The Waterloo Laboratory for GeoSpatial Technology and Remote Sensing (GeoSTARS Lab) is dedicated to
   research, development and improvement of remote sensing and GIS technologies for geospatial applications.
   The following is a list of projects, both past and present, undertaken by the GeoSTARS Lab.

   Ongoing Projects   Completed Projects
   • Development of an Oil Spill Emergency Mapping System Using Internet GIS, MSc project
   • Automated extraction of geometric information from RADARSAT images, U Waterloo
   • Use of lidar data for large-scale urban map update, Wiser Foundation
   • Automated dark spot detection from Radarsat SAR imagery, MSc project
   • Automated segmentation of multi-sensor remotely sensed data, PhD project
   • DEM uncertainty analysis in watershed runoff modeling, PhD project
   • Validation of RADARSAT-2 InSAR-derived DEMs, CSA/CCRS
   • Use of Multi-temporal Satellite Images for Great Lakes Water Quality Assessment , MSc project, Environment
      Canada
   • Semi-automated road extraction from very high resolution satellite imagery, MSc project
   • Automated extraction of 3D buildings from lidar point clouds and intensity data, MASc project
   • Automated extraction of transportation networks from high-resolution satellite imagery, NSERC
   • Comparison of satellite derived DEMs and conventional aerial methods, MTO
   • Engineering survey collection and automation of pavement condition surveys, MTO
   • High accuracy image metrology from mobile image sequences, MTO
   • Enhancing photogrammetric mapping using airborne GPS and softcopy, MTO
   • Impact of chloride concentrations on surface water quality of urban watersheds using Landsat imagery, MES
      project
   • Automated ship detection from spaceborne SAR Imagery, MSc project
   • Automated extraction of buildings from IKONOS imagery by integrating spectral and spatial information,
      MASc project
   • Monitoring urban land cover changes using multi-date Landsat TM images, MEng project
   • Remote sensing of urban heat islands in the City of Toronto, MEng project
   • 3D reconstruction of underground utilities using photogrammetric methods, MASc project, City of Toronto
   • Integration of remote sensing and GIS for improving road safety analysis, MASc project
   • Web-based GIS application for managing fish species at risk, MASc project, Fisheries and Oceans Canada
   • Automatic extraction of DEMs from IKONOS In-track stereo images, MASc project, Ministry of Transportation
      Ontario
   • GIS-based hydrological modeling in the Toronto region, MEng project
   • Fuzzy similarity and its application to high resolution colour remote sensing image processing, MASc project
   • Urban change detection and population prediction modeling using multitemporal Landsat TM images, MASc
      project
   • Semi-automated extraction of urban road networks by geometric analysis of IKONOS imagery, MASc project
   • Prototyping a GIS-based spatial decision support system in a manufacturing environment, MASc project
   • Watershed systems modeling under uncertainty, MEng project
   • A fuzzy-stochastic modal for assessing air pollution risks, MEng projectt