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SyntheticApertureRadar

Synthetic Aperture Radar (SAR) is a form of radar used to create high-resolution two-dimensional images or three-dimensional reconstructions of landscapes. Operating in the microwave portion of the spectrum, SAR can image the Earth through clouds and at night, providing consistent data under varying weather and illumination conditions.

Principle and processing: A SAR system mounts on a moving platform such as an aircraft or satellite.

Data characteristics and challenges: SAR data are typically complex-valued, containing amplitude and phase information that enables

Imaging modes and capabilities: SAR supports several modes, including stripmap, spotlight, and ScanSAR, which trade resolution

Applications and platforms: SAR is widely used for earth observation, topographic mapping, monitoring land deformation, ice

It
emits
microwave
pulses
and
records
the
backscattered
echoes
as
the
platform
travels.
By
exploiting
the
Doppler
effect
across
many
positions,
the
radar
synthesizes
a
much
larger
effective
antenna
aperture,
yielding
fine
azimuth
resolution.
Range
resolution
is
set
by
the
transmitted
pulse
bandwidth,
while
azimuth
resolution
improves
with
the
synthetic
aperture
through
coherent
processing
of
the
received
phase
information.
interferometry
and
polarimetry.
Processing
steps
include
range
and
azimuth
compression,
motion
compensation,
calibration,
and
speckle
reduction.
The
imagery
can
exhibit
geometric
distortions
such
as
layover,
foreshortening,
and
shadow,
and
requires
careful
interpretation
and
correction
in
advanced
applications.
for
swath
width.
Advanced
variants
offer
polarimetric
(PolSAR)
data
and
interferometric
(InSAR)
capabilities
to
measure
surface
height
and
deformation.
Multi-look
processing
and
time-series
analyses
enhance
reliability
for
various
observations.
and
ocean
studies,
forestry
and
agriculture,
disaster
response,
and
infrastructure
monitoring.
Spaceborne
systems
such
as
Sentinel-1,
TerraSAR-X,
and
Radarsat-2,
along
with
airborne
SAR,
provide
diverse
data
for
research
and
operational
needs.