Extraction of deterioration and analysis of vegetation impact effects on the south palace wall of Weiyang Palace

Abstract Weiyang Palace, the royal palace of the Western Han Dynasty, is a part of the Silk Roads: the Routes Network of Chang’an-Tianshan Corridor on the World Heritage list. The south palace wall of Weiyang Palace is a well-preserved earthen heritage site within the palace, but it is undergoing continuous deterioration due to the influence of vegetation and external environmental factors. This study pioneers the integration of high-resolution three-dimensional LiDAR scanning with multi-source data analysis, including unprecedented on-site botanical surveys, to explore the subtle effects of different vegetation types on the structural integrity of the south palace wall. Through contour line analysis and facade grid analysis, we extracted the deterioration locations of typical sections of the earthen heritage sites. And we classified the overlying vegetation types on the wall using an object-oriented classification algorithm. Our findings reveal a complex interaction between vegetation and earthen structures: paper mulberry exhibits protective qualities against erosion, while Ziziphus jujuba significantly exacerbates structural vulnerabilities. The methodologies applied in this study for extracting deterioration at earthen heritage sites and integrating multi-source spatial data can serve as a technical application model for monitoring and analyzing the driving forces of earthen heritage sites along the entire Silk Road network, thereby better guiding the conservation of earthen heritage sites.

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Publication Details

Journal
Heritage Science
Published
2024-10-18
DOI
https://doi.org/10.1186/s40494-024-01485-x
Citations
3
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.62

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article

Extraction of deterioration and analysis of vegetation impact effects on the south palace wall of Weiyang Palace

Liang Tao, Sheng Gao, Zhou We, Caiyan Chen et al.
3 citations
Heritage Science
Remote Sensing and LiDAR Applications
0.62
article

Extraction of deterioration and analysis of vegetation impact effects on the south palace wall of Weiyang Palace

Liang Tao, Sheng Gao, Zhou We, Caiyan Chen, Wenbo Li, Hongqiang Li, Fulong Chen, Xiaochen Zhou, Xinru Zhang, Xun Yao, Yansong Luo, Pilong Shi, Meng Zhu
article en
3 citations

Abstract

Abstract Weiyang Palace, the royal palace of the Western Han Dynasty, is a part of the Silk Roads: the Routes Network of Chang’an-Tianshan Corridor on the World Heritage list. The south palace wall of Weiyang Palace is a well-preserved earthen heritage site within the palace, but it is undergoing continuous deterioration due to the influence of vegetation and external environmental factors. This study pioneers the integration of high-resolution three-dimensional LiDAR scanning with multi-source data analysis, including unprecedented on-site botanical surveys, to explore the subtle effects of different vegetation types on the structural integrity of the south palace wall. Through contour line analysis and facade grid analysis, we extracted the deterioration locations of typical sections of the earthen heritage sites. And we classified the overlying vegetation types on the wall using an object-oriented classification algorithm. Our findings reveal a complex interaction between vegetation and earthen structures: paper mulberry exhibits protective qualities against erosion, while Ziziphus jujuba significantly exacerbates structural vulnerabilities. The methodologies applied in this study for extracting deterioration at earthen heritage sites and integrating multi-source spatial data can serve as a technical application model for monitoring and analyzing the driving forces of earthen heritage sites along the entire Silk Road network, thereby better guiding the conservation of earthen heritage sites.

Heritage ScienceVol. 12(1)
Conservation International (US), Xi'an International Studies University (CN), Chinese Academy of Sciences (CN), Beijing Institute of Big Data Research (CN), Aerospace Information Research Institute (CN), Institute of Archaeology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 35%
Remote Sensing and LiDAR Applications
0.62
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