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Visualization of lidar-derived relief models for detection of archaeological features

Štular, Benjamin ; Kokalj, Žiga ; Oštir, Krištof ; Nuninger, Laure

Journal of archaeological science, 2012-11, Vol.39 (11), p.3354-3360 [Periódico revisado por pares]

Elsevier Ltd

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  • Título:
    Visualization of lidar-derived relief models for detection of archaeological features
  • Autor: Štular, Benjamin ; Kokalj, Žiga ; Oštir, Krištof ; Nuninger, Laure
  • Assuntos: Archaeology ; Archaeology and Prehistory ; Computer Science ; Engineering Sciences ; Environmental Engineering ; Environmental Sciences ; High-resolution DEM ; Humanities and Social Sciences ; Lidar ; Methodology ; Signal and Image Processing ; Visualisation
  • É parte de: Journal of archaeological science, 2012-11, Vol.39 (11), p.3354-3360
  • Descrição: This paper presents visualisation techniques of high-resolution digital elevation models (DEMs) for visual detection of archaeological features. The methods commonly used in archaeology are reviewed and improvements are suggested. One straightforward technique that has so far not been used in archaeology – the shift method – is presented. The main purpose of this article is to compare and evaluate different visualisation methods. Two conclusions have been reached. Where a single method must be chosen – for printing or producing digital images for non-professionals – the use of sky view factor or slope gradient is endorsed, both presented in greyscale. Otherwise interpreters should choose different techniques on different terrain types: shift on flat terrain, sky view factor on mixed terrain, slope gradient on sloped terrain and sky view factor (preferably as a composite image with slope gradient) on rugged terrain. ► Comparison of visualisation techniques of lidar-derived DEMs for archaeology. ► We find that there is no single best method. ► We conclude that different methods must be chosen on different terrain types. ► As a single overall method the use of sky view factor or slope gradient is endorsed.
  • Editor: Elsevier Ltd
  • Idioma: Inglês
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