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Compact Polarimetry Meeting

Compact Polarimetry Meeting. Wed. March 19 - Room 201 588 Booth St . 1315 - Welcome, Introductions & Meeting Objectives - Brisco 1330 - Project background - Brisco 1345 - Compact polarimetry review - Raney 1415 - Ships & Icebergs - Vachon COFFEE 1530 - Agriculture & land cover - McNairn

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Compact Polarimetry Meeting

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  1. Compact Polarimetry Meeting Wed. March 19 - Room 201 588 Booth St. • 1315 - Welcome, Introductions & Meeting Objectives - Brisco • 1330 - Project background - Brisco • 1345 - Compact polarimetry review - Raney • 1415 - Ships & Icebergs - Vachon • COFFEE • 1530 - Agriculture & land cover - McNairn • 1545 - Soil moisture - Charbonneau • 1600 - Surface Water, Freshwater Ice, and Wetlands - Brisco Thursday March 20 - room 201 588 Booth St • 0900 - Discussion- way forward • 0930 - Data gaps • COFFEE • 1015 - Analyses gaps • 1045 - Resources • 1115 - Action plan

  2. Water Resources & SAR Polarization/Polarimetry Brian Brisco & Joost van der Sanden March 19, 2008

  3. Acknowledgements • Literature • CCRS Research & Development Activities • GlobVision Inc. EOADP • Noetix Inc. EOADP

  4. Background • Water and wetlands of growing importance • Radar the water seeker • CWI being developed • SAR & Optical plus the best DEM available are inputs

  5. Overview • Frequency dependence & polarization/polarimetry first evaluated using AIRSAR and SIR-C • L-band for woody wetlands, C-band for more herbaceous vegetation • HH preferred polarization for penetration & double bounce scattering • Polarizations have variable responses (HH,HV,VV)

  6. SIR-C Red River Manitoba • April 11, 2004 • April 12, 2004 • April 16, 2004

  7. CV-580 Campaign 2004 • Mer Blue – CCRS • Minnedosa Pothole region – Noetix and DUC • Abitibi & Timmins wetlands - GlobeVision

  8. Polarimetry • Mostly decomposition techniques for scattering mechanism classifications • Touzi decomposition promising • GlobVision and Noetix EOADP • Little evaluation of polarization versus polarimetry

  9. RADARSAT-1/Landsat Wetland Classification Landsat-TM Landsat&Radarsat1 J. Li and W. Chen, IJRS, Vol.26, 2005

  10. RADARSAT2 Better classification than RADARSAT1-Landsat Landsat&Radarsat1 Classification (J. Li and W. Chen, IJRS, Vol.26, 2005) Touzi-s  Wetland classification Obog 1 (carex), Obog 2(vaccinium)

  11. GlobVision Data Fusion & Classification • Multi-channel data sets • Synergism with VIR &/or other frequencies • Classification accuracy for evaluation

  12. 18 channel data set Linear – HH, HV, VV Circular – LL, LR, RR Total power – TP Conjugate syntheses – HH-HV*, HH-VV*, HV-VV* Averaged phase – φHH-VV, φ LL-LR, φ LL-RR, φ LR-RR Block averaged phase - ФHH-VV, Ф LL-LR, Ф LL-RR, Ф LR-RR

  13. GlobVisionClassification Results

  14. NoetixSeparabilityAnalysis 243 possible combinations of separability using East, West and combinations of both • •Single Polarization • •Ratio • •Combination • •Cloude Decomposition • •Freeman-Durden Decomposition • •Pauli Decomposition

  15. NoetixSeparabilityAnalysis Separating Shallow Marsh (veg wo/ Water) from Deep Marsh (veg w/ Water) TD value minimum 1.6

  16. NoetixSeparability Analysis

  17. NoetixLinear Polarizations (HH, VV) (VV, HV) (HH, HV) HH – HV space seems the best combination of polarizations

  18. Noetix HH and HV

  19. NoetixHH and Linear Polarization Ratios (HH, HH/HV) (HH, HH/VV) (HH, VV/HV) The HH/HV improves the separability between two classes; Combination of HH and HH/HV is the best

  20. NoetixHHPolarizations Ratios

  21. NoetixCircular Polarizations (RR, RL) (LL, RR) (LL, RL) The two classes are close together in the circular polarization space

  22. NoetixCircular Polarizations LL/RL holds certain separability

  23. NoetixCloude Decomposition H-a Space

  24. NoetixCloude Decomposition R=H G=Alpha B=A alpha H

  25. NoetixCloude Decomposition From scatter-plot to classification Blue = low-medium entropy multiple scattering; double or even bounce Red = low entropy surface scattering Green= Medium entropy surface scattering Yellow=multiple scattering

  26. NoetixCloude Decomposition

  27. NoetixFreeman-Durden Decomposition R= double bounce scattering G= volume (vegetation) scattering B= surface scattering

  28. NoetixPauli Decomposition R= |HH+VV| (=Spherical scattering) G= |HH-VV| (= Double bounce scattering) B= |HV+VH| (= Other scattering)

  29. Next Steps • Complete compact polarimetry evaluation with GobeVision and Noetix data sets • Acquire additional R2, Terra-SAR and PALSAR data sets of Mer Blue for further evaluation

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