Haack, Barry NHammann, Mark Gregory2017-01-292017-01-292016https://hdl.handle.net/1920/10597The fusion of electro-optical (EO) multi-spectral satellite imagery with Synthetic Aperture Radar (SAR) data was explored with the working hypothesis that the addition of multi-band SAR will increase the land-cover (LC) classification accuracy compared to EO alone. Three satellite sources for SAR imagery were used: X-band from TerraSAR-X, C-band from RADARSAT-2, and L-band from PALSAR. Images from the RapidEye satellites were the source of the EO imagery. Imagery from the GeoEye-1 and WorldView-2 satellites aided the selection of ground truth.176 pagesenCopyright 2016 Mark Gregory HammannRemote sensingGeographic information science and geodesyGeographyData FusionLand Cover ClassificationRemote SensingSARSatellite ImagerySynthetic Aperture RADARLand Cover Classification Accuracy from Electro-Optical, X, C, and L-Band Synthetic Aperture Radar Data FusionDissertation