Transcript Folie 1

IGARSS 2011, Vancouver, Canada
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26, 15:20 - 17:00
Ionospheric Effects in SAR Interferometry:
An Analysis and Comparison of Methods for their Estimation
Ramon Brcic1, Alessandro Parizzi1, Michael Eineder1, Richard Bamler1 and Franz Meyer2
1 Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR)
2 Geophysical Institute, University of Alaska, Fairbanks
Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 2
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
2
Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 3
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
3
Ionospheric Effects in InSAR
Ionised gases at 50 – 1000 km
Yearly Average 2010
Spatial variations: typically over >100 km
effectively constant over SAR scene dimensions
Temporal variations: daily, seasonally, solar cycle
sun-synchronous orbits reduce temporal variation
Scintillation: rapid temporal & spatial changes
06:00 local, descending, 0 – 10 TECU
18:00 local, ascending, 0 – 30 TECU
IGARSS 2011, Vancouver, Canada
Folie 4
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Ionospheric Effects in InSAR
Dispersive medium for SAR signals
Ionosphere ~100 – 1000 km
Group Delay, Phase Advance, Faraday Rotation
 group   phase  2 K
STEC 
STEC
[m]
f2
equivalent SAR model
thin layer, barycenter 400 km
TEC
(Slant range TEC)
cos inc
SAR images: location, phase shifts
constant TEC  STEC increases from near to far range 
group delay & phase advance increase
Repeat-pass interferogram: focus on Ionospheric Phase Screen
TEC  ΔTEC (master – slave TEC)
constant ΔTEC  phase gradient in range
spatial variations in ΔTEC modulate ionospheric phase
TEC 13±0.2
STEC 16±0.5
07-07-2007, 18:30 local time
68° W 25° S, scene 32 x 57 km
IGARSS 2011, Vancouver, Canada
Folie 5
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Ionospheric Effects in InSAR
Existing and future SAR systems: interferometric phase sensitivity to VTEC at 35° incidence angle
Band
P
L
C
X
Carrier Frequency
435 MHz
1.27 GHz
5.405 GHz
9.65 GHz
Agency
ESA
NASA/DLR
JAXA
ESA
DLR
Mission or Sensor
BIOMASS
DESDynI/
TerraSAR-L
ALOS-PALSAR
Sentinel-1
TerraSAR-X, TanDEM-X
Range Bandwidth [MHz]
6
80
14, 28
100
100, 150, 300
Range Delay
[m / TECU]
5.2
0.61
0.034
0.011
Interferometric Phase Advance
[cycles / TECU]
7.5
2.6
0.61
0.34
Assumed Swath Width [km]
100
50
250
30
Interferometric range phase change
over swath for constant ΔTEC
[cycles / TECU]
0.89
0.15
0.18
0.012
IGARSS 2011, Vancouver, Canada
Folie 6
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 7
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Estimating TEC / Ionospheric Phase Screen
Global Ionospheric Models (GIMs) from GPS
Low res ~100s of kms, little or no spatial resolution over SAR image, ~1 TECU RMSE
Single Image Techniques
Autofocus, Faraday Rotation (Polarimetric data, latitude dependent)
InSAR Techniques
Split Spectrum or Delta-k [Rosen, Freeman, …]
exploit different behaviour of dispersive/nondispersive components in frequency
Range group – phase delay [Meyer, Bamler]
nondispersive components have same sign, dispersive components have opposite sign
Subband correlation
also exploits differing dispersive/nondispersive frequency behaviour, low resolution
IGARSS 2011, Vancouver, Canada
Folie 8
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 9
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Split Spectrum Method
C

topo

C
interferometric phase
at carrier frequency
2 fC R
c

iono

C
non-dispersive
topography, atmosphere
dispersive
ionosphere
Subband Range Spectra
Lower Subband
2K STEC
cfC
1  topo
C
f
f1
 Ciono C
fC
f1
2  topo
C
f
f2
 Ciono C
fC
f2
Upper Subband
iono

C
f1
fC
f2
b
B
b
f
f1 f 2 f 21  f12

2
2 fC
f 2  f1
Optimal subband bandwidth?
b=B/3
(same as split spectrum/delta-k absolute phase estimator)
IGARSS 2011, Vancouver, Canada
Folie 10
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
10
Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 11
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Range Group – Phase Delay Method
C

unwrapped interferometric
phase at carrier frequency
Ctopo 
2R


Ciono  
2 K STEC
cfC
non-dispersive
topography, atmosphere
dispersive
ionosphere
phase delay = group delay
phase delay = – group delay
shift from crosscorrelation
between master and slave
R

take difference
perform averaging
topo
topo


R
C
iono

C

iono
iono


R
C
C   R 
2
IGARSS 2011, Vancouver, Canada
Folie 12
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 13
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Theoretical Performance
Split spectrum
Subband center frequency error  couples dispersive & non-dispersive components
range spectrum with nonuniform weighting
iono
error  
C
 iono
C  topo
C
f



f

Better performance at low carrier frequencies & high bandwidths
3 3c fC2 1

16K B N
1 2

[TECU ]
Range group-phase delay
Performance determined by crosscorrelation based group delay estimate
(In)Coherent CC  σ is (1.5)2 x less than split-spectrum
IGARSS 2011, Vancouver, Canada
Folie 14
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Theoretical Performance
Theoretical standard deviation of split-spectrum ΔSTEC and ionospheric phase for various SAR systems.
Averaging over constant area of 1 km slant range x 1 km azimuth.
Mission, Sensor
Azimuth Resolution [m]
Range Bandwidth [MHz]
Resolution Cells Averaged
(C ) at   0.7
Range Phase Change
[cycles / TECU]
BIOMASS
12.5
6
3.2k
0.27
0.89
4.5
14
21k
0.13
4.5
28
42k
0.047
DESDynI / TerraSAR-L
10
80
53k
0.015
Sentinel-1
6
100
110k
0.034
3.3
100
200k
0.045
3.3
300
610k
0.0087
iono
ALOS-PALSAR
TerraSAR-X
0.15
0.18
0.012
IGARSS 2011, Vancouver, Canada
Folie 15
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Comparison
Split spectrum
Computational
Performance
Filtering & InSAR processing of subbands
Statistical
Performance
Error
Behaviour
Range group-phase delay
Minimal extra effort
group delay estimates from coregistration
phase delay estimates from fullband PU
Better statistical performance (theoretically)
Identical workflow for both subbands
common non-dispersive errors cancel
Different workflow for group & phase delay estimates
common non-dispersive erros may not cancel
2 x subband PU
more chance of error
1 x fullband PU
less chance of error
Sensitivity to range center frequency error
IGARSS 2011, Vancouver, Canada
Folie 16
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 17
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Experiments
L-Band ALOS-PALSAR acquisitions over Alaska known to contain significant
ionosphere (provided by Americas ALOS Data Node (AADN) and JAXA)
PALSAR PLR-mode, 14 MHz quad pole, HH channel
1. Good coherence
150.21 W, 69.96 N
01-04-2007, 17-05-2007
2. Poor coherence
147.40 W, 66.62 N
01-04-2007, 17-05-2007
IGARSS 2011, Vancouver, Canada
Folie 18
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Experiments
250 m change in topography
0.5 cycles at 512 m hamb
Fullband coherence
average = 0.5
Topographic phase
from external DEM
IGARSS 2011, Vancouver, Canada
Folie 19
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Experiments
Fullband Phase
6 cycles in unwrapped phase
–
0.5 cycles due to elevation
=
5.5 cycles in differential phase
=
5.5 cycles of ionosphere
Fullband differential phase
(DEM compensated)
Fullband unwrapped phase
IGARSS 2011, Vancouver, Canada
Folie 20
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Experiments
Split Spectrum Estimates
Ionospheric phase
~5.5 cycles
Ionospheric phase
rewrapped
Ionospheric phase
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Folie 21
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Experiments
ΔSTEC Estimates
average coherence 0.5
split spectrum σ(ΔSTEC)
0.04 TECU or 0.09 cycles
Split spectrum
res. 1 km x 1 km
Range group–phase delay
res. 2 km x 2 km
IGARSS 2011, Vancouver, Canada
Folie 22
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Experiments
Low coherence (<0.2) can cause difficulties for MCF-PU
Affects both split spectrum and range group – phase delay
0.25
<0.1
Fullband
avg. coherence 0.2
Fullband
MCF-PU
Split-spectrum
ionospheric phase
Split-spectrum
ΔSTEC
Range group–phase delay
ΔSTEC
IGARSS 2011, Vancouver, Canada
Folie 23
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Contents
Ionospheric Effects in InSAR
Estimating TEC
Split Spectrum Method
Range Group – Phase Delay Method
Theoretical Performance
Experiments with ALOS-PALSAR acquisitions
Summary & Conclusion
IGARSS 2011, Vancouver, Canada
Folie 24
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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Summary & Conclusion
Compensation of ionospheric phase for InSAR vital at P and L-Band
Estimation theoretically possible across P, L, C and even X-Band
Ionospheric phase screen estimation for repeat-pass InSAR confirmed with
successful L-Band experiments
Given sufficient coherence for reliable phase unwrapping, split-spectrum and range
group–phase delay approaches give similar results
Current / future work:
Comparison with other methods
Fusion of all methods to obtain a better estimate (TH3.T02, Thursday, 13:20, Meyer et.
al. “Potential contributions of the DESDynI mission to ionospheric research“)
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Folie 25
Session: TU4.T02.2 - Ionospheric Effects on SAR, PolSAR and InSAR, Tuesday, July 26
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Ionospheric Effects in SAR Interferometry: An Analysis and Comparison of Methods for their Estimation
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