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Application of sky-view factor for the visualisation of historic landscape features in lidar-derived relief models

Published online by Cambridge University Press:  02 January 2015

Žiga Kokalj*
Affiliation:
Institute of Anthropological and Spatial Studies, Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Novi trg 2, SI-1000 Ljubljana, Slovenia Space-Si – Centre of Excellence for Space Sciences and Technologies, Aškerčeva 12, SI-1000 Ljubljana, Slovenia
Klemen Zakšek
Affiliation:
Space-Si – Centre of Excellence for Space Sciences and Technologies, Aškerčeva 12, SI-1000 Ljubljana, Slovenia University of Hamburg, Institute of Geophysics, Bundesstrasse 55, D-20146 Hamburg, Germany
Krištof Oštir
Affiliation:
Institute of Anthropological and Spatial Studies, Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Novi trg 2, SI-1000 Ljubljana, Slovenia Space-Si – Centre of Excellence for Space Sciences and Technologies, Aškerčeva 12, SI-1000 Ljubljana, Slovenia

Extract

Aerial mapping and remote sensing takes another step forward with this method of modelling lidar data. The usual form of presentation, hill shade, uses a point source to show up surface features. Sky-view factor simulates diffuse light by computing how much of the sky is visible from each point. The result is a greatly improved visibility — as shown here by its use on a test site of known topography in Slovenia.

Type
Research article
Copyright
Copyright © Antiquity Publications Ltd 2011

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References

Bewley, R., Crutchley, S. & Shell, C. 2005. New light on an ancient landscape: lidar survey in the Stonehenge World Heritage Site. Antiquity 79: 636–47.CrossRefGoogle Scholar
Bourbia, F. & Awbi, H.B. 2004. Building cluster and shading in urban canyon for hot dry climate, Part 1: air and surface temperature measurements. Renewable Energy 29: 249–62.CrossRefGoogle Scholar
Brassel, K. 1974. A model for automatic hill-shading. Cartography and Geographic Information Science 1: 1527.Google Scholar
Briese, C., Mandlburger, G., Ressl, C. & Brockmann, H. 2009. Automatic break line determination for the generation of a DTM along the river Main. Laser Scanning 38(3/W8): 236–41.Google Scholar
Challis, K., Forlin, P. & Kincey, M. In press. A generic toolkit for the visualisation of archaeological features on airborne lidar elevation data. Archaeological Prospection.Google Scholar
Challis, K., Kokalj, Ž., Kincey, M., Moscrop, D. & Howard, A.J. 2008. Airborne lidar and historic environment records. Antiquity 82: 1055–64.CrossRefGoogle Scholar
Ciglenečki, S. 1998. Tonovcov grad near Kobarid: an archaeological site. A guide. Ljubljana & Kobarid: Znanstvenoraziskovalni Center SAZU.Google Scholar
Devereux, B.J., Amable, G.S, Crow, P. & Cliff, A.D. 2005. The potential of airborne lidar for detection of archaeological features under woodland canopies. Antiquity 79: 648–60.CrossRefGoogle Scholar
Devereux, B.J., Amable, G.S. & Crow, P. 2008. Visualisation of LiDAR terrain models for archaeological feature detection. Antiquity 82: 470–79.CrossRefGoogle Scholar
Doneus, M., Briese, C., Fera, M. & Janner, M. 2008. Archaeological prospection of forested areas using full-waveform airborne laser scanning. Journal of Archaeological Science 35: 882–93.CrossRefGoogle Scholar
Duffie, J.A. & Beckman, W.A. 1991. Solar engineering of thermal processes. Second edition. New York: Wiley-Interscience.Google Scholar
Hesse, R. 2010. LiDAR-derived local relief models—a new tool for archaeological prospection. Archaeological Prospection 17: 6772.Google Scholar
Horn, B. 1981. Hill shading and the reflectance map. Proceedings of the Institute of Electrical and Electronics Engineers 69: 1447.CrossRefGoogle Scholar
Imhof, E. 1982. Cartographic relief presentation. Berlin & New York: Walter de Gruyter.CrossRefGoogle Scholar
ITT Visual Information Solutions. 2010. ENVI Software-Image Processing & Analysis Solutions. Available at: http://www.ittvis.com/ProductServices/ENVI.aspx (accessed November 9, 2009).Google Scholar
Kennelly, P.J. 2008. Terrain maps displaying hill-shading with curvature. Geomorphology 102: 567–77.CrossRefGoogle Scholar
Kershaw, A. 2003. Hadrian's Wall national mapping programme -a World Heritage Site from the air. Archaeological Prospection 10: 159–61.CrossRefGoogle Scholar
Kim, J.R., Muller, J., Gasselt, S.V., Morley, J.G., Neukum, G. & The HRSC COI Team. 2005. Automated crater detection, a new tool for Mars cartography and chronology. Photogrammetric Engineering and Remote Sensing 71: 1205–17.CrossRefGoogle Scholar
Knific, T. 2004. Na stičišču treh svetov: arheološki podatki o Goriški v zgodnjem srednjem veku. Goriški letnik 29: 530.Google Scholar
Kobler, A., Pfeifer, N., Ogrinc, P., Todorovski, L., Oštir, K. & Džeroski, S. 2007. Repetitive interpolation: a robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain. Remote Sensing of Environment 108: 923.CrossRefGoogle Scholar
Kweon, I.S. & Kanade, T. 1994. Extracting topographic terrain features from elevation maps. CVGIP: Image Understanding 59: 171–82.CrossRefGoogle Scholar
López, A. M., Lumbreras, F., Serrat, J. & Villanueva, J.J. 1999. Evaluation of methods for ridge and valley detection. Institute of Electrical and Electronics Engineers Transactions on Pattern Analysis and Machine Intelligence 21: 327–35.Google Scholar
Marks, D., Dozier, J. & Davis, R. 1979. Clear-sky longwave radiation model for remote alpine areas. Archiv für Meteorologie, Geophysik und Bioklimatologie Serie B-Klimatologie Umweltmeteorologie Strahlungsforschung 27: 159–87.CrossRefGoogle Scholar
Osmuk, N. 1992. Na lupu (Sv. Helena). Varstvo spomenikov 34: 273.Google Scholar
Robinson, D. 2006. Urban morphology and indicators of radiation availability. Solar Energy 80: 1643–8.CrossRefGoogle Scholar
Sittler, B. 2004. Revealing historical landscapes by using airborne laser—scanning -a 3D-model of ridge and furrow in forests near Rastatt (Germany). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 36(8/W2): 258–61.Google Scholar
Tian, Y.Q., Davies-Colley, R.J., Gong, P. & Thorrold, B.W. 2001. Estimating solar radiation on slopes of arbitrary aspect. Agricultural and Forest Meteorology 109: 6774.CrossRefGoogle Scholar
Wladis, D. 1999. Automatic lineament detection using digital elevation models with second derivative filters. Photogrammetric Engineering and Remote Sensing 65: 453–8.Google Scholar
Wood, J. 1996. The geomorphological characterisation of digital elevation models. PhD dissertation, University of Leicester. Available at: http://www.soi.city.ac.uk/jwo/phd (accessed December 7, 2009).Google Scholar
Yard, M.D., Bennett, G.E., Mietz, S.N., Coggins, L.G. JR., Stevens, L.E., Hueftle, S. & Blinn, D.W. 2005. Influence of topographic complexity on solar insolation estimates for the Colorado River, Grand Canyon, AZ. Ecological Modelling 183: 157–72.CrossRefGoogle Scholar
Yoëli, P. 1965. Analytische Schattierung. Ein kartographischer Entwurf. Kartographische Nachrichten 15(5): 141–8.Google Scholar
Zrc Sazu. 2010. IAPS ZRC SAZU [Institute of Anthropological and Spatial Studies ZRC SAZU]. Available at: http://iaps.zrc-sazu.si/index.php?q=en/svf (accessed November 9, 2010).Google Scholar