1. PCI Geomatics User Group Meeting Koreen Millard Carleton University

3. I. Peatland Classification Data: – LiDAR DEM, DSM and derivatives – Interpreted training data locations – GPS field data measurements Software: – Classification: R (randomForest package) – Data Processing: LASTools SAGA GIS Millard and Richardson (2015). Remote Sensing. 2015, 7(7), 8489-8515; doi:10.3390/rs70708489.10.3390/rs70708489

5. II. Understanding polarimetric response to spatial and temporal variability in hydrology and vegetation Data: – Radarsat-2 Fine Quad Wide (FQ1 and FQ5, ASC and DESC) 13 images 2014, 15 images 2015 – LiDAR DEM, DSM and derivatives – Classification from I – MODIS NDVI composites – Landsat-8 NDVI (3 cloud free images per year) – Field Data Water table depth (collected hourly) Surface Soil Moisture (5 cm) collected within 24 hours of acquisition Software: – PCI Geomatica SAR Polarimetry Workstation/EASI – PCI Geomatica OrthoEngine – R statistics – Trimble Business Office – Diver Office

6. Loadings GroupVariable NumberVariable NamePC1PC2PC3 1 X.2, X.3, X.40, X.41 HV, VH, HV (dB), VH (dB) Low-Positive High- Positive 2 X.17, X.19, X.30, X.31, X.33 Power due to Volume Scattering, Pedestal Height, Max of Completely UnPolarized Component, Min of Completely UnPolarized Component, Min of Received Power Mid-PositiveHigh Positive Mid- Positive 3 X.8, X.10, X.13, X.36 CP Entropy, CP Alpha, Touzi Alpha, coefficient of variation Mid-NegativeHigh-Positive Mid- Positive 4 X.12, X.18, X.22 X.23, X.27, X.37 Power due to Rough Scattering, Max Degree of Polarization, Min Degree of Polarization, min of the completely polarized component, fractional power Mid-Positive Mid to High Negative Low- Positive 5 X.24, X.32, X.34, X.35, X.38 Max of the completely polarized component, Max of the received power, Max of scattered intensity, min of the scattered intensity, total power Low NegativeHigh-Positive Low- Positive

8. III. Soil moisture retrieval in peatlands from SAR polarimetry Data: – Radarsat-2 Fine Quad Wide FQ1 and FQ5, ASC and DESC 13 images 2014, 15 images 2015 – LiDAR DEM, DSM and derivatives – MODIS NDVI composites – UAV-airphoto and DSMs. – Classification from I – Field Data Water table depth (collected hourly) Surface Soil Moisture (5 cm) collected within 24 hours of acquisition Software – PCI Geomatica SAR Polarimetry Workstation/EASI – PCI Geomatica OrthoEngine – R statistics – Agisoft Photoscan – LASTools

9. Relationship between Soil Moisture and SAR polarimetric parameters 2014 SAR Parameterr value HV (intensity)0.13 VH (intensity)0.15 Cloude Pottier Entropy-0.67 Cloude Pottier Alpha Angle-0.69 Dominant Eigenvalue0.69 Power due to Double Bounce0.27 Power due to volume scattering0.35 Power due to rough surface0.81 Pedestal Height0.43 Max degree of polarization0.66 Min degree of polarization0.71 max of the completely polarized component0.78 min of the completely polarized component0.79 max of the completely unpolarized component0.38 min of the completely unpolarized component0.37 max of the receive power0.76 min of the receive power0.37 max of the scattered intensity0.75 min of the scattered intensity0.75 coefficient of variation-0.66 fractional power0.64 total power0.75 HV db0.21 VH db0.28

10. IV. Monitoring hydrology with SAR Interferometry Data: – Remote Sensing Radarsat-2 Fine Quad Wide – FQ1 and FQ5, ASC and DESC – 13 images 2014, 15 images 2015 LiDAR DEM, DSM and derivatives – Field Data: Water table depth (collected hourly) EnviroScan Diviner Profile Soil Moisture Measurements Software: – GAMMA – Diver Office – R statistics

11. RADARSAT-2 Sigma nought LUT LiDAR DEM Freeman Durden Decomposition SAR Intensity and Ratios (HV/HH, VV/HH) Cloude-Pottier Decomposition Co/Cross-Pol Magnitude of the Correlation Coefficient Pedestal Height Total Power Co/Cross-Pol Phase Diff. Enhanced Lee Filter (7x7) LiDAR DSM, CHM Orthorectify Polarimetry Touzi Decomposition

12. lowhigh 0 cm5 cm 02 π

13. Thanks for listening! Questions or Comments? koreen_millard@carleton.ca Acknowledgements: – Jon Pasher and Lori White (EC NWRC) – Luke Copeland (University of Ottawa) – Elyn Humphreys (Carleton University) – South Nation Conservation Authority – NSERC – In-valuable field crew: Marisa Ramey, Melissa Dick, Cameron Samson, Alex Foster, Lindsay Armstrong, Julia Riddick, Keegan Smith, Melanie Langois, Doug Stiff and Fernanda Moreira Amaral