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Geospatial Information Science and Engineering (GIScE)
Environmental and Resource Engineering M.S. & Ph.D.

The GIScE program offers the opportunity to study a wide range of environmental phenomena using remote sensing and GIS methods. The list of current projects and recent publications below provides a more detailed insight on our research activities.

Current projects (ordered by year awarded)

  • Satellite-derived anthropogenic land use/land cover changes: Integrating detection, modeling and educational approaches, Dr. Mountrakis (PI), NASA New Investigator Program, $359,000, Duration: 2008-2011. More Information
  • Bridging the temporal mismatch between remotely-sensed land use changes and field-based water quality/quantity observations, Dr. Mountrakis (PI with Karin Limburg, Myrna Hall and Bongghi Hong), Syracuse Center of Excellence, $100,000, Duration: 2008-2009. More Information
  • Establishing a Novel Forest Assessment Method: The Forestless Volume Indicator. Dr. Mountrakis (PI), USDA Forest Service, ~$120,000 (including 50% ESF match), Duration: 2008-2010. More Information
  • Impacts of Green Infrastructure on Directly Connected Impervious Cover and Spectral Signatures: Drs. Quackenbush and Im (Co-PI with Ted Endreny (PI)), Syracuse Center of Excellence, $7,564, Duration: 2008-2009.
  • Incorporating Spatially-Explicit Uncertainty Metrics in Image-Derived Classification of Impervious Surfaces: Dr. Mountrakis (PI), National Science Foundation, $50,000, Duration: 2007-2008. More Information
  • An Integrated Monitoring/Modeling Framework for Assessing Human-Nature Interactions in Urbanizing Watersheds: Wappinger and Onondaga Creek Watersheds, Dr. Mountrakis (Co-PI with Karin Limburg (PI), Myrna Hall, Bongghi Hong and Peter Groffman), Syracuse Center of Excellence, $300,000, Duration: 2006-2008. More Information
  • Investigating New Advances in Forest Species Classification, Dr. Quackenbush (PI with Chuck Kroll), USDA McIntire-Stennis Cooperative Forestry Research Program, $78,200, Duration: 2005-2008
  • Remote Sensing-assisted Hazardous Waste Site Monitoring Decision Support System: Dr. Im (Participant), NASA REASoN, $2,400,000, Duration: 2003-2008.

Recently completed projects

  • Applying Remote Sensing to Forest Health Issues Related to Invasive Species: Dr. Quackenbush (Co-PI) with James Hassett (PI), NASA, $500,000, Duration: 2006-2007 (5th and final year of project)
  • Monitoring Human-Induced Land Use Changes along the Great Lakes: Dr. Mountrakis (PI), Great Lakes Research Consortium, $10,000, Duration: 2006-2007. More Information
  • Dynamic Nonpoint Pollution Model Development For the Carmans River; Phase II: Dr. Quackenbush (Co-PI) with Lee Herrington (PI), New York State Department of State, $107,414, Duration: 2005-2006
  • Synergetic Use of Satellite Imagery and Ancillary Data for Impervious Surface Estimation in the contiguous US: Dr. Mountrakis (PI), National Academies of Science and US Geological Survey, ~$80,000, Duration: 2004-2005

Selected Pubications (within 5 years)

  • 2008
    • Im, J. and J.R. Jensen, 2008. Hyperspectral remote sensing of vegetation, Geography Compass, in press.
    • Im, J., J.R. Jensen, and M.E. Hodgson, 2008. Optimizing the binary discriminant function in change detection applications, Remote Sensing of Environment, 112:2761-2776.
    • Im, J., J.R. Jensen, M.E. Hodgson, 2008. Object-based land cover classification using high posting density lidar data, GIScience and Remote Sensing, 45(2):209-228.
    • Im, J., J.R. Jensen, and J.A. Tullis, 2008. Object-based change detection using correlation image analysis and image segmentation techniques, International Journal of Remote Sensing, 29(2):399-423.
    • Jensen, J.R., J. Im, P. Hardin, and R.R. Jensen, 2008. Chapter 18. Image Classification, in Handbook of Remote Sensing, in press
    • Jensen, J.R., M.E. Hodgson, M. Garcia-Quijano, and J. Im, 2008. A remote sensing and GIS-assisted spatial decision support system for hazardous waste site monitoring, Photogrammetric Engineering & Remote Sensing, in press.
    • Mountrakis G. (2008). Geographic Data Mining: An Introduction. Invited chapter to appear in the ASPRS Manual of GIS.
    • Mountrakis G. (2008). Next generation classifiers: Focusing on integration frameworks. Highlight article for October, 2008 issue of Photogrammetric Engineering and Remote Sensing.
    • Mountrakis G., and K. Gunson (to appear). Multi-scale spatiotemporal analyses of moose-vehicle collisions: A case study in northern Vermont. International Journal of Geographical Information Science.
    • Rhee, J., J. Im, G.J. Carbone, and J.R. Jensen, 2008. Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas, Remote Sensing of Environment, 112:3099-3111.
    • Watts R. and G. Mountrakis (2008). Transportation Spatial Indicators: Relating the Transportation Network to the Land. Invited chapter to appear in the ASPRS Manual of GIS.
  • 2007
    • Im, J., J. Rhee, J.R. Jensen, and M.E. Hodgson, 2007. An automated binary change detection model using a calibration approach, Remote Sensing of Environment, 106:89-105.
    • Jensen, J.R. and J. Im, 2007. Remote Sensing Change Detection in Urban Environments, In R.R. Jensen, J.D. Gatrell and D. McLean (eds.): Geo-spatial Technologies in Urban Environments: Policy, Practice, & Pixels, Second Edition, Berlin: Springer-Verlag, pp.7-32.
    • Quackenbush, L.J., 2007.  Separating Types of Impervious Land Cover Using Fractals, in Remote Sensing of Impervious Surfaces (Q. Weng, Ed.), CRC Press, Boca Raton, Florida, pp. 119-142.
    • 2006
    • Im, J., 2006. Neighborhood correlation image analysis for change detection using different spatial resolution imagery, Korean Journal of Remote Sensing, 22(5):337-350.
    • Jensen, J.R., M. Garcia-Quijano, B. Hadley, J. Im, Z. Wang, A.L. Nel, E. Teixeira, and B.A. Davis, 2006. Remote sensing agricultural crop type for sustainable development in South Africa, Geocarto International, 21(2):5-18.
    • Rhee, J. and J. Im, 2006. Non-point source critical area analysis and embedded RUSLE model development for soil loss management in the Congaree river basin in South Carolina, USA, The Journal of GIS Association of Korea, 14(4):363-377.
    • Wu, W., C.A. Hall, F.N. Scatena, L.J. Quackenbush, 2006.  Spatial modelling of evapotranspiration in the Luquillo Experimental Forest of Puerto Rico using remotely-sensed data.  Journal of Hydrology, 328(3-4): 733-752.
  • 2005
    • Im, J., C.H. Park, and H. Sohn, 2005. Remote Sensing and Digital Image Processing - translated into Korean from "Introductory Digital Image Processing (J.R. Jensen), 3rd ed., Upper Saddle River, NJ: Prentice Hall," SigmaPress Co., South Korea, 580 p.
    • Im, J. and J.R. Jensen, 2005. A change detection model based on neighborhood correlation image analysis and decision tree classification, Remote Sensing of Environment, 99:326-340.
    • Im, J., J.R. Jensen, and J.A. Tullis, 2005. Development of a remote sensing change detection system based on neighborhood correlation image analysis and intelligent knowledge-based systems, IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea, July 27.
    • Mountrakis G., P. Agouris, A. Stefanidis, (2005). Adaptable User Profiles for Intelligent Geospatial Queries. Transactions in GIS, Vol. 9, No. 4, pp. 561-583.
    • Stefanidis A., C. Georgiadis, P. Agouris, G. Mountrakis, (2005). Suitability Assessment of Ground Level Imagery for Geospatial VR Modeling. International Archives of Photogrammetry and Remote Sensing - 3D Virtual Reconstruction and Visualization Conference, Venice, Italy.
  • 2004
    • Im, J. and C.H. Park, 2004. Neural networks approach to fire severity mapping from a single post-fire Landsat 7 ETM+ imagery, Korean Journal of Remote Sensing, 20(1):23-38.
    • Mountrakis G., P. Agouris, A. Stefanidis, (2004). Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges. M. Vassilakopoulos, A. Papadopoulos and Y. Manolopoulos (eds.) Spatial Databases: Technologies, Techniques and Trends, Idea Group Co, pp. 294-321.
    • Mountrakis G., P. Agouris, I. Schlaisich, A. Stefanidis, (2004). Supporting Quality-Based Image Retrieval Through User Preference Learning. Photogrammetric Engineering and Remote Sensing, Vol. 70, No. 8, pp. 973-981.
    • Quackenbush, L.J., 2004.  A review of techniques for extracting linear features from imagery.  Photogrammetric Engineering and Remote Sensing, 70(12): 1383-1392.
  • 2003
    • Mountrakis G., P. Agouris, A. Stefanidis, (2003). Multitemporal Geospatial Query Grouping using Correlation Signatures. IEEE International Conference on Image Processing (ICIP) 2003, Vol. 3, pp. 545'548, Barcelona, Spain.
    • Mountrakis G., P. Agouris, (2003). Learning Similarity with Fuzzy Functions of Adaptable Complexity. 8th International Symposium on Spatial and Temporal Databases (2003), Lecture Notes in Computer Science, Vol. 2750, pp. 412-429, Santorini, Greece.
For additional information on publications, research and teaching activities please visit the corresponding faculty webpage (Dr. Im, Dr. Mountrakis, Dr. Quackenbush).

 

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