The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 81–88, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-81-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 81–88, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-81-2020

  24 Aug 2020

24 Aug 2020

WORLD HERITAGE MAPPING IN A STANDARD-BASED STRUCTURED GEOGRAPHICAL INFORMATION SYSTEM

M. Valese1, F. Noardo2, and A. Pereira Roders1 M. Valese et al.
  • 1Dept of Architectural Engineering + Technology, Delft, University of Technology, Delft, The Netherlands
  • 23D Geoinformation- Delft University of Technology, Delft, The Netherlands

Keywords: data structure, spatial objects, urban mapping, standards, World Heritage

Abstract. This research aims at the study of the (dynamic) relationship between the World Heritage sites and the related human settlements development. Geographical Information Systems (GIS) can be useful to represent the involved information and to analyze such relationship. However, an effective harmonized structure and unique storage of possibly heterogeneous datasets is necessary to enable it. This initial step is the focus of this paper. First, the description of the structure of the related datasets and the assessment of the availability, quality, and consistency of the available information about the Heritage sites and properties is presented. Among those requirements, the quality of the associated spatial information is critical (e.g. kind of shape, accuracy, georeferencing). Second, considering the structure of the available datasets concerning the world heritage, together with the HERILAND research requirements, a global world heritage GIS is designed. The classification and data model to manage the WH list falls within the wider issue of structuring the cultural heritage documentation, involving both the definition of the semantic content and the geometric representation. In order to comply with the important requirement of data interoperability in science and to strengthen the outcomes of the research, some standardized data models and classifications are considered.