TU3.L09 - SPACEBORNE FULLY POLARIMETRIC TIME-SERIES DATASETS FOR LAND COVER ANALYSIS
1. SPACEBORNE FULLY POLARIMETRIC TIME-SERIES DATASETS FOR LAND COVER ANALYSIS IETR – UMR CNRS 6164 SAPHIR Team University of Rennes 1 Rennes, France IGARSS – 2010 SAPHIR LETG – UMR CNRS 6554 COSTEL University of Rennes 2 Rennes, France Cécile MARECHAL, Eric POTTIER, Laurence HUBERT-MOY Samuel CORGNE, Sophie ALLAIN, Stéphane MERIC
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3. Objectives Evaluating Radarsat 2 data: - to delineate wetlands & Map vegetation ; - Identify agricultural practices; - determine watercycle and waterlevels. Evaluate the contribution of both very high resolution optical data and radar data for wetlands delineation and characterization .
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5. SOAR – EU Evaluation of RADARSAT-2 quad-pol data for functional assessment of wetlands (Id6842) Polarimetric SAR data analysis Biophysical parameter inversion (soil moisture) Optical data analysis Image geocoding Ground truth campaigns SOAR – EU Project COSTEL SAPHIR
27. Radarsat-2 Pre-Processing Data Extract [ T3 ] Post-Processing Methodology Polarimetric Decomposition Theorems Polarimetric descriptor sensitive to the Temporal Variability of the marsh flooded areas 1st Qualitative analysis Pauli RGB RADARSAT 2 H A
28. Entropy Entropy Coeff. Of Variation Sougeal Le Mesnil Sougeal Sougeal Le Mesnil Le Mesnil POLSAR Descriptor
29. Radarsat-2 Pre-Processing Data Extract [ T3 ] Post-Processing Methodology Supervised Classification ML – Wishart Classification procedure 1st Qualitative analysis Pauli RGB ML - Wishart RADARSAT 2
30. Urban area Open water Flooded area Grassland Land Low chlorofilian activity Forest Medium chlorofilian activity Supervised ML – Wishart Classification Confusion matrix: 78% to 94% of good classification POLSAR Classification
31. Radarsat-2 Pre-Processing Data Extract [ T3 ] Post-Processing Methodology GeoCoding T3 Matrix 46 G.C.P rms: 0.9 pix Pauli RGB ML - Wishart 1st Qualitative analysis RADARSAT 2
33. Urban area Open water Flooded area Grassland Land Low chlorofilian activity Forest Medium chlorofilian activity Supervised ML – Wishart Classification Radarsat-2 POLSAR Classification
34. Urban area Open water Flooded area Grassland Land Low chlorofilian activity Forest Medium chlorofilian activity Supervised Classification ALOS – AVNIR (4 bands) Optical Classification Confusion matrix: 88% to 99% of good classification
35. RADAR – OPTICAL Complementary Information DATA FUSION (?) Outlook 14 March 2010 16 March 2010
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