Remote Sensing Applications in Cultural Resource Management: Comparative Insights from Sentinel-2 Imagery and UAV-based 3D Modelling

DOI

10.2991/978-94-6239-701-9_81How to use a DOI?

Keywords

Cultural Resource Management; Remote Sensing; 3D Modelling

Abstract

Cultural Resource Management (CRM) faces persistent threats amid accelerating global urbanization and environmental changes, driving increasing demand for non-destructive remote sensing technologies. To explore the applicability and complementarity of different remote sensing technologies in cultural heritage preservation, this paper employs a comparative case study approach to systematically compare Sentinel-2 satellite image analysis with three-dimensional modeling methods based on UAV photogrammetry. Research indicates that Sentinel-2 imagery, with its advantages of wide coverage, multi-temporal monitoring, and free access, is suitable for macro-scale site surveys and dynamic environmental monitoring. Meanwhile, unmanned aerial vehicle (UAV) technology, characterized by low cost, high spatial resolution, and flexible operation, demonstrates unique strengths in micro-scale detailed documentation and three-dimensional reconstruction of archaeological sites. The two technologies are not competitive but rather complementary in cultural heritage conservation, with specific choices determined by research objectives and management needs. The findings of this study provide guidance for technological decision-making in cultural resource management and indicate that the synergistic integration of multi-source remote sensing data represents a key direction for enhancing the scientific rigor and efficiency of heritage conservation in the future.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fengyuan Du
PY  - 2026
DA  - 2026/07/30
TI  - Remote Sensing Applications in Cultural Resource Management: Comparative Insights from Sentinel-2 Imagery and UAV-based 3D Modelling
BT  - Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)
PB  - Atlantis Press
SP  - 783
EP  - 792
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-701-9_81
DO  - 10.2991/978-94-6239-701-9_81
ID  - Du2026
ER  -