Archaeological cognition of the Eastern mausoleum of Qin state using integrated space-ground observation tools

Abstract The Eastern Mausoleum of Qin State is a significant component of the Qin Dynasty's royal tombs, reflecting the social development level during the Warring States period (475 BC ~ 221 BC) in China. At the onset of our investigation, we mapped the site's boundaries utilizing Corona satellite imagery and employed the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) to identify archaeological features. Additionally, this study is the first to propose the use of thermal infrared band data from the SDGSAT-1 satellite to explore thermal archaeological traces, demonstrating their viability for archaeological site analysis. Subsequently, electromagnetic (EM) prospection was utilized to validate the presence of an ancient burial chamber passage. Landscape monitoring and analysis of the No.1 Mausoleum were performed using Corona and Google Earth images, revealing the accuracy of the Geomancy Theory of Chinese mausoleums through dynamic remote sensing of surface changes. Furthermore, our employment of space-to-ground observational modalities and resultant Digital Elevation Models (DEM) have been used to provided new insights into the application of Remote Sensing (RS) and Geomancy in archaeology, thereby emphasizing the pivotal role of site selection in heritage preservation. This research underscores the promise of synergistic space-ground observations in both exploiting the archaeological riches of cultural heritage sites and ensuring the enduring conservation of these irreplaceable patrimonial assets.

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Publication Details

Journal
Heritage Science
Published
2024-10-13
DOI
https://doi.org/10.1186/s40494-024-01478-w
Citations
2
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
3.57

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article

Archaeological cognition of the Eastern mausoleum of Qin state using integrated space-ground observation tools

Fulong Chen, Sheng Gao, Wei Zhou, Abdelaziz Elfadaly et al.
2 citations
Heritage Science
Archaeological Research and Protection
3.57
article

Archaeological cognition of the Eastern mausoleum of Qin state using integrated space-ground observation tools

Fulong Chen, Sheng Gao, Wei Zhou, Abdelaziz Elfadaly, Meng Zhu, Yansong Luo
article en
2 citations

Abstract

Abstract The Eastern Mausoleum of Qin State is a significant component of the Qin Dynasty's royal tombs, reflecting the social development level during the Warring States period (475 BC ~ 221 BC) in China. At the onset of our investigation, we mapped the site's boundaries utilizing Corona satellite imagery and employed the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) to identify archaeological features. Additionally, this study is the first to propose the use of thermal infrared band data from the SDGSAT-1 satellite to explore thermal archaeological traces, demonstrating their viability for archaeological site analysis. Subsequently, electromagnetic (EM) prospection was utilized to validate the presence of an ancient burial chamber passage. Landscape monitoring and analysis of the No.1 Mausoleum were performed using Corona and Google Earth images, revealing the accuracy of the Geomancy Theory of Chinese mausoleums through dynamic remote sensing of surface changes. Furthermore, our employment of space-to-ground observational modalities and resultant Digital Elevation Models (DEM) have been used to provided new insights into the application of Remote Sensing (RS) and Geomancy in archaeology, thereby emphasizing the pivotal role of site selection in heritage preservation. This research underscores the promise of synergistic space-ground observations in both exploiting the archaeological riches of cultural heritage sites and ensuring the enduring conservation of these irreplaceable patrimonial assets.

Heritage ScienceVol. 12(1)
National Authority for Remote Sensing and Space Sciences (EG), Chinese Academy of Sciences (CN), Beijing Institute of Big Data Research (CN), International Centre on Space Technologies for Natural and Cultural Heritage (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 8%
Archaeological Research and Protection
3.57
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