Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models

Openness is proposed as a visualization technique for the archaeological interpretation of digital terrain models derived from airborne laser scanning. In contrast to various shading techniques, openness is not subject to directional bias and relief features highlighted by openness do not contain any horizontal displacement. Additionally, it offers a clear distinction between relief features and the surrounding topography, while it highlights both the highest and lowest parts of features. This makes openness an ideal tool for mapping and outlining of archaeological features. A comparison with sky-view factor and local relief model visualizations helps to evaluate advantages and limits of the technique.

[1]  M. V. Leusen,et al.  Visibility and the Landscape: an Exploration of GIS Modelling Techniques? , 2004 .

[2]  M. Llobera Building Past Landscape Perception With GIS: Understanding Topographic Prominence , 2001 .

[3]  B. Devereux,et al.  Visualisation of LiDAR terrain models for archaeological feature detection , 2008, Antiquity.

[4]  Ross A. Hill,et al.  A Comparison of Visualization Techniques for Models Created from Airborne Laser Scanned Data , 2012 .

[5]  M. Feraa,et al.  DOCUMENTATION AND ANALYSIS OF ARCHAEOLOGICAL SITES USING AERIAL RECONNAISSANCE AND AIRBORNE LASER SCANNING , 2007 .

[6]  D. Cowley,et al.  Interpreting archaeological topography : airborne laser scanning, 3D data and ground observation , 2013 .

[7]  Žiga Kokalj,et al.  Application of sky-view factor for the visualisation of historic landscape features in lidar-derived relief models , 2011, Antiquity.

[8]  Paolo Forlin,et al.  A Generic Toolkit for the Visualization of Archaeological Features on Airborne LiDAR Elevation Data , 2011 .

[9]  S. Crutchley,et al.  New light on an ancient landscape: lidar survey in the Stonehenge World Heritage Site , 2005, Antiquity.

[10]  Krištof Oštir,et al.  Visualizations of lidar derived relief models , 2013 .

[11]  R. Hesse,et al.  LiDAR‐derived Local Relief Models – a new tool for archaeological prospection , 2010 .

[12]  Klemen Zaksek,et al.  Sky-View Factor as a Relief Visualization Technique , 2011, Remote. Sens..

[13]  Roderik Lindenbergh,et al.  REVEALING CELTIC FIELDS FROM LIDAR DATA USING KRIGING BASED FILTERING : Rapport - , 2006 .

[14]  Wolfgang Neubauer,et al.  Prospecting Archaeological Landscapes , 2012, EuroMed.

[15]  C. Briese,et al.  Full-waveform airborne laser scanning as a tool for archaeological reconnaissance , 2007 .

[16]  Norbert Pfeifer,et al.  Optimisation of LiDAR derived terrain models for river flow modelling , 2008 .

[17]  Die hinterlassene Landschaft : Prospektion und Interpretation in der Landschaftsarchäologie , 2013 .

[18]  M. Shirasawa,et al.  Visualizing topography by openness: A new application of image processing to digital elevation models , 2002 .

[19]  N. Pfeifer,et al.  Derivation of a countrywide river network based on Airborne Laser Scanning DEMs - results of a pilot study , 2011 .

[20]  M. Pregesbauer,et al.  OBJECT VERSUS PIXEL – CLASSIFICATION TECHNIQUES FOR HIGH RESOLUTION AIRBORNE REMOTE SENSING DATA , 2013 .