GSDI Conferences, GSDI 15 World Conference

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2D Map Visualization of Nationwide LiDAR Digital Elevation Models
Yi-Hsing Tseng

Last modified: 2016-05-03

Abstract


Meter-level resolution Digital Elevation Models (DEMs) have become widely available since airborne LiDAR systems are popular. Although displaying high-resolution DEMs with stereo viewing screen allows us to realistically experience the topographic changes, it is difficult to overlay or inter-analyze with other thematic maps. This study devotes to the theory of deriving topographic parameters from high-resolution DEMs and the visualization of the parameters as raster maps, such as hillshade maps, slope maps, aspect maps, openness maps and multi-directional hillshade maps and so on. These maps enable users to observe topographic features with two-dimensional maps. For demonstration, maps of some example topographic parameters are generated with the Global Mapper. The characteristics and advantages of each topographic parameter will be analyzed through a visual investigation of the maps. The tint scheme and color continuity of multiple frames will be discussed as well. The combination of multiple topographic parameters into a map will also be assessed to display topographic information, which meets the requirements of some particular applications. This study is expected to be useful for a variety of applications of high-resolution DEMs.

Keywords


Visualization, 2D, Digital Elevation Model, Topographic parameter, Raster mapping

References


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Loisios, D., Tzelepis, N., & Nakos, B. (2007, August). A methodology for creating analytical hill-shading by combining different lighting directions. Proceedings of 23rd international cartographic conference, Moscow (p. 78).

Veronesi, F., & Hurni, L. (2014). Changing the light azimuth in shaded relief representation by clustering aspect. The Cartographic Journal, 51(4), 291-300.

Yokoyama, R., Shirasawa, M., & Pike, R. J. (2002). Visualizing topography by openness: a new application of image processing to digital elevation models. Photogrammetric engineering and remote sensing, 68(3), 257-266.



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