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Mapping Sciences
Environmental and Resource Engineering M.P.S.

The Master of Professional Studies (MPS) in Mapping Sciences provides a non-thesis graduate degree, particularly suited to professionals interested in the development and practice of mapping technologies for environmental and engineering applications. The MPS in Mapping Sciences requires the completion of appropriate graduate-level coursework. After taking core courses in geographic information systems, remote sensing, image processing, and global positioning systems, students take advanced courses in the mapping sciences, as well as establish breadth across areas such as statistics, computing, and environmental sciences and management. A comprehensive projector practicum completes the MPS degree requirements. Study programs are flexible and are tailoredto the interests and strengths of individuals. Uponcompletion of the program, students must demonstrate competency in spatial data acquisition and fundamental spatial analysis concepts.

Recent topics from completed MPS projects:

  • Plane Surveying Derived Coordinates Vs. Grid Coordinates
  • Comparison Of Lidar And Survey-Based Terrain Models
  • Mapping Techniques in the Rehabilitation of the Earlville Reservoirs
  • Parcel Owner Negligence as Related to Owner Residency: An Exploration of Property Code Violations in Syracuse, NY
  • Use of GIS and Programming in Urban Planning Research and Operations
  • An Accuracy Assessment of a GPS Unit Through Wet and Dry Canopy

Participating faculty

  • Jungho Im—Assistant Professor since 2007
    Dr. Im’s research interests include environmental remote sensing focusing on urban and vegetation, GIS-based modeling, and algorithm development.
  • Giorgos Mountrakis—Assistant Professor since 2005
    Dr. Mountrakis’ expertise includes image analysis (satellite imagery, aerial photography). spatiotemporal geographic modeling using machine learning methods (e.g. neural networks) and spatial statistics.
  • Lindi Quackenbush—Assistant Professor since 2004
    Dr Quackenbush’s research interests are in the fields of remote sensing and image processing, particularly focused on spatial techniques for both urban and forest classification.

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