Improvements to NCDOT's Wetland Prediction Model

The goal for this project is to provide advanced geographic information systems (GIS)-based wetland prediction methods and tools based on LiDAR data and ArcGIS for the North Carolina Department of Transportation (NCDOT). According to the NCDOT's needs, the project proposes the scope of work as follows: (1) conduct a literature review and investigate the status of existing GIS-based methods and models of wetland type and functional assessment prediction; (2) create an automated method and tools capable of assigning North Carolina Wetland Assessment Method (NCWAM) wetland types to the results of NCDOT-predicted wetlands based on the NCWAM guideline in via the wetland type flow chart and the developed automation tools WAMAT (WAM Automation Tools); (3) develop a method to assess the wetland functional potential and condition of predicted wetlands; (4) validate the developing methods and models through field testing; and (5) prepare documentation and tools product for the proposed methods, models, and algorithms. The method and models will offer more useful information to detail wetland type prediction beyond the usual statistics for stochastic systems with random events. The model and visualization tools will automatically and vividly display wetland types and regions by data and color based on the GIS platform (ArcGIS and ArcObjects) that NCDOT currently uses. Thus, the system will be easy to use and maintain. For the wetland functional assessment, GIS-based methods and tools will be investigated or developed to determine the optimum interaction of various data in the approximation of the wetland condition matrix.

    Language

    • English

    Project

    • Status: Active
    • Funding: $224783.00
    • Contract Numbers:

      FHWA/NC/20016-16

    • Sponsor Organizations:

      North Carolina Department of Transportation

      Research and Development
      1549 Mail Service Center
      Raleigh, NC  United States  27699-1549
    • Project Managers:

      Kirby, John

    • Performing Organizations:

      University of North Carolina, Charlotte

      Department of Civil and Environmental Engineering
      9201 University City Boulevard
      Charlotte, NC  United States  28223-0001
    • Principal Investigators:

      Wang, Sheng-Guo

    • Start Date: 20150401
    • Expected Completion Date: 0
    • Actual Completion Date: 20170815
    • Source Data: RiP Project 39482

    Subject/Index Terms

    Filing Info

    • Accession Number: 01560663
    • Record Type: Research project
    • Source Agency: North Carolina Department of Transportation
    • Contract Numbers: FHWA/NC/20016-16
    • Files: RiP, STATEDOT
    • Created Date: Apr 21 2015 1:00AM