Volume IV-2/W2
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 67-73, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W2-67-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 67-73, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W2-67-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 Aug 2017

16 Aug 2017

APIS – A DIGITAL INVENTORY OF ARCHAEOLOGICAL HERITAGE BASED ON REMOTE SENSING DATA

M. Doneus1,2, U. Forwagner1, J. Liem3, and C. Sevara1 M. Doneus et al.
  • 1IUHA – Department for Prehistoric and Historical Archaeology, University of Vienna, Franz Klein-Gasse 1, 1190-Vienna, Austria
  • 2Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology, Hohe Warte 38, 1190-Vienna, Austria
  • 3Department of Computer Science, City – University of London, Northampton Square, London EC1V 0HB, United Kingdom

Keywords: QGIS, Cultural Heritage, remote sensing, digital workflow, database, aerial archaeology, aerial photograph, archiving

Abstract. Heritage managers are in need of dynamic spatial inventories of archaeological and cultural heritage that provide them with multipurpose tools to interactively understand information about archaeological heritage within its landscape context. Specifically, linking site information with the respective non-invasive prospection data is of increasing importance as it allows for the assessment of inherent uncertainties related to the use and interpretation of remote sensing data by the educated and knowledgeable heritage manager. APIS, the archaeological prospection information system of the Aerial Archive of the University of Vienna, is specifically designed to meet these needs. It provides storage and easy access to all data concerning aerial photographs and archaeological sites through a single GIS-based application. Furthermore, APIS has been developed in an open source environment, which allows it to be freely distributed and modified. This combination in one single open source system facilitates an easy workflow for data management, interpretation, storage, and retrieval. APIS and a sample dataset will be released free of charge under creative commons license in near future.