NCDOT Wetland Modeling Program: Development of Tidal Wetland Models using QL2 LiDAR

This Final Report is to summarize several main achievements of this project as follows: (1) Automation Method and its Tools for the Tidal Wetland Identification and Analysis Process using QL2; (2) Method Development for Tidal Wetland Identification Process; (3) Reliability and Flexibility of Automation Tools and Methods; and (4) User Friendly deliverables. These achievements fit the North Carolina Department of Transportation (NCDOT) research needs as: “while NCDOT has made significant advances with the concept, the process and tools of predicting wetlands using LiDAR is under-developed.” That also completes the goal of the project to provide an advanced QL2 LiDAR-based tidal wetland prediction method and automation tools based on ArcGIS for the NC coastal region. The University of North Carolina (UNC) Charlotte Wetland Assessment Method (WAM) Research Team with Axiom Research Team has successfully completed a number of valuable research topics related to tidal wetland prediction process, such as process automation, variables exploration, data mining, and statistical analysis, and best resolution selection. The acclaimed results include the deliverable WAMAT-Tidal: WAM Automation Tools - Tidal and the Users’ Guide to the Tools, tidal wetland prediction methods, and the best resolution determination method, as well as new WAMAT v4.4 & v5.1.

• Record URL:
  • https://connect.ncdot.gov/projects/research/RNAProjDocs/2016-19%20Final%20Report.pdf
• 
• Summary URL:
  • https://connect.ncdot.gov/projects/research/Pages/ProjDetails.aspx?ProjectID=2016-19
• Supplemental Notes:
  • Appendix submitted separately.
• Corporate Authors:

  University of North Carolina, Charlotte

  Department of Engineering Technology
  9201 University City Boulevard
  Charlotte, NC  United States  28233

  University of North Carolina, Charlotte

  Department of Computer Science
  Charlotte, NC  United States  28233

  Axiom Environmental

  Raleigh, NC  United States 

  North Carolina Department of Transportation

  P.O. Box 25201, 1 South Wilmington Street
  Raleigh, NC  United States  27611

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Wang, Sheng-Guo
  • Jiang, Shanshan
  • Smith, Sandy
  • Davis, Scott
• Publication Date: 2018-11-20

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Maps; Photos; References; Tables;
• Pagination: 42p

Subject/Index Terms

• TRT Terms: Automation; Data mining; Forecasting; Geographic information systems; Laser radar; Statistical analysis; Wetlands
• Identifier Terms: ArcGIS
• Geographic Terms: North Carolina
• Subject Areas: Highways; Hydraulics and Hydrology; Planning and Forecasting;

Filing Info

• Accession Number: 01710765
• Record Type: Publication
• Report/Paper Numbers: NCDOT RP 2016-19
• Files: TRIS, ATRI, USDOT, STATEDOT
• Created Date: Jul 12 2019 4:58PM