Deformation monitoring and thematic mapping of the Badaling Great Wall using very high-resolution interferometric synthetic aperture radar data

International Journal of Applied Earth Observations and Geoinformation

Chaoyang Fang¹  Hui Lin²  Wei Zhou²  Hang Xu³  Hanwei Liu⁴  Timo Balz⁵  Xiaokun Zhu⁵  Pinxiang Chen⁵  Fulong Chen⁶  Issaak Parcharidis⁷ 

[1] Corresponding author at: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.;International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Beijing 100094, China;Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;;Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education &State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China;

关键词: InSAR;    Deformation;    Cultural heritage;    Great Wall;    Very high-resolution;   

DOI  :  

来源: DOAJ

【 摘 要 】

The preventive monitoring and sustainable conservation of large-scale cultural heritage sites require satellite-based Earth observations. In this study, we present the first monitoring and thematic mapping results of the Badaling Great Wall (Beijing, China) using deformation indicators calculated from very high-resolution (VHR) multi-temporal spotlight TerraSAR-X data. The proposed coarse–fine search algorithm achieved high computational efficiency for calculating the unknown parameters of the two-tier network persistent scatterer synthetic aperture radar (SAR) interferometry (PSInSAR) approach. The spatiotemporal deformation anomalies, characterized by the absolute velocity, deformation deviation and acceleration, are informative to identify suspected hotspots for prioritizing monitoring activities. We provide an understandable method for thematic mapping and subsequent sustainable conservation of heritage sites by synergistically exploiting impacts from natural degradation and the tourism industry. We determine that the optimum tourist capacity of the site could be 1.0 million per month based on comparing pre- and post-COVID data (2019–2020). This study demonstrates the potential and performance of spaceborne PSInSAR tools for the intelligent management of large-scale architectural heritage sites by integrating InSAR deformation products with environmental and social data.

【 授权许可】

Unknown