United States Department of Transportation
i
NCDOT Wetland Modeling Program: Development of Tidal Wetland Models using QL2 LiDAR
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2018-11-20
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[PDF-1.69 MB]
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Edition:Final Report, March 16, 2015 – August 15, 2018
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Abstract: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.
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