Advertisement

Virtual Restoration and Preservation of Anthropogenic Nineteenth-Century Landscapes Based on Historical Land-Use Data

  • Tomaž BerčičEmail author
Chapter
Part of the The Urban Book Series book series (UBS)

Abstract

Historical maps are a valuable source of information. The Franciscan cadastral maps comprehensively cover the entire territory of the Austro-Hungarian Empire. They are a trustworthy source of historical land-use data and information regarding past urban-planning concepts, especially due to their high geometrical precision. Studying and analysing historical land use makes it possible to reconstruct the historical cultural landscape, which is itself a significant element of cultural heritage. In studying historical maps, the most widely used analytical approach is the comparative method. Matching and overlaying historical and contemporary map data makes it possible to see and analyse changes in land use. This technique has been widely adopted and is now well established, but advanced technologies like high-resolution Lidar terrain data offer new opportunities. It is postulated that especially in rural areas, unlike land use, the terrain has not changed significantly, and the combination of detailed three-dimensional terrain data and historical land use can yield novel views on the man-made landscape of this era. The methodology presented can generate other interpretations of the available data. A combination of new technologies and techniques can provide an accurate virtual historical view and comparison with the same location in the present. The research presented offers fresh insights into what the cultural landscape looked like in the past and what actions can be taken to preserve it in the future.

Keywords

Land use Landscape Franciscan Cadaster Lidar Urban simulation 

References

  1. Ažman Momirski L (2018) Slovenian terraced landscapes. In: Varotto M, Bonardi L, Agnoletti M, Tarolli P (eds) World terraced landscapes: history, environment, quality of life. Springer (in print)Google Scholar
  2. Berčič T (2016) Discovering terraced areas in Slovenia: reliable detection with Lidar. Annales, Series Historia et Sociologia 26(3):449–468Google Scholar
  3. Council of Europe (2003) European landscape convention. https://www.coe.int/en/web/conventions/full-list/-/conventions/rms/0900001680080621. Accessed 2 June 2018
  4. Dobernik M (2002) Reproduciranje franciscejskega katastra. Arhivi 25(2):65–76Google Scholar
  5. Fuse T, Shimizu E (2004) Visualizing the landscape of old-time Tokyo (Edo City). In: Gruen A, Murai Sh, Fuse T, Remondino F (eds) ISPRS XXXVI-5/W1. Processing and visualization using high-resolution images. Pitsanulok, Thailand, November 2004. http://www.isprs.org/proceedings/XXXVI/5-W1/papers/21.pdf. Accessed 2 June 2018
  6. Gore A (1998) The digital earth: understanding our planet in the 21st century. Aust Surveyor 43(2):89–91CrossRefGoogle Scholar
  7. GURS2 (2018) E-prostor – Digitalni model višin z ločljivostjo (DMV 12,5, DMV 25, DMV 100). http://www.e-prostor.gov.si/zbirke-prostorskih-podatkov/topografski-in-kartografski-podatki/digitalni-model-visin/digitalni-model-visin-z-locljivostjo-dmv-125-dmv-25-dmv-100/. Accessed 24 Feb 2018
  8. Johnson S (2006) The ghost map: the story of London’s most terrifying epidemic—and how it changed science, cities, and the modern world. Penguin, LondonGoogle Scholar
  9. Juvancic M, Verovsek S (2017) Spatial identity (re)constructed from web-sourced imagery: comparing expert opinion with quantitative query. J Cult Heritage Manage Sustain Dev 7(2):193–207CrossRefGoogle Scholar
  10. Kačičnik Gabrič A (2008) Dragoceni original ni več izpostavljen obrabi: digitalizacija gradiva franciscejskega katastra v Arhivu RS. Delo, January 10thGoogle Scholar
  11. Loeper N, Ott M, Momirski LA (2016) Terraced landscapes: new design solutions within the transformation of artificial landscapes. Annales, Series Historia et Sociologia 26(3):523–536Google Scholar
  12. Lowenthal D (2005) Natural and cultural heritage. Int J Heritage Stud 11(1):81–92CrossRefGoogle Scholar
  13. Maiellaro N, Lerario A (2005) Cultural heritage and web-mapping. Paper presented at the 8th AGILE Conference on GIScience, Estoril, Portugal, 26–28 May 2005Google Scholar
  14. Minner J, Chusid J, Shi X, Feng Y, Sun F, Azel N, Taru T (2017) Visualizing the past, present, and future of New York City’s 1964–5 world’s fair site using 3D GIS and procedural modeling. Cornell University, IthacaGoogle Scholar
  15. Mongus D, Cekada MT, Zalik B (2013) The analysis of an automatic method for digital terrain model generation from Lidar data on Slovenian test cases. Geodetski vestnik 57(2):245–259CrossRefGoogle Scholar
  16. Müller P, Wonka P, Haegler S, Ulmer A, Van Gool L (2006) Procedural modeling of buildings. ACM Trans Graph 25(3):614–623CrossRefGoogle Scholar
  17. Petek F (2004) Land use in Slovenia. In: Orožen Adamič M (ed) Slovenia: a geographical overview. Association of the Geographical Societies of Slovenia, Ljubljana, pp 105–108Google Scholar
  18. Rekittke J, Paar P (2010) Past pictures: landscape visualization with digital tools. In: Bloemers T, Kars H, Van der Valk A, Wijnen M (eds) The cultural landscape & heritage paradox: protection and development of the Dutch archaeological-historical landscape and its European dimension. Amsterdam University Press, Amsterdam, pp 309–320Google Scholar
  19. Sanderson EW, Brown M (2007) Mannahatta: an ecological first look at the Manhattan landscape prior to Henry Hudson. Northeast Nat 14(4):545–570CrossRefGoogle Scholar
  20. Schwab K (2017) The fourth industrial revolution. Crown Business, New YorkGoogle Scholar
  21. Vercelloni V (1994) Historischer Gartenatlas: Eine europäische Ideengeschichte. Deutsche Verlags-Anstalt, StuttgartGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of ArchitectureUniversity of LjubljanaLjubljanaSlovenia

Personalised recommendations