Projects


  • Projects at University of Maryland Eastern Shore GIS Lab


    Geospatial Information Technologies Internship Program:

    The Internship provides students, especially minorities, with technical, analytical, academic, scientific, and social skills that prepare them for a successful collegiate career. Students that complete this program will have a decided edge on others competing in the new global job market.  Click here for more information on our summer program

    Living Marine Resources Cooperative Science Center:

    The University of Maryland Eastern Shore (UMES) is currently engaged in a variety of studies that address: fisheries (finfish and shellfish); barrier island ecology; non-point source pollution in coastal bays; investigations of diseases of wild fish; energy flow in marine systems; nutrient cycling; ecological studies in large marsh ecosystems.Habitat assessment including identification of essential fish habitats, mapping of and use of GIS to develop data bases charting the distribution of fishes;

     


    Past Projects at University of Maryland Eastern Shore GIS Lab


    A Fuzzy Accuracy Assessment of the Mid-Atlantic Gap Analysis Land Cover Map Using Airborne Videography:

    Rasberry, D. Ann 1, and Alexa J. McKerrow 2
    1Maryland Gap Analysis Project, Princess Anne, MD; darasberry@umes.edu
    2North Carolina Gap Analysis Project, Raleigh, NC; mckerrow@unity.ncsu.edu


    An accuracy assessment has been done for the final Mid-Atlantic Gap Analysis land cover maps. The 62 land cover types mapped in the three-state area (Maryland, Delaware, New Jersey) represent types that vary in their ecological and structural similarity, therefore a fuzzy assessment was used to determine the accuracy of the maps. A stratified random sampling design with a target of forty assessment points per cover class was used. A systematic grid of airborne videography data was used to gather the assessment points. The final accuracies are weighted based on the areal extent of the mapped classes. The fuzzy error matrix used in the assessment and the per-class accuracies will be presented. The patterns of land cover and errors in the Mid-Atlantic study area will be discussed with respect to the suitability of the map for a variety of uses.