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

Chen, Fulong; Liu, Hanwei; Xu, Hang; Zhou, Wei; Balz, Timo; Chen, Pinxiang; Zhu, Xin; Lin, Hui; Fang, Chaoyang; Parcharidis, Issaak

doi:10.1016/j.jag.2021.102630

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…This methodology represents a departure from traditional mapping techniques by prioritizing ontological integrity, systematic analysis, and cost-effectiveness while also emphasizing detailed local information and precise spatial relationships. For example, InSAR is utilized for surface deformation monitoring, offering the capability to detect potential structural instabilities with millimeter-level accuracy from satellite data [217]. Similarly, LiDAR RS generates point cloud data essential for constructing three-dimensional models of ancient structures and tracking structural changes over time [218,219].…”

Section: Towards Refinement Monitoring and Assessment For Achmentioning

confidence: 99%

An Overview of GIS-RS Applications for Archaeological and Cultural Heritage under the DBAR-Heritage Mission

Yao,

Wang,

Luo

et al. 2023

Remote Sensing

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In recent decades, the application of GIS and RS in archaeological and cultural heritage (ACH) has witnessed a notable surge both in terms of quantity and scope. During the initial implementation period (2016–2021) of the Digital Belt and Road Heritage (DBAR-Heritage) working group, several instances of GIS-RS-based applications in support of cultural heritage conservation have merged. In this paper, in order to discuss the great potential of GIS and RS on the Silk Road, an overview of GIS- and RS-based applications in ACH is first presented. In a substantial portion of the published scientific literature, the identification and comprehension of archaeological sites, the monitoring and risk assessment of cultural heritage, and the management and visualization of cultural heritage data are highlighted. Following this, five illustrative case studies from the DBAR-Heritage working group are presented to exemplify how the integration of GIS and RS serves as key approaches in recognizing and appreciating cultural heritage. These selected case studies showcase the utilization of multi-source data for the identification of linear sites; detailed, refined monitoring and assessment of the Angkor Wat heritage; and the reconstruction of the Silk Road routes. These instances serve as the cornerstone for highlighting current trends in GIS and RS applications in ACH along the Silk Road. These methodologies efficiently integrate multi-source geospatial data and employ multidisciplinary approaches, ultimately furnishing sophisticated and intelligent tools for the exploration and management of archaeological and cultural heritage in the era of Big Earth Data. Subsequently, a comprehensive discussion on the merits and challenges of GIS and RS applications in ACH is presented, followed by an exploration of the current application trends. Finally, the prospects for the widespread application of GIS and RS in ACH along the Silk Road are outlined in accordance with the operational plan of DBAR-Heritage during its second implementation phase.

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Section: Towards Refinement Monitoring and Assessment For Achmentioning

confidence: 99%

An Overview of GIS-RS Applications for Archaeological and Cultural Heritage under the DBAR-Heritage Mission

Yao,

Wang,

Luo

et al. 2023

Remote Sensing

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“…This study revealed the potential of the proposed pseudo-combination SBAS algorithm in stability monitoring and risk assessment of the landscape of architectural heritage sites in mountainous areas. In future research, we will focus on overcoming the limitations of the pseudo-combination SBAS algorithm and improving its adaptability in deformation monitoring in mountainous areas by taking the following measures: First, Sentienl-1 data will be incorporated with other high-resolution SAR data [53][54][55] to facilitate a coarse to fine deformation monitoring strategy for the detailed motion monitoring of heritage sites on complex topography; Then, in order to optimize the method, the coherent scatterers (CS)-based InSAR algorithm [56,57] will be introduced to improve the density of InSAR measurements in mountainous areas; thereafter, a more comprehensive atmospheric correction strategy (e.g., GAOCS method [58] and spatially variable power law method [59]) will be applied to deal with local microclimate effects (turbulence) to complement the modeling-based atmospheric correction method used in this study.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Reducing the Residual Topography Phase for the Robust Landscape Deformation Monitoring of Architectural Heritage Sites in Mountain Areas: The Pseudo-Combination SBAS Method

Chen

Zhou

et al. 2022

Remote Sensing

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Monitoring deformation of architectural heritage sites is important for the quantitative evaluation of their stability. However, deformation monitoring of sites in mountainous areas remains challenging whether utilizing global navigation satellite system (GNSS) or interferometric synthetic aperture radar (InSAR) techniques. In this study, we improved the small baseline subset (SBAS) approach by introducing the pseudo-baseline combination strategy to avoid the errors caused by inaccurate external DEM, resulting in robust deformation estimations in mountainous areas where the architectural heritage site of the Great Wall is located. First, a simulated dataset and a real dataset were used to verify the reliability and effectiveness of the algorithm, respectively. Subsequently, the algorithm was applied in the landscape deformation monitoring of the Shanhaiguan section of the Great Wall using 51 Sentinel-1 scenes acquired from 2016 to 2018. A thematic stability map of the Shanhaiguan Great Wall corridor was generated, revealing that the landscape was generally stable save for local instabilities due to to unstable rocks and wall monuments. This study demonstrated the capabilities of adaptive multitemporal InSAR (MTInSAR) approaches in the preventive landscape deformation monitoring of large-scale architectural heritage sites in complex terrain.

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“…Architectural heritage is experiencing challenges due to the increasing human activities and natural aging (Chen et al, 2021). These impacts expose the heritage to the inevitable threat of structural damage and collapse (Chen et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Stability of the Jianchuan Ancient Town with TerraSAR-X images

Gao,

Li,

Yang

et al. 2024

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Architectural heritage holds significant historical and cultural value. However, it faces substantial risks of deterioration stemming from natural aging and human activities. Traditional methods rely on manual surveys or ground-based measurements, which are time-consuming and labor-intensive, making it challenging to meet the demand for large-scale stability assessments of architectural heritage. In this study, we designed a methodology based on the analysis of differential deformation and angular distortion of buildings using InSAR line-of-sight (LOS) displacements. Then, the stability of buildings is categorized into three groups: stable, moderate, and unstable, using these stability indicators. A total of 74 TerraSAR-X images acquired from August 2017 to November 2019 in ascending orbit were used to monitor the Jianchuan Ancient Town, which has a history of over 650 years. Our evaluation reveals that among the 1891 architectures in Jianchuan Ancient Town, 1191 are rated as stable, 696 as moderate, and 4 as unstable. Time-series results indicate that one of the four unstable buildings exhibited a severe accelerating trend that requires attention. In conclusion, this methodology can enhance the capability to assess the stability of large-scale architectural heritages.

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

Cited by 6 publications

References 20 publications

An Overview of GIS-RS Applications for Archaeological and Cultural Heritage under the DBAR-Heritage Mission

An Overview of GIS-RS Applications for Archaeological and Cultural Heritage under the DBAR-Heritage Mission

Reducing the Residual Topography Phase for the Robust Landscape Deformation Monitoring of Architectural Heritage Sites in Mountain Areas: The Pseudo-Combination SBAS Method

Evaluating the Stability of the Jianchuan Ancient Town with TerraSAR-X images

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