
calibration,
whilst
geometric
require
high
density
known
misclassify
small
branches
twigs.
A
novel
approach
presented
that
avoids
issues
exploiting
spectral
transmittance
which,
at
near‐infrared
wavelengths,
demonstrate
much
larger
differences
than
reflectance.
The
relies
on
images
co‐registered
camera
integrated
with
instrument
can
be
directly
applied
whole
cloud
without
segmentation.
technique
estimation
wood
(WAI)
deciduous
broadleaf
forest
site,
results
benchmarked
against
reference
values
derived
leaf‐off
scans.
Leaf‐on
estimates
WAI
demonstrated
bias
(RMSD
≤0.46,
≤0.17)
but
were
not
significantly
different
site
level.
provide
evidence
efficacy
approach,
its
use
has
potential
reduce
uncertainty
ECVs
critical
adaptation.
Forest Ecology and Management,
Journal Year:
2024,
Volume and Issue:
562, P. 121942 - 121942
Published: May 8, 2024
There
has
been
a
recent
(<
20
years)
increase
in
the
recurrence
of
windstorm
disturbances
European
forests,
likely
due
to
accelerating
anthropogenic
climate
change.
Across
Europe,
there
remains
paucity
studies
documenting
storm
damage
trees
at
local
scale.
In
aftermath
two
successive
2021
UK
winter
storms,
named
Arwen
and
Barra,
census
native
oak
(Quercus
robur
Quercus
petraea)
was
carried
out
across
three
sites
North
East
England,
Great
Britain;
region
that
suffered
some
highest
windspeeds
both
storms.
Native
significant
losses,
particular
notable
veteran
specimens.
This
is
great
concern,
given
species'
ecological
cultural
significance.
A
total
79
damaged
were
recorded
all
∼
80
ha
study
sites.
Crown
most
documented
type
present
59.5%
surveyed
trees,
followed
by
windsnap,
22.8%,
windthrow,
17.7%.
Bark
defects
frequently
encountered
point
pre-existing
structural
weakness,
making
up
48.3%
reported
weak
forks,
40%,
prune
wounds,
11.7%.
Our
findings
inform
our
understanding
impacts
further
highlight
clear
dose/response
relationship,
whereby
storms
greater
magnitude
caused
scale
damage.
However,
several
marked
differences
between
those
Storm
1987
(the
comparable
terms
damage).
Perhaps
difference
an
open
parkland
or
hedgerow
setting
appeared
less
damaged,
severity.
characterises
stresses
importance
observations
scale,
facilitate
improved
modelling
future
events
forest
management.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1942 - 1942
Published: April 5, 2023
Poplar
plantations
in
high-density
and
short-rotation
coppices
(SRC)
are
a
suitable
way
for
the
fast
production
of
wood
that
can
be
transformed
into
bioproducts
or
bioenergy.
Optimal
management
these
requires
accurate
assessment
total
standing
biomass.
However,
traditional
field
inventory
is
challenging
task,
given
existence
multiple
shoots,
difficulty
identifying
terminal
extreme
high
density.
As
an
alternative,
this
work,
we
propose
to
develop
individual
stool
plot
biomass
models
using
metrics
derived
from
terrestrial
laser
scanning
(TLS)
as
predictors.
To
aim,
used
data
SRC
poplar
plantation,
including
nine
plots
154
stools.
Every
was
scanned
different
positions,
stools
were
felled,
weighed,
dried
compute
aboveground
(AGB).
Individual
segmented
cloud
point,
TLS
at
level
following
processes
bounding
box,
slicing,
voxelization.
These
then
used,
either
alone
combined
with
field-measured
metrics,
fit
models.
Our
results
indicate
individual-stool
level,
combining
easy
measure
(stool
diameter)
perform
similarly
allometric
based
on
inventories,
while
scales,
TLS-derived
show
superiority
over
proposed
methodology
permits
non-destructive
estimates
fixed
plantations.