Geospatial Information Science and Engineering (GIScE)
M.P.S., M.S., Ph.D.
Geospatial Information Science and Engineering is designed for specialized study in spatial information acquisition, analysis, modeling and applications.
This includes theoretical and applied projects in sensing systems and the location, measurement, analysis and description of ground features and earth resources. It also includes use of geographic information systems (GIS) to incorporate spatial data into a wide range of environmental and engineering problems.
Illustrative areas in this option include, but are not limited to:
- Remote sensing and digital image/video analysis
- Geographic information systems (GIS)
- Spatial and spatiotemporal databases
- Artificial intelligence/machine learning in spatial analysis and modeling
- Environmental resources monitoring, modeling and assessment
The GIScE program is unique in that it offers not only core knowledge within the discipline but also supports interdisciplinary interactions with other environmental study areas within our department (e.g. hydrology, ecological engineering), within our school (e.g. biology, forest management) and within the adjacent Syracuse University (e.g. social studies, geography, computer and electrical engineering).
Geospatial Information Science and Engineering is designed for specialized research in spatial information acquisition, analysis, modeling and applications. This includes theoretical and applied study in sensing systems and the location, measurement, analysis and description of ground features and earth resources. It also includes use of geographic information systems (GIS) to incorporate spatial data into a wide range of environmental and engineering problems.
Program prerequisite or co-requisite courses include at least one year of physics and one engineering science course in surveying, numerical methods, or computer science.Program mastery courses include at least one course (3+ credit hours) in each of the four areas of competence listed below (illustrative courses are listed in parenthesis).
- Remote sensing (e.g., Principles of Remote Sensing, Remote Sensing of the Environment)
- Geographic information systems (e.g., Introduction to Spatial Information, GIS for Engineers, GIS-Based Modeling, Introduction to Global Positioning Systems)
- Spatial analysis and programming (e.g., Spatial Analysis, Digital Image Analysis, Numerical and Computing Methods, Systems Engineering, Design and Analysis of Algorithm, Introduction to Artificial Neural Networks, Introduction to Database Management Systems, Data Mining, Artificial Intelligence)
- Statistics (e.g., Statistical Analysis, Multivariate Statistical Methods, Nonparametric Statistics, Analysis of Variance, Regression Analysis, Map Accuracy Assessment, Sampling Methods)
Students in the MPS program will take additional coursework in at least one of these areas, MS students will take additional coursework in at least two areas, and Ph.D. students will take additional coursework in at least three of these areas.
In addition to courses from the four areas listed above, there is flexibility for students interested in supplementary courses. For example, students in the past have expanded their knowledge in geography, ecology, forestry, systems analysis, electrical/computer engineering and mathematics. These courses are identified in consultation with the Major Professor and Steering Committee.
- Georgios E. Mountrakis; firstname.lastname@example.org
geographic information systems, remote sensing, spatiotemporal analysis, land cover land use change, climate change, biogeography, coupled human and natural systems
- Lindi J. Quackenbush; email@example.com
geospatial information systems, spatial measurements, remote sensing and image processing, particularly focused on spatial techniques for both urban and forest classification, spatial analysis