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Processing Coastal Lidar Time Series

Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

In this chapter, we analyze time series of lidar data point clouds to assess the point density, gaps in coverage, spatial extent and accuracy. Based on this analysis and a given application we select appropriate resolution and interpolation method for computation of raster-based digital elevation model (DEM). We explain computation of DEMs by per raster-cell averaging, two types of splines. Assessment of systematic error using geodetic benchmarks or other ground truth point data and correction of any shifted DEMs is the final step in creating a consistent DEM time series.

Keywords

Point Cloud Digital Elevation Model Point Density Lidar Data Raster Cell 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.Department of PhysicsNorth Carolina State UniversityRaleighUSA
  2. 2.Department of Marine, Earth and Atmospheric SciencesNorth Carolina State UniversityRaleighUSA
  3. 3.Center for Geospatial AnalyticsNorth Carolina State UniversityRaleighUSA
  4. 4.Department of Civil, Construction and Environmental EngineeringNorth Carolina State UniversityRaleighUSA

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