European Journal of Remote Sensing,
Journal Year:
2024,
Volume and Issue:
58(1)
Published: Dec. 11, 2024
The
importance
of
trees
in
non-forest
landscapes
has
been
the
focus
only
a
few
studies.
However,
these
provide
many
important
ecosystem
services.
In
this
study,
we
mapped
and
quantified
using
Sentinel-2
(S2)
very
high-resolution
(VHR)
Google
satellite
imagery
without
any
field
campaigns.
We
performed
Random
Forest
(RF)
classification
to
map
spatial
distribution
native
different
scenarios.
optimal
model
showed
an
overall
accuracy
kappa
0.99
0.98,
respectively.
40,500
km2
tree
cover,
including
cover
(approximately
29,565
≈10.5%),
excluding
plantations,
regional
provincial
parks,
water
bodies
Canadian
prairie
region
Saskatchewan.
According
our
results,
highest
numbers
were
found
eastern
northwestern
parts
study
area
–
cluster
"BLK_1"
"Black"
soil
zone,
with
total
5,388
13,233
km2,
lowest
southwest
side
"BRN_6"
"Brown"
2.38
979.5
This
research
is
as
detecting
quantifying
integral
part
studies
on
carbon
sequestration,
economics,
effective
management
strategies.
Frontiers in Remote Sensing,
Journal Year:
2025,
Volume and Issue:
6
Published: March 17, 2025
African
tropical
forests
play
a
crucial
role
in
global
carbon
dynamics,
biodiversity
conservation,
and
climate
regulation,
yet
monitoring
their
structure,
diversity,
stocks
changes
remains
challenging.
Remote
sensing
techniques,
including
multi-spectral
data,
lidar-based
canopy
height
vertical
structure
detection,
radar
interferometry,
have
significantly
improved
our
ability
to
map
forest
composition,
estimate
biomass,
detect
degradation
deforestation
features
at
finer
scale.
Machine
learning
approaches
further
enhance
these
capabilities
by
integrating
multiple
data
sources
produce
maps
of
attributes
track
over
time.
Despite
advancements,
uncertainties
remain
due
limited
ground-truth
validation,
the
structural
complexity
large
spatial
heterogeneity
forests.
Future
developments
remote
should
examine
how
multi-sensor
integration
high-resolution
from
instruments
such
as
Planet,
Tandem-X,
SPOT
AI
methods
can
refine
storage
function
maps,
large-scale
tree
biomass
improve
detection
down
level.
These
advancements
will
be
essential
for
supporting
science-based
decision-making
conservation
mitigation.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 11, 2025
Abstract
Community-based
conservation
initiatives
are
essential
for
mitigating
climate
change
and
biodiversity
loss.
Yet,
the
communities
leading
these
efforts
themselves
disproportionately
impacted
by
change.
Despite
this,
there
is
little
insight
about
how
resilient
community-based
institutions
to
extreme
weather
contextual
factors,
such
as
material
wellbeing,
further
affect
their
durability.
We
examined
this
dynamic
across
nearly
20,000
community-managed
forests
in
Nepal
using
high-resolution
mapping
of
forest
from
2018–2023.
Our
analysis
revealed
that,
without
community
management,
tree
clearing
doubled
response
anomalous
precipitation
patterns.
In
contrast,
showed
no
loss,
with
resilience
similarly
bolstered
wellbeing.
Unlike
formal
protected
areas,
also
maintain
local
access
resources,
likely
limiting
harvesting
encouraging
cultivation
non-timber
products.
These
findings
underscore
vulnerability
instability
protective
potential
management.
