Proposition for the graphic representation, interpretation and evaluation of the degree of terrain resolution in virtual reconstructions

Bibliographic Data

ID4673894
AuthorsIrene Cáceres-Criado (University of Córdoba), Paula Triviño-Tarradas (0000-0003-1212-0926, University of Córdoba, corresponding author), José Manuel Valderrama-Zafra (0000-0002-6299-5539, Universidad de Jaén), Diego Francisco García-Molina, Diego Francisco García–molina (0000-0001-8038-3248, Universidad de Jaén)
Year2023
Volume63
Pages42-51
Publication date2023-09-01
Open AccessYes
TypeARTICLE
VenueJournal of Cultural Heritage (JOURNAL)
Journal identifiersISSN: 1296-2074 • E-ISSN: 1778-3674
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.culher.2023.07.009
OpenAlexW4385255977
LanguageEN
Citations received1
References cited28

The Seville Principles gather in their definitions the 3D representation of heritage assets in their context, that is, elements such as the surroundings and landscape, for both virtual reconstructions and virtual recreations. Currently, there are few virtual reconstructions that implement the historical-archaeological evidence scale to show the veracity of the work that has been carried out. Moreover, none of the existing propositions of historical-archaeological evidence scales consider the veracity of the represented terrain. Authors assign a neutral colour to the terrain, different from those applied to the evidence levels, in order to differentiate the former from the latter. The present study proposes the development of a methodology to implement a resolution scale that graphically represents, interprets and evaluates the setting of the terrain associated with virtual reconstructions. To this end, a literature review was conducted on the existing methodologies for the creation of Digital Terrain Models (DTM). The evaluation of the analysed information was key for the selection of the resolution levels, which was followed by the selection of the colours associated with each resolution level, taking into account the subjective connotations of colours

Archaeology · Cartography · Data science · Geography · Terrain · 3D Surveying and Cultural Heritage · Computer Science · Conservation Techniques and Studies · Remote Sensing and LiDAR Applications · Artificial Intelligence

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