Analysis of the Products of the Copernicus Ground Motion Service

Crosetto, Michele; Solari, L.; Barra, Anna; Monserrat, O.; Cuevas-González, M.; Palamà, R.; Wassie, Y.; Shahbazi, S.; Mirmazloumi, S. Mohammad; Crippa, B.; Mróz, M.

doi:10.5194/isprs-archives-xliii-b3-2022-257-2022

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

2022

DOI: 10.5194/isprs-archives-xliii-b3-2022-257-2022

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Analysis of the Products of the Copernicus Ground Motion Service

Michele Crosetto

L. Solari

Anna Barra

et al.

Abstract: Abstract. Radar interferometry has progressed very much in the last two decades. It is now a powerful remote sensing techniques to monitor ground motion. The technique has undergone an important development in terms of processing and data analysis algorithms. This has been accompanied by an important increase of the Synthetic Aperture Radar (SAR) data acquisition capability by spaceborne sensors. A step forward was the launch of the Copernicus Sentinel-1 constellation. This has made the development of A-DInSAR… Show more

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2024

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Cited by 2 publications

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Potential and Limitations of the New European Ground Motion Service in Landslides at a Local Scale

Cuervas-Mons,

Domínguez-Cuesta,

Jiménez-Sánchez

2024

Applied Sciences

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Mass movements represent one of the most significant geohazards worldwide. The aim of this research is to highlight the potential and limitations of the European Ground Motion Service (EGMS) in detecting and monitoring mass movements at a local scale, especially in cases where data from in situ instrumental devices are unavailable. The study area corresponds to the La Miera landslide, located in Asturias (NW Spain). The multidisciplinary methodology applied involved the following steps: (1) downloading, acquiring, and analyzing Sentinel-1 A-DInSAR datasets (2015–2021) through the EGMS; (2) conducting a detailed geomorphological map and identifying evidence of movement; (3) classifying building damage by means of a damage inventory; (4) compiling and analyzing daily rainfall records with respect to deformation time series. Sentinel-1 A-DInSAR results revealed maximum LOS and East–West velocities of −11.6 and −7.9 mm/yr related to the landslide activity. Geomorphological mapping allowed for the updating of the landslide boundaries and its characterization as an active, complex movement. Registered building damage, which ranged from moderate to serious, was correlated with LOS and East–West velocities. The displacement recorded by the EGMS closely corresponds with rainfall periods, while periods of reduced rainfall coincide with the stabilization and recovery phases of displacement. This emphasizes a noteworthy quantitative correlation between rainfall events and EGMS data, evident both spatially and temporally. This work highlights that areas in which the EGMS data indicate deformation but lack in situ instrumental records, geomorphological techniques, and building damage surveys can provide spatial validation of the EGMS displacement, while rainfall records can provide temporal validation.

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Potential and Limitations of the New European Ground Motion Service in Landslides at a Local Scale

Cuervas-Mons,

Domínguez-Cuesta,

Jiménez-Sánchez

2024

Applied Sciences

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Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning

Rodríguez-Antuñano,

Barros,

Martínez-Sánchez

et al. 2024

Infrastructures

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In our contemporary cities, infrastructures face a diverse range of risks, including those caused by climatic events. The availability of monitoring technologies such as remote sensing has opened up new possibilities to address or mitigate these risks. Satellite images allow the analysis of terrain over time, fostering probabilistic models to support the adoption of data-driven urban planning. This study focuses on the exploration of various satellite data sources, including nighttime land surface temperature (LST) from Landsat-8, as well as ground motion data derived from techniques such as MT-InSAR, Sentinel-1, and the proximity of urban infrastructure to water. Using information from the Local Climate Zones (LCZs) and the current land use of each building in the study area, the economic and climatic implications of any changes in the current features of the soil are evaluated. Through the construction of a Bayesian Network model, synthetic datasets are generated to identify areas and quantify risk in Barcelona. The results of this model were also compared with a Multiple Linear Regression model, concluding that the use of the Bayesian Network model provides crucial information for urban managers. It enables adopting proactive measures to reduce negative impacts on infrastructures by reducing or eliminating possible urban disparities.

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Analysis of the Products of the Copernicus Ground Motion Service

Cited by 2 publications

References 10 publications

Potential and Limitations of the New European Ground Motion Service in Landslides at a Local Scale

Potential and Limitations of the New European Ground Motion Service in Landslides at a Local Scale

Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning

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