Radial growth models for Pedunculate Oak in the Baltics, Latvia
Ecological Modelling,
Journal Year:
2025,
Volume and Issue:
506, P. 111161 - 111161
Published: May 3, 2025
Language: Английский
A Novel Spectral–Spatial Methodology for Hierarchical Fuel Type Mapping in Mediterranean Ecosystems Using Sentinel-2 Timeseries and Auxiliary Thematic Data
Fire,
Journal Year:
2024,
Volume and Issue:
7(11), P. 407 - 407
Published: Nov. 7, 2024
Wildland
fuel
distribution
and
characteristics
are
critical
components
for
the
development
of
a
national
integrated
wildfire
management
strategy.
This
study
presents
methodological
framework
mapping
fuels
in
Mediterranean
ecosystems
different
levels
new
hierarchical
classification
scheme,
using
spectral–spatial
approach
based
on
Sentinel-2
timeseries
auxiliary
thematic
maps.
Furthermore,
context
this
research,
novel
is
proposed
separating
shrubland
vegetation
into
three
broad
height
categories,
images,
landscape
variables,
climatic
data.
Two
areas
Greece,
namely
Attica
Euboea,
with
major
events
over
past
3
years
were
selected
as
areas.
The
methodology
was
designed
to
consist
complementary
processes,
each
identification
specific
types
(i.e.,
urban,
agricultural,
vegetation).
results
validated
two-step
scheme.
first
level
display
an
overall
accuracy
88%
kappa
0.84,
while
second
level,
71.64%
0.68.
Our
research
demonstrates
capacity
map
promising
at
depths,
highlighting
viable
method
that
can
be
potentially
exploited
large-scale
biomes
level.
Language: Английский
Dynamic model of the growth and yield of pine stands (Pinus sylvestris L.) in the Unzhensky Lowland
Aleksandr Lebedev
No information about this author
Forestry Engineering Journal,
Journal Year:
2024,
Volume and Issue:
14(3), P. 127 - 151
Published: Nov. 12, 2024
Scots
pine
is
one
of
the
main
forest-forming
species
in
Kostroma
region,
therefore
it
necessary
to
have
tools
that
allow
make
informed
decisions
on
managing
forest
growing
process,
planning
management,
designing
management
activities
and
increasing
efficiency
stands
performing
environmental
functions.
The
purpose
study
develop
a
dynamic
model
growth
yield
Unzhensky
Lowland
(Kostroma
region)
based
repeated
observations
permanent
trial
plots.
data
for
modeling
were
materials
from
censuses
21
plots
Chernolukhovsky
experimental
forestry
enterprise
3
Manturovo
section
Kologrivsky
Forest
Nature
Reserve.
To
by
average
height
diameter,
15
equations
9
basic
functions
analyzed,
thinning
stands,
14
analyzed.
resulting
regression
predicting
dynamics
heights
diameters,
together
form
which
belongs
category
empirical
models
stand
characteristics
at
level
an
individual
stand,
its
advantages
are
invariance
relative
base
age
ability
give
forecasts
over
wide
range
initial
parameter
values.
developed
can
serve
as
alternative
traditional
tables
course
when
justifying
activities,
forests
inventory
using
updating
method,
well
making
forests.
In
combination
with
additional
equations,
be
part
more
complex
structure
commercial
carbon
sequestration
potential,
impact
activities.
Language: Английский