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Measuring the effective along-track resolution of CryoSat 
Michele Scagliola, Aresys srl 
Nicolas Tagliani, Aresys srl 
Marco Fornari, ESA
Outline 
 Along-track processing for CryoSat SAR/SARIn modes 
 Theoretical model for along-track resolution 
 Effective along-track resolution 
 Azimuth window optimization 
 Conclusions
Along-track processing 
WGS84 
Azimuth 
window 
Phase 
weighting 
FFT 
64 pulses 64 beams 
N samples 
N samples 
Along-track IRF Along-track resolution: main 
beam width at -3dB with respect 
to the peak of the power IRF
Azimuth window 
The azimuth windowing has been included in the beam forming to mitigate the effect of clutter on the off- nadir beams due to specular backscattering of the ice surface from the nadir. Hamming window is implemented in IPF1 VK1.0: 
low sidelobes to suppress the clutter 
mainlobe widening that decreases the resolution 
Rectangular 
Hamming
Theoretical model 
The along-track resolution of CryoSat for SAR/SARin IRF has been 
derived: 
 
 
 
 
 
  
  
 
 
 
 
 
   
R v 
PRF h R h 
wx f 
( ) 
2 64 
0.886 
 
 
Parameters fixed 
by instrument 
design 
Quantities that are 
function of the 
position of the satellite 
along the orbit 
Widening factor due to 
the window function 
used in the processing: 
For IPF1 vk1.0, 
with 
It’s the only term that 
can be modified in IPF1 
1 f w 
1.486 f w
Experimental approach 
Level1b products dataset 
 About 3000 SAR L1b 
 About 4000 SARIn L1b 
 From July 2011 to 
October 2012 R 
v 
h Quantities that are function of the 
position of the satellite along the 
orbit are read from L1b products 
 
 
 
 
 
  
  
 
 
 
 
 
   
R v 
PRF h R h 
wx f 
( ) 
2 64 
0.886 
 
 
The along-track resolution has been evaluated as 
function of operational time and as function of the 
geographic position of the Level1b measurement
Effective along-track resolution 
Mode 
Minimum [m] 
Average [m] 
Maximum [m] 
Along-Track resolution 
SAR 
434.39 
448.83 
465.13 
SARin 
434.46 
450.42 
465.76 
SAR+SARin 
434.39 
449.64 
465.76 
The along-track resolution has been here represented as function of the position of the satellite Moreover it has been verified that the along-track resolution is approximately constant along the time.
Effective along-track resolution 
The along-track resolution as function of the Latitude has been reported and a polynomial model of the along-track resolution has been evaluated to compute the average resolution as function of the latitude of the Level1b measurement:
Validation of the results 
9 
To verify the analysis on the effective along- track resolution, a point scatterer has been found in a SAR L1b product and the -3dB width of the along track IRF has been measured. 
450 m 
The along-track resolution is about 450 m at Latitude 85.61 deg
Azimuth window optimization 
The average along-track resolution for CryoSat results to be approximately equal to 450 m. 
Aiming at improving the along-track resolution, the azimuth window has to be optimized to reduce the widening factor 
Trade-off analysis between along-track resolution and clutter suppression as function of the azimuth window. fw
Azimuth window optimization 
Average along-track resolution [m] 
PSLR [dB] 
No window 
303 
13.26 
DT PSLR= 37.5dB 
404 
37.50 
Hamming c1=0.2 
402 
31.60 
Hamming c1=0.08 
450 
42.45 
The following azimuth windows have been considered in the optimization analysis: 
Dolph-Tchebyshev (DT): 
its Fourier transform exhibits the narrowest mainlobe width for the specified sidelobe level 
All the sidelobes have the same level 
Improvement of about 11%
Clutter suppression 
To verify if the clutter is sufficiently suppressed using the proposed azimuth windows, a SAR product of the 19th of August 2011 has been processed up to Level1b using the four different windows. 
The clutter suppression has been evaluated on 
Bright scatterer area for sea ice 
Average L1b waveform over sea ice 
Average L1b waveform over ocean 
Moreover, the Signal-to-Clutter-and-Noise Ratio (SCNR) has been measured for the average L1b waveforms.
Sea Ice 
Bright scatterer 
Weak scatterer 
 DT has higher clutter than Hamming 
 Clutter suppression w.r.t. no window is noticeable 
 The L1b waveform is not dependent of the azimuth window
Sea ice: average waveform 
About 5 seconds of Level1b waveforms over sea ice have been averaged: 
 The shape of the average L1b waveform is not dependent on the azimuth window 
Window 
SCNR 
No window 
33.39 dB 
DT PSLR= - 37.5dB 
36.48 dB 
Hamming c1=0.2 
37.38 dB 
Hamming c1=0.08 
37.61 dB
Ocean: average waveform 
About 5 seconds of Level1b waveforms over ocean have been averaged: 
 The shape of the average L1b waveform is slightly dependent on the azimuth window 
Window 
SCNR 
No window 
25.98 dB 
DT PSLR= - 37.5dB 
29.14 dB 
Hamming c1=0.2 
29.52 dB 
Hamming c1=0.08 
29.83 dB
Conclusions 
Effective along-track resolution for CryoSat SAR/SARIn modes has been evaluated 
The current Level1b measurements are characterized by an average resolution approximately equal to 450 m 
By optimizing the azimuth window used in along-track processing, it is possible to improve the resolution of about 11% with a very limited loss in clutter suppression

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Cryosat2013 scagliola

  • 1. Measuring the effective along-track resolution of CryoSat Michele Scagliola, Aresys srl Nicolas Tagliani, Aresys srl Marco Fornari, ESA
  • 2. Outline  Along-track processing for CryoSat SAR/SARIn modes  Theoretical model for along-track resolution  Effective along-track resolution  Azimuth window optimization  Conclusions
  • 3. Along-track processing WGS84 Azimuth window Phase weighting FFT 64 pulses 64 beams N samples N samples Along-track IRF Along-track resolution: main beam width at -3dB with respect to the peak of the power IRF
  • 4. Azimuth window The azimuth windowing has been included in the beam forming to mitigate the effect of clutter on the off- nadir beams due to specular backscattering of the ice surface from the nadir. Hamming window is implemented in IPF1 VK1.0: low sidelobes to suppress the clutter mainlobe widening that decreases the resolution Rectangular Hamming
  • 5. Theoretical model The along-track resolution of CryoSat for SAR/SARin IRF has been derived:                  R v PRF h R h wx f ( ) 2 64 0.886   Parameters fixed by instrument design Quantities that are function of the position of the satellite along the orbit Widening factor due to the window function used in the processing: For IPF1 vk1.0, with It’s the only term that can be modified in IPF1 1 f w 1.486 f w
  • 6. Experimental approach Level1b products dataset  About 3000 SAR L1b  About 4000 SARIn L1b  From July 2011 to October 2012 R v h Quantities that are function of the position of the satellite along the orbit are read from L1b products                  R v PRF h R h wx f ( ) 2 64 0.886   The along-track resolution has been evaluated as function of operational time and as function of the geographic position of the Level1b measurement
  • 7. Effective along-track resolution Mode Minimum [m] Average [m] Maximum [m] Along-Track resolution SAR 434.39 448.83 465.13 SARin 434.46 450.42 465.76 SAR+SARin 434.39 449.64 465.76 The along-track resolution has been here represented as function of the position of the satellite Moreover it has been verified that the along-track resolution is approximately constant along the time.
  • 8. Effective along-track resolution The along-track resolution as function of the Latitude has been reported and a polynomial model of the along-track resolution has been evaluated to compute the average resolution as function of the latitude of the Level1b measurement:
  • 9. Validation of the results 9 To verify the analysis on the effective along- track resolution, a point scatterer has been found in a SAR L1b product and the -3dB width of the along track IRF has been measured. 450 m The along-track resolution is about 450 m at Latitude 85.61 deg
  • 10. Azimuth window optimization The average along-track resolution for CryoSat results to be approximately equal to 450 m. Aiming at improving the along-track resolution, the azimuth window has to be optimized to reduce the widening factor Trade-off analysis between along-track resolution and clutter suppression as function of the azimuth window. fw
  • 11. Azimuth window optimization Average along-track resolution [m] PSLR [dB] No window 303 13.26 DT PSLR= 37.5dB 404 37.50 Hamming c1=0.2 402 31.60 Hamming c1=0.08 450 42.45 The following azimuth windows have been considered in the optimization analysis: Dolph-Tchebyshev (DT): its Fourier transform exhibits the narrowest mainlobe width for the specified sidelobe level All the sidelobes have the same level Improvement of about 11%
  • 12. Clutter suppression To verify if the clutter is sufficiently suppressed using the proposed azimuth windows, a SAR product of the 19th of August 2011 has been processed up to Level1b using the four different windows. The clutter suppression has been evaluated on Bright scatterer area for sea ice Average L1b waveform over sea ice Average L1b waveform over ocean Moreover, the Signal-to-Clutter-and-Noise Ratio (SCNR) has been measured for the average L1b waveforms.
  • 13. Sea Ice Bright scatterer Weak scatterer  DT has higher clutter than Hamming  Clutter suppression w.r.t. no window is noticeable  The L1b waveform is not dependent of the azimuth window
  • 14. Sea ice: average waveform About 5 seconds of Level1b waveforms over sea ice have been averaged:  The shape of the average L1b waveform is not dependent on the azimuth window Window SCNR No window 33.39 dB DT PSLR= - 37.5dB 36.48 dB Hamming c1=0.2 37.38 dB Hamming c1=0.08 37.61 dB
  • 15. Ocean: average waveform About 5 seconds of Level1b waveforms over ocean have been averaged:  The shape of the average L1b waveform is slightly dependent on the azimuth window Window SCNR No window 25.98 dB DT PSLR= - 37.5dB 29.14 dB Hamming c1=0.2 29.52 dB Hamming c1=0.08 29.83 dB
  • 16. Conclusions Effective along-track resolution for CryoSat SAR/SARIn modes has been evaluated The current Level1b measurements are characterized by an average resolution approximately equal to 450 m By optimizing the azimuth window used in along-track processing, it is possible to improve the resolution of about 11% with a very limited loss in clutter suppression