Exploiting satellite SAR for archaeological prospection and heritage site protection

Cigna, Francesca; Balz, Timo; Tapete, Deodato; Caspari, Gino; Fu, Bihong; Abballe, Michele; Jiang, Haonan

doi:10.1080/10095020.2023.2223603

Cited by 8 publications

(4 citation statements)

References 75 publications

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“…Traditional methods largely rely on manual surveys or groundbased measurements, which are time-consuming and laborintensive, making it difficult to meet the demand for large-scale stability assessments of architectural heritage (Tang et al, 2016). However, the advancement in remote sensing, specifically the ongoing improvement of Synthetic Aperture Radar (SAR) and its algorithms, offers a new method for evaluating the stability of architectural heritage (Cigna et al, 2023;Tapete and Cigna, 2017). In particular, spaceborne SAR remote sensing, which does not require the prior installation of monitoring instruments in the building structure, can realise wide-range and highdensity identification of subtle deformation of the heritage, having the advantages of non-destructive of structure and costsaving (Chen et al, 2017;Du et al, 2024).…”

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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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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“…In addition, phenomena such as ground subsidence can prevent access to buried structures and even damage the emerging ones; satellite SAR (Synthetic Aperture Radar) images may be useful to highlight the structures that are affected by such phenomena. In addition to the capability of operating under any weather conditions, the advantageous properties offered by SAR include wide-swath to spotlight coverage, kilometer to sub-meter spatial resolution, historical and present-day temporal coverage, longer to shorter wavelength, and monthly to daily revisiting time if collecting time series [3]. These properties have made the use of SAR technology attractive for various archaeological applications, some examples in [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Survey Techniques to Study Nuragic Archaeological Sites: The Nanni Arrù Case Study (Sardinia, Italy)

Muscas,

Demontis,

Lorrai

et al. 2024

Geomatics

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The Italian territory of Sardinia Island has an enormous cultural and identity heritage from the Pre-Nuragic and Nuragic periods, with archaeological evidence of more than 7000 sites. However, many other undiscovered remnants of these ancient times are believed to be present. In this context, it can be helpful to analyze data from different types of sensors on a single information technology platform, to better identify and perimeter hidden archaeological structures. The main objective of the study is to define a methodology that through the processing, analysis, and comparison of data obtained using different non-invasive survey techniques could help to identify and document archaeological sites not yet or only partially investigated. The non-invasive techniques include satellite, unmanned aerial vehicle, and geophysical surveys that have been applied at the nuraghe Nanni Arrù, one of the most important finds in recent times. The complexity of this ancient megalithic edifice and its surroundings represents an ideal use case. The surveys showed some anomalies in the areas south–east and north–east of the excavated portion of the Nanni Arrù site. The comparison between data obtained with the different survey techniques used in the study suggests that in areas where anomalies have been confirmed by multiple data types, buried structures may be present. To confirm this hypothesis, further studies are believed necessary, for example, additional geophysical surveys in the excavated part of the site.

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“…and cultural (monuments, archaeological sites, etc.) [2] has been fostered by the variety of satellite sensors, free and open access to satellite images, and the use of combined techniques for a more accurate and extensive analysis of CH sites and their surroundings [3]. Indeed, multitemporal analysis conducted on optical satellite images proves to be very useful in the study of changes in the surface characteristics of the soil, in terms of texture, humidity and vegetation cover and has long established itself as an essential practice for monitoring the state of health of the vegetation, supplying indispensable indications for a correct management and planning of the territory [4].…”

Section: Introductionmentioning

confidence: 99%

Change Detection analysis of Cultural and Landscape Heritage based on Multispectral and Hyperspectral remote sensing data and algorithm: the case of Appia Antica Park

Massi,

Cosentino,

Mazzanti

et al. 2023

Proceedings of the 2022 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

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In remote sensing multispectral and hyperspectral imaging are a valid method to analyse Earth Observation (EO) data. If multispectral imaging is largely used and well knowed in EO and refers to the scomposition of the spectral range of the instruments onboard in few channels (typically from 6 to 12), hyperspectral Imaging gains a greater spectral resolution and refers to obtain the spectrum for each pixel in the image, with the purpose of finding objects, identifying materials, or detecting processes through the structural analysis of the source (in SWIR range) or chemical behaviour (in VIS range). In this work a multispectral (NDVI) and hyperspectral (red edge slope) technique is used to perform a Change Detection (CD) on the vegetation of the Appia Antica Regional Park in Rome. The results show the benefits of these analyses in evaluating the state of landscape and in developing appropriate management projects.

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Exploiting satellite SAR for archaeological prospection and heritage site protection

Cited by 8 publications

References 75 publications

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

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

Non-Invasive Survey Techniques to Study Nuragic Archaeological Sites: The Nanni Arrù Case Study (Sardinia, Italy)

Change Detection analysis of Cultural and Landscape Heritage based on Multispectral and Hyperspectral remote sensing data and algorithm: the case of Appia Antica Park

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