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.
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References
Abramowitz, M. and Stegun, I. (1965). Handbook of mathematical functions: with formulas, graphs, and mathematical tables, volume 55. Dover publications.
Brovelli, M. A., Cannata, M., and Longoni, U. M. (2004). LIDAR data filtering and DTM interpolation within GRASS. Transactions in GIS, 8(2):155–174.
Hofierka, J., Parajka, J., Mitasova, H., and Mitas, L. (2002). Multivariate interpolation of precipitation using regularized spline with tension. Transactions in GIS, 6(2):135–150.
Mitas, L. and Mitasova, H. (1999). Spatial interpolation. Geographical Information Systems: Principles, Techniques, Management and Applications, Wiley, 481.
Mitášová, H. and Mitáš, L. (1993). Interpolation by regularized spline with tension: I. Theory and implementation. Mathematical geology, 25(6):641–655.
Mitasova, H., Mitas, L., and Harmon, R. (2005). Simultaneous spline approximation and topographic analysis for lidar elevation data in open-source GIS. IEEE Geoscience and Remote Sensing Letters, 2:375–379. DOI: 10.1109/LGRS.2005.848533.
Mitasova, H., Overton, M., Recalde, J., Bernstein, D., and Freeman, C. (2009). Raster-based analysis of coastal terrain dynamics from multitemporal lidar data. Journal of Coastal Research, 25:207–215. DOI: 10.2112/07-0976.1.
Neteler, M. and Mitasova, H. (2008). Open source GIS: a GRASS GIS approach. New York: Springer, third edition.
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Hardin, E., Mitasova, H., Tateosian, L., Overton, M. (2014). Processing Coastal Lidar Time Series. In: GIS-based Analysis of Coastal Lidar Time-Series. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1835-5_2
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DOI: https://doi.org/10.1007/978-1-4939-1835-5_2
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