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Articles

Terrain representation using orientation

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Pages 479-491 | Received 18 Jun 2021, Accepted 15 Jan 2022, Published online: 03 Mar 2022
 

ABSTRACT

A terrain data model using orientation rather than elevation permits more efficient analysis and stores its data in a multi-band raster. Representation techniques from the computer graphics industry are readily adopted with this data model. A common data model for terrain surfaces–the raster digital elevation model (DEM)–carries with it limitations by emphasizing height. Derived products such as relief shading require additional processing to determine orientation, even though they are used more frequently than those relying on elevation (e.g. hypsometric tinting). We show some of the benefits of encoding and analyzing terrain based on surface orientation, an approach that uses normal vectors stored as multi-band raster, the data storage convention in the computer graphics industry. A change in the data model and the conceptualization of the surface’s defining characteristics allows relief shading methods to run faster than conventional tools. Processing efficiencies are especially useful for more advanced shading models that may employ hundreds of relief shading calculations. In addition, an orientation-focused approach to terrain permits cartographic techniques to parallel common computer graphics methods. This project explores one such method, normal-mapping, an effect that adds texture to conventional relief shading by perturbing surface normal vectors.

Data Availability Statement

Python source code for the ArcGIS Pro toolbox developed as part of this project, along with associated data and configuration files, is available in the Zenodo repository at Trantham and P. Kennelly (Citation2021) “Orientation Toolbox for ArcGIS Pro” https://doi.org/10.5281/zenodo.5801684

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplemental data

Supplemental data for this article can be accessed here.

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