A meta-review of remote sensing for rubber plantations
International Journal of Applied Earth Observation and Geoinformation,
Год журнала:
2025,
Номер
141, С. 104625 - 104625
Опубликована: Май 29, 2025
Язык: Английский
Development of L-band fully polarimetric SAR algorithm for forest biomass retrieval using 7SD and random forest regression
Physics and Chemistry of the Earth Parts A/B/C,
Год журнала:
2024,
Номер
136, С. 103688 - 103688
Опубликована: Авг. 9, 2024
Forest
biomass
is
essential
for
carbon
budgeting,
biodiversity
health,
and
climate
change
research.
This
study
developed
a
novel
L-band
fully
polarimetric
SAR
method
estimating
aboveground
(AGB)
in
forested
region
India.
Biomass
was
estimated
using
ALOS-2/PALSAR-2
data
sets
field
AGB
measurements.
To
estimate
forest
AGB,
the
algorithm
employs
seven-component
scattering
power
decomposition
(7SD)
random
regression
(RFR)
machine-learning
approach.
By
implementing
7SD
model,
seven
powers
were
extracted
from
inverted
biomass.
The
used
to
validate
by
model.
model
Shivamogga
consistent
with
measured
root
mean
squared
error
(RMSE)
relative
RMSE
respect
21.94
Mg/ha
19.46,
respectively,
which
are
within
acceptable
ranges.
also
cross-validation
at
Tundi
Forest,
where
22.9.
generated
can
be
useful
tropical
estimation.
Язык: Английский
Development of Four Component Scattering Power Decomposition Technique for Dual Polarization SAR Data
Journal of the Indian Society of Remote Sensing,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 14, 2024
Abstract
The
increasing
availability
of
dual-polarimetric
synthetic
aperture
radar
(PolSAR)
data
has
led
to
a
significant
rise
in
its
applications
over
the
past
few
decades.
Model-based
decompositions
combined
with
polarimetric
information
extraction
from
PolSAR
play
crucial
role
target
identification
and
classification.
In
this
context,
covariance
matrix
[C],
composed
four
independent
parameters,
was
used
as
input
for
dual-pol
four-component
scattering
power
decomposition
(DP-4SD).
A
novel
4SD
model
tested
using
dual
SAR
spaceborne
ALOS-2/PALSAR-2,
performance
evaluated
against
existing
methods.
proposed
assessed
dual-polarization
Haldwani
Forest
San
Francisco
evaluate
classification
capabilities
within
single
class
(forest)
across
various
land
use
cover
classes
Francisco.
overall
accuracy
achieved
85.69%
forest
93.66%
Francisco,
fewer
unclassified
samples
compared
model.
demonstrates
superior
enhances
interpretation
information,
indicating
potential
significantly
improve
land-use
land-cover
mapping
data.
Язык: Английский
Advanced Polarimetric Radar Remote Sensing Techniques and Applications
Journal of the Indian Society of Remote Sensing,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 29, 2024
Язык: Английский
InSAR coherence based temporal changes detection and mapping of tropical forest and plantations in Northern Borneo
IOP Conference Series Earth and Environmental Science,
Год журнала:
2024,
Номер
1412(1), С. 012011 - 012011
Опубликована: Дек. 1, 2024
Abstract
The
TanDEM-X
InSAR
coherence
data
is
cloud-free
and
not
affected
by
temporal
decorrelation.
It
also
provides
excellent
interferometric
on
the
canopy,
which
helpful
for
direct
detection
mapping
of
changes
in
tropical
forests
plantations.
In
this
paper,
three
scenes
were
acquired
2012,
2017,
2019,
all
single
HH
polarization
bistatic
mode
covering
northern
Sabah.
Generated
was
compared
pairwise
before
after
scenarios
using
raster
analysis.
GIS
analysis
information
extraction
done
digitized
plantations
land
use
boundaries.
Results
show
Oil
palm
mostly
unchanged,
Industrial
Tree
Plantation
(ITP)
decreased
27%
between
2021-2017
17%
2012-2019
due
to
ongoing
timber
harvesting.
Meanwhile,
Forest
Reserve
(FR)
showed
an
increase
14%
2012-2017.
study
demonstrated
potential
direct,
quick,
simple
forest
plantation
mapping.
Язык: Английский