Compared analysis of DInSAR data from ascending and descending orbits of Sentinel-1: the Cazzaso case study
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915247196995584 |
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| author | Buono, Giuseppe Nutricato, Raffaele Facchi, Paolo Guerriero, Luciano Pepe, Francesco Vincenzo Lupo, Cosmo Pascazio, Saverio |
| author_facet | Buono, Giuseppe Nutricato, Raffaele Facchi, Paolo Guerriero, Luciano Pepe, Francesco Vincenzo Lupo, Cosmo Pascazio, Saverio |
| contents | Differential SAR interferometry (DInSAR), by providing displacement time series over coherent objects on the Earth's surface (persistent scatterers), allows to analyze wide areas, identify ground displacements, and study their evolution at large times. In this work we implement an innovative approach that relies exclusively on line-of-sight displacement time series, applicable to cases of correlated persistent-scatterer displacements. We identify the locus of the final positions of the persistent scatterers and automatically calculate the lower bound of the magnitude of the potential three-dimensional displacements. We present the results obtained by using Sentinel-1 data for investigating the ground stability of the hilly village Cazzaso located in the Italian Alps (Friuli Venezia Giulia region) in an area affected by an active landslide. SAR datasets acquired by Sentinel-1 from both ascending and descending orbits were processed using the SPINUA algorithm. Displacement time series were analysed in order to solve phase unwrapping issues and displacement field calculation. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_12306 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Compared analysis of DInSAR data from ascending and descending orbits of Sentinel-1: the Cazzaso case study Buono, Giuseppe Nutricato, Raffaele Facchi, Paolo Guerriero, Luciano Pepe, Francesco Vincenzo Lupo, Cosmo Pascazio, Saverio Geophysics Earth and Planetary Astrophysics Data Analysis, Statistics and Probability Differential SAR interferometry (DInSAR), by providing displacement time series over coherent objects on the Earth's surface (persistent scatterers), allows to analyze wide areas, identify ground displacements, and study their evolution at large times. In this work we implement an innovative approach that relies exclusively on line-of-sight displacement time series, applicable to cases of correlated persistent-scatterer displacements. We identify the locus of the final positions of the persistent scatterers and automatically calculate the lower bound of the magnitude of the potential three-dimensional displacements. We present the results obtained by using Sentinel-1 data for investigating the ground stability of the hilly village Cazzaso located in the Italian Alps (Friuli Venezia Giulia region) in an area affected by an active landslide. SAR datasets acquired by Sentinel-1 from both ascending and descending orbits were processed using the SPINUA algorithm. Displacement time series were analysed in order to solve phase unwrapping issues and displacement field calculation. |
| title | Compared analysis of DInSAR data from ascending and descending orbits of Sentinel-1: the Cazzaso case study |
| topic | Geophysics Earth and Planetary Astrophysics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2504.12306 |