Green
infrastructure
directly
impacts
our
daily
life
and
promotes
the
mitigation
of
climate
change
at
large.
Urban
woodlands
are
one
green
infrastructures
that
need
regular
monitoring.
Existing
urban
tree
inventories
monitoring
schemes
based
on
spatial
sampling
assessment
techniques.
health
using
remote
sensing
techniques
such
as
LiDAR
is
used
for
inventory
but
needs
a
revisit.
However,
radar
has
potential
to
investigate
estimation
height,
an
important
parameter
towards
Here
we
use
Digital
Elevation
Model
(DEM)
differential
interference
Synthetic
Aperture
Radar
(SAR)
satellite
data.
We
Sentinel-1
(C-band)
data
estimate
three
heights
in
setting.
In
addition,
exiting
height
ground-based
smartphone
Augmented
Reality
(AR)
comparison
validation
purposes.
The
result
can
be
integrated
with
available
forest
database
contribute
infrastructure.
As
case
study
demonstrate
methodology,
sample
trees
Ealing,
boroughs
London
good
coverage
woodlands.
Forestry An International Journal of Forest Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 7, 2024
Abstract
Tree
decline
in
arid
and
semi-arid
forest
ecosystems
causes
severe
socioeconomic
ecological
problems
thus
needs
to
be
thoroughly
quantified
monitored
across
space
time.
This
study
investigates
tree
Iran’s
Zagros
forests,
considering
environmental
factors
(e.g.
topographic,
soil,
climatic
variables).
We
used
field
data
from
Chaharmahal-and-Bakhtiari
(a
area
covering
165
km2)
derived
freely
available
databases.
Relationships
between
tree,
decline,
were
analyzed
using
generalized
additive
models.
Our
findings
reveal
that
slope
the
BioClim-16
variable
(precipitation
of
wettest
quarter)
significantly
influence
various
classes
(P-values:
=
.009,
.02).
The
best
multivariate
model
for
incorporated
soil
organic
carbon
silt
as
predictive
variables,
with
emerging
key
factor
(P-value
.04).
Additionally,
a
spectral
analysis
bare
declining
non-declining
areas
consistently
demonstrated
reduced
reflectance
values
regions
10
Sentinel-2
bands,
VNIR-3,
SWIR-2,
red,
green,
blue
bands
showing
significant
differences
unveiled
by
Wilcoxon
test
all
seasons
except
winter.
These
may
indicate
forests
stocked
on
soils
larger
grain
size
higher
fraction
sand)
and/or
content
more
vulnerable
decline.
contributes
our
hitherto
understanding
main
drivers
among
others
underscoring
potential
utility
properties
sparse
predict
likelihood
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: Oct. 12, 2023
The
rapid
development
of
remote
sensing
technologies
is
creating
unprecedented
opportunities
for
monitoring
and
inventorying
forest
ecosystems.
One
advantage
data
that
it
can
be
used
to
monitor
measure
tree
growth
in
near
real-time,
providing
extremely
useful
modelling.
This
study
Aerial
Laser
Scanning
(ALS)
from
14,920
Scots
pine
stands
the
Katowice
Regional
Directorate
State
Forests
southwestern
Poland.
We
tested
possibility
calibrating
a
regional
height
model
area
covering
754
thousands
hectares
forests.
was
validated
with
models
developed
using
traditional
approach
based
on
field
data.
Our
results
show
calibrated
does
not
differ
significantly
measurements
stem
analysis.
What
more,
ALS
gives
even
better
accuracy
modelling
than
ground
are
promising
application
repeated
models,
allowing
long-term
prediction
under
current
climatic
conditions.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 5, 2023
Abstract
Tree
mortality
is
an
objective
and
easily
definable
criterion
for
forest
health
particularly
suitable
long-term
large-scale
studies
of
condition.
However,
it
not
possible
to
accurately
determine
actual
tree
in
managed
forests
that
are
subject
silvicultural
sanitary,
periodic
or
continuous
removal.
In
this
case,
the
only
way
approximate
define
range
which
occurs
by
determining
minimum
maximum
thresholds.
For
purpose,
we
performed
a
survival
analysis
considered
removals
as
either
censored
complete
observations.
The
results
obtained
showed
significant
differences,
indicating
importance
how
classified
analysis.
An
attempt
similarity
removed
trees
alive
dead
terms
defoliation,
severity
damage,
DBH
age
revealed
inconsistencies
between
species
year
was
also
performed.
Removed
from
good
(pine)
resembled
alive,
while
poor
(spruce)
more.
This
result
suggests
stands
healthy
closer
minimum,
mortality.
Green
infrastructure
directly
impacts
our
daily
life
and
promotes
the
mitigation
of
climate
change
at
large.
Urban
woodlands
are
one
green
infrastructures
that
need
regular
monitoring.
Existing
urban
tree
inventories
monitoring
schemes
based
on
spatial
sampling
assessment
techniques.
health
using
remote
sensing
techniques
such
as
LiDAR
is
used
for
inventory
but
needs
a
revisit.
However,
radar
has
potential
to
investigate
estimation
height,
an
important
parameter
towards
Here
we
use
Digital
Elevation
Model
(DEM)
differential
interference
Synthetic
Aperture
Radar
(SAR)
satellite
data.
We
Sentinel-1
(C-band)
data
estimate
three
heights
in
setting.
In
addition,
exiting
height
ground-based
smartphone
Augmented
Reality
(AR)
comparison
validation
purposes.
The
result
can
be
integrated
with
available
forest
database
contribute
infrastructure.
As
case
study
demonstrate
methodology,
sample
trees
Ealing,
boroughs
London
good
coverage
woodlands.
