Canopy height and biomass distribution across the forests of Iberian Peninsula
Scientific Data,
Год журнала:
2025,
Номер
12(1)
Опубликована: Апрель 22, 2025
Abstract
Accurate
mapping
of
vegetation
canopy
height
and
biomass
distribution
is
essential
for
effective
forest
monitoring,
climate
change
mitigation,
sustainable
forestry.
Here
we
present
high-resolution
remote
sensing-based
(10
m
resolution)
above
ground
(AGB,
50
maps
the
forests
Iberian
Peninsula
from
2017
to
2021,
using
a
deep
learning
framework
that
integrates
Sentinel-1,
Sentinel-2,
LiDAR
data.
Two
UNET
models
were
developed:
one
trained
on
Airborne
Laser
Scanning
(ALS)
data
(MAE:
1.22
m),
while
another
Global
Ecosystem
Dynamics
Investigation
(GEDI)
footprints
3.24
m).
External
validation
with
6,308
Spanish
National
Forest
Inventory
(NFI)
plots
(2017–2019)
confirmed
reliability,
showing
MAEs
2–3
in
tree-covered
areas.
AGB
estimates
obtained
through
Random
linked
derived
predictions
NFI
data,
achieves
an
MAE
~29
Mg/ha.
The
creation
across
various
landscapes
provides
valuable
new
tool
environmental
researchers,
policy
makers,
management
professionals,
offering
detailed
insights
can
inform
conservation
strategies,
carbon
sequestration
efforts,
practices.
Язык: Английский
Changes in GEDI-based measures of forest structure after large California wildfires relative to pre-fire conditions
Remote Sensing of Environment,
Год журнала:
2025,
Номер
323, С. 114718 - 114718
Опубликована: Апрель 4, 2025
Язык: Английский
Old-growth mapping in Patagonia’s evergreen forests must integrate GEDI data to overcome NFI data limitations and to effectively support biodiversity conservation
Forest Ecology and Management,
Год журнала:
2024,
Номер
568, С. 122059 - 122059
Опубликована: Июль 8, 2024
Язык: Английский
Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
Hydrology,
Год журнала:
2024,
Номер
11(11), С. 183 - 183
Опубликована: Окт. 30, 2024
The
application
of
machine
learning
(ML)
and
remote
sensing
(RS)
in
soil
water
conservation
has
become
a
powerful
tool.
As
analytical
tools
continue
to
advance,
the
variety
ML
algorithms
RS
sources
expanded,
providing
opportunities
for
more
sophisticated
analyses.
At
same
time,
researchers
are
required
select
appropriate
technologies
based
on
research
objectives,
topic,
scope
study
area.
In
this
paper,
we
present
comprehensive
review
that
been
implemented
advance
conservation.
key
contribution
paper
is
it
provides
an
overview
current
areas
within
their
effectiveness
improving
prediction
accuracy
resource
management
categorized
subfields,
including
properties,
hydrology
resources,
wildfire
management.
We
also
highlight
challenges
future
directions
limitations
applications
This
aims
serve
as
reference
decision-makers
by
offering
insights
into
fields
Язык: Английский
Characteristics of Biochar Obtained by Pyrolysis of Residual Forest Biomass at Different Process Scales
Energies,
Год журнала:
2024,
Номер
17(19), С. 4861 - 4861
Опубликована: Сен. 27, 2024
In
this
work,
the
pyrolysis
process
and
characteristics
of
biochar
produced
using
a
bench-scale
fixed-bed
reactor
prototype-scale
auger
were
studied.
Residual
forest
biomass
(RFB)
from
acacia,
broom,
gorse,
giant
reed
was
used
as
feedstock.
Besides
information
on
these
specific
species
Iberian
Peninsula,
new
knowledge
understanding
how
results
small-scale
reactors
can
be
to
predict
behavior
higher-scale
continuous-operation
is
offered.
Batch
carried
out
40
g
sample
in
with
heating
rate
20
°C∙min−1,
temperature
450
550
°C,
residence
time
30
min,
while
for
continuous
it
prototype
an
operation
flow
up
1
kg/h,
temperatures
solids
5
min.
The
yield
range
0.26
0.36
kg/kg
dry
basis,
being
similar
both
types
slightly
lower
when
reactor.
proximate
analysis
shows
volatile
matter
0.10
0.27
fixed
carbon
0.65
0.84
ash
0.04
0.08
basis.
carbon,
oxygen,
hydrogen
content
0.71
0.81,
0.09
0.22,
0.02
0.03
respectively.
show
that
up-scaling
regime
does
not
have
important
influence
produced.
obtained
two
has
appropriate
environmental
applications,
such
additive
improve
soil
properties.
It
possible
see
are
influenced
by
type
conditions
parameters
process;
therefore,
major
importance
control
know
conditions,
especially
considering
upscaling
scenarios.
Язык: Английский