Application of Remote Sensing and Computing in Smart Archaeology and Tourism—A Loulan Perspective
DOI: 10.23977/tmte.2024.070213 | Downloads: 16 | Views: 757
Author(s)
Danling Chen 1
Affiliation(s)
1 Dongguan Institute of Surveying and Mapping, Dongguan, 523000, China
Corresponding Author
Danling ChenABSTRACT
With the rapid growth of urban informatics science and technology nowadays, the intersection of smart archaeology and tourism is still a brand-new field. Taking the perished ancient kingdom of Loulan as an example, this paper proposes the possibility of employing the technology and method of urban sensing and computing to play some role in the archaeology and tourism of Loulan. Loulan was an ancient kingdom, northwest China, dating back more than 2,000 years, which presumably disappeared owing to climatic change. This paper has successively proposed the use of deep learning algorithms to interpret ancient documents, the use of digital twin platforms to regenerate ancient ruins, the use of smart Internet of Things systems to enhance scenic services, and the use of augmented reality technology to display diverse travel experiences. The various methodologies utilised in this research have been preliminarily applied in the archaeological work of Sanxingdui and the digital reconstruction of Notre Dame de Paris, and their feasibility is established. In addition, the study outlines some of the existing challenges faced by this concept, such as the difficulty in rebuilding the ecological environment of the desert oasis, and the unpredictable risks that tourism would face. The technologies and methods proposed in this proposed application can also be implemented in other archaeological and tourism industries. The latest urban informatics technology will undoubtedly bring great subversion to traditional industries.
KEYWORDS
Remote Sensing; GIS; Loulan; Archaeology; TourismCITE THIS PAPER
Danling Chen, Application of Remote Sensing and Computing in Smart Archaeology and Tourism—A Loulan Perspective. Tourism Management and Technology Economy (2024) Vol. 7: 88-97. DOI: http://dx.doi.org/10.23977/tmte.2024.070213.
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