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Jeffrey D. Warren

Publications and source records attributed to Jeffrey D. Warren.

2 recordsLinked to original sources

Using topographic lidar data to delineate the North Carolina Shoreline

In North Carolina, shoreline change rates are an important component of the state's coastal management program. To enhance methods of measuring shoreline change, the NC Division of Coastal Management (DCM) is considering using mean high water (MHW) shorelines extracted from lidar data together with traditional wet/dry shorelines digitized from aerial photography. To test their compatibility, a wet/dry line and MHW shoreline derived from a concurrent 2004 oceanfront photography and lidar dataset were compared along a distance of 244 km. Results show that the MHW shoreline was seaward of the wet/dry shoreline by 2.82 m on average, and that this offset biased shoreline change rates by an average of 0.05 m/yr. The offset was greatest on low-sloping beaches experiencing higher water levels at the time of photography, but overall was small enough to suggest that the MHW shoreline can be a reliable substitute for the wet/dry shoreline.

North Carolina↗

Management applications of lidar-derived mean high water shorelines in North Carolina

The accuracy of shoreline change analysis is dependent on how the shoreline is defined and the consistency of the techniques(s) used to define it. Using the concurrent lidar (light detection and ranging) and orthophotography dataset from August and September of 2004 covering North Carolina's 516 kilometers of barrier island oceanfront, Limber et al. (2007) examined the spatial relationship between two common shoreline definitions used in shoreline change analysis, mean high water [MHW] derived from lidar data and the wet/dry line digitized from orthophotography. Here, we summarize this work and extend the analysis with a comparison between two different methods of MHW shoreline extraction from liar data: a profile-based method (Stockdon et al., 2002) and a method based on correction of the lidar data to a MHW datum (Hess et al., 2005). Potential bias generated by using these different shoreline types together can affect not only the accuracy of shoreline change analysis, but also the coastal management policies and decision that rely on it. Therefore, the implications of this study potential extend far beyond North Carolina and Atlantic Coast of the United States.

North Carolina↗