Work

Comparison of Multiservice Remote Sensing Data for Cultural Heritage Objects

Year: 2025
Type: article
Abstract: The preservation of cultural heritage objects is essential for maintaining historical narratives and cultural identity. As these invaluable assets face increasing threats from environmental degradation, urbanization, and neglect, the integration of advanced technologies for monitoring and management becomes crucial. This study presents a comprehensive comparison of various multi-service remote sensing data sources-specifically satellite imagery, aerial photography, and drone surveys-assessing their effectiveness in the documentation and preservation of cultural heritage sites. Satellite imagery provides extensive spatial coverage and the ability to monitor changes over time, but its relatively low resolution can limit detailed analysis. Aerial photography, while offering higher-resolution images, is often constrained by operational complexities and costs. In contrast, drone surveys have emerged as a transformative tool, delivering exceptional spatial resolution and flexibility for targeted assessments. By employing a mixed-methods approach, this research evaluates the strengths and weaknesses of each remote sensing method in relation to specific case studies of cultural heritage sites. The findings underscore the importance of integrating these technologies to enhance data richness and improve conservation strategies. Additionally, the study identifies critical challenges that remain, such as the need for automated data processing and real-time monitoring capabilities. By highlighting these issues, this research aims to foster interdisciplinary collaboration among archaeologists, conservationists, and technologists to optimize the use of remote sensing in cultural heritage preservation. Ultimately, this comparative analysis serves as a foundation for developing more effective methodologies to safeguard cultural heritage objects, ensuring their protection for future generations while advancing the field of remote sensing applications in heritage conservation.
Author: Beknazarova S.S., Sotvoldiyeva D.B.
Language: English
Subfield: Geology
Open Access status: green
OpenAlex ID: W6911958805
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