Estimation of temporal and spatial characteristics of oat development parameters using Sentinel-1 backscatter data
Abstract
The
implementation
of
precision
agriculture
is
an
urgent
priority
for
Ukraine's
agricultural
sector
under
climate
change
and
restricted
use
unmanned
aerial
vehicles
in
border
regions.
This
study
aims
to
evaluate
the
efficacy
radar
data
from
Sentinel-1
satellite
monitoring
density
structure
oat
crops
during
growing
season.
technique
encompassed
acquisition
images
VV
VH
polarizations,
processing
by
SNAP,
field
assessments
height,
plant
density,
phenological
development,
along
with
statistical
analysis
association
between
land
observations.
demonstrated
that
reflectance
coefficient
values
polarizations
fluctuate
according
development
phase:
a
reduction
backscattering
was
noted
at
onset
season,
followed
increase
stem
formation
earing
phases.
VH/VV
ratio
responsive
variations
moisture,
biomass,
stress
conditions.
modelling
substantial
correlation
among
planting
rate,
herbicide
application,
polarization
markers.
findings
validate
crop
irrespective
weather
method
enables
farmers
obtain
dependable
information
making
decisions
regarding
management,
timely
fertilizer
or
harvesting.
regression
model
consistent
R²=0.61,
suggesting
potential
further
research
utilizing
multi-year
develop
integrated
yield
forecasting
models.
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 21, 2025
Language: Английский