Objectives 1.Derive a fine spatial resolution digital elevation model (DEM) from a large data set of synthetic aperture radar imagery from RADARSAT-2 2.To determine how data redundancy in the multi-temporal image data set can be used to improve DEM quality with respect to spatial resolution and the speckle-type error commonly associated with these data products 3.Evaluate the DEM using a high resolution LiDAR DEM available in the region of interest 4.Evaluate the DEM using the recently released SWOOP 2010 10 m DEM 5.To apply and test novel post-processing techniques to the SAR DEM to generate a topographic dataset for mapping sub-catchments in rural watersheds 6.To apply and test novel post-processing techniques to the SAR DEM for delineating variable-source areas for runoff Funding Program: OMAFRA / UofG Partnership - Research Keywords: Information Not Available Theme: Environmental Sustainability Commodity/Sector: Administration of Environmental Quality Programs