Data analysis tools for persistent scatterer interferometry based on Sentinel-1 data

Devanthéry, Núria; Crosetto, Michele; Monserrat, Oriol; Crippa, B.; Mróz, M.

doi:10.1080/22797254.2018.1554981

Cited by 11 publications

(10 citation statements)

References 26 publications

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Section: A-dinsar Processingmentioning

confidence: 99%

“…Available SAR data consisted of 113 IW-SLC SAR images acquired by Sentinel-1A/B satellite in C-Band (5.4 cm wavelength) during the period January 2018-February 2020 and descending orbit (Table 1). For A-DInSAR processing (Figure 2), 2 different approaches have been used: (i) PSIG chain (Persistent Scatterer Interferometry of the Geomatics Division), a robust software developed by CTTC [56][57][58] and (ii) GEP platform (Geohazard Exploitation Platform), an unsupervised service [59,60] with P-SBAS algorithm implemented [1]. The general procedure of A-DInSAR processing consisted of: (i) co-registration of SAR images and generation of wrapped interferograms; (ii) estimation of residual topographic errors and line-of-sight (LOS) mean velocity over a network of PS, according to amplitude and coherence threshold criteria; (iii) interferogram phase unwrapping and assessment of deformation time series; (iv) estimation and filtering of the atmospheric component using a low pass spatial (LPS) filter in PSIG.…”

Section: A-dinsar Processingmentioning

confidence: 99%

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Sentinel-1 Data Processing for Detecting and Monitoring of Ground Instabilities in the Rocky Coast of Central Asturias (N Spain)

et al. 2021

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The cliff coastline of the central region of Asturias (N Spain) is severely affected by terrain instabilities, causing considerable damage to properties and infrastructures every year. In this study, we applied the A-DInSAR technique based on Sentinel-1 imagery to map and monitor active slopes in an emblematic rocky area of the Asturian coast: the Peñas Cape. The A-DInSAR dataset analysis has been focused at regional and local scales. For the local scale assessment, six areas were selected based on previous work and the landslide database of the Principality of Asturias region (BAPA-Base de datos de Argayos del Principado de Asturias), created by the University of Oviedo. The processing of the data has been performed using two independent sets of processing tools: the PSIG software tools, a professional tool and, the GEP service, an unsupervised platform. The dataset consisted of 113 SAR IW-SLC images acquired by the Sentinel-1 A/B satellites between January 2018 and February 2020. LOS mean deformation velocity maps (mm year−1) and deformation time series (mm) were obtained by PSIG and GEP software, allowing coastal areas with landslide incidence and other terrain movements to be distinguished. Deformation motion has been estimated from PSIG VLOS rates to be from −17.1 to 37.4 mm year−1 and GEP VLOS rates from −23.0–38.3 mm year−1. According to deformation time series (mm), the minimum and maximum accumulated displacements are −68.5–78.8 and −48.8–77.0 mm by means of PSIG and GEP, respectively. These ground motions could be associated with coastal instabilities related to marine activity and coastal retreat, both at regional and local study scales. The main contributions of this work are: (1) the demonstration of the potential of A-DInSAR techniques to evaluate coastal instabilities in a coastal retreat context and (2) the comparison of the results provided by the two sets of tools, which allowed the ground motion to be assessed by using an unsupervised approach vs. a contrasted one (robust software). This study increases the knowledge about coastal instabilities and other ground movements along the rocky coast and cliffs of Central Asturias. As a conclusion for the future, we believe that this work highlights the evaluated methods as significant tools to support the management of coastal territories with jagged and rocky coastlines.

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Section: A-dinsar Processingmentioning

confidence: 99%

Section: A-dinsar Processingmentioning

confidence: 99%

Sentinel-1 Data Processing for Detecting and Monitoring of Ground Instabilities in the Rocky Coast of Central Asturias (N Spain)

et al. 2021

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“…The capabilities of PSI based on Sentinel-1 images has been documented in several papers. Just to mention some, see examples related to landslide monitoring (Barra et al, 2015;Béjar-Pizarro et al, 2017;Intrieri et al, 2018;Solari et al, 2020); subsidence monitoring (Sowter et al, 2016;Devanthéry et al, 2018;Du et al, 2018); and mining activity (Ng et al, 2017;Carlà et al, 2018).…”

Section: Persisten Scatterer Interferometrymentioning

confidence: 99%

Ground Deformation Monitoring at Continental Scale: The European Ground Motion Service

Crosetto

Solari

Balasis-Levinsen³

et al. 2020

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

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Abstract. The Persistent Scatterer Interferometry is a powerful technique for ground motion detection and monitoring over wide areas. In the recent years, PSI has undergone a rapid evolution, largely thanks to the launch of the Copernicus Sentinel-1 constellation, the refinement of algorithms, and the increased computational capabilities. These factors allow for using Sentinel-1 interferometric data to develop ground deformation services for wide-area monitoring. Firstly, we review examples of services for national or regional deformation monitoring. The paper then describes the European Ground Motion Service (EGMS), part of the Copernicus Land Monitoring Service. The EGMS represents a unique initiative for performing ground deformation monitoring on a European scale.

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“…Just to mention some works related to ground deformation monitoring, e.g. see for landslide monitoring Barra et al (2015), Dai et al (2016), Béjar-Pizarro et al (2017), and Intrieri et al (2018; for subsidence monitoring Sowter et al (2016), Zhou et al (2017), Devanthéry et al (2018) and Du et al (2018); for the monitoring of mining activity, see Ng et al (2017), Carlà et al (2018, and Du et al (2018b). Figure 1.…”

Section: Persisten Scatterer Interferometrymentioning

confidence: 99%

Deformation Monitoring Using Satellite Radar Interferometry

Crosetto¹,

Solari²

2020

2020 IEEE Latin American GRSS &Amp; ISPRS Remote Sensing Conference (LAGIRS)

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The paper is focused on the Persistent Scatterer Interferometry (PSI) technique. First, it addresses the substantial evolution of PSI in the last twenty years. Three main factors are identified: the availability of SAR images, the development of advanced data processing techniques, and the increase of the computation capability. The paper then addresses the PSI deformation monitoring initiatives at regional and national scale. Finally, in the last section, it is described a pan European deformation monitoring service: the European Ground Motion Service (EGMS).

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Data analysis tools for persistent scatterer interferometry based on Sentinel-1 data

Cited by 11 publications

References 26 publications

Sentinel-1 Data Processing for Detecting and Monitoring of Ground Instabilities in the Rocky Coast of Central Asturias (N Spain)

Sentinel-1 Data Processing for Detecting and Monitoring of Ground Instabilities in the Rocky Coast of Central Asturias (N Spain)

Ground Deformation Monitoring at Continental Scale: The European Ground Motion Service

Deformation Monitoring Using Satellite Radar Interferometry

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