Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings
In Italy, three different operational continuous monitoring experiences based on the exploitation of Multi Temporal Synthetic Aperture Radar data (MTInSAR) Sentinel-1 data are here depicted, and the results obtained in one year have been analysed. Tuscany region (Central Italy) has been the first re...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243421001550 |
| _version_ | 1811228403280379904 |
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| author | Pierluigi Confuorto Matteo Del Soldato Lorenzo Solari Davide Festa Silvia Bianchini Federico Raspini Nicola Casagli |
| author_facet | Pierluigi Confuorto Matteo Del Soldato Lorenzo Solari Davide Festa Silvia Bianchini Federico Raspini Nicola Casagli |
| author_sort | Pierluigi Confuorto |
| collection | DOAJ |
| description | In Italy, three different operational continuous monitoring experiences based on the exploitation of Multi Temporal Synthetic Aperture Radar data (MTInSAR) Sentinel-1 data are here depicted, and the results obtained in one year have been analysed. Tuscany region (Central Italy) has been the first region to implement such service, followed by Valle d’Aosta and Veneto regions (North-West and North-East Italy, respectively). In detail, the services benefit from regularly updated deformation maps (every 12 days) to promptly detect anomalies of deformation, i.e., trend variations in the time series of displacement. In this work, anomalies detected between September 2019 and September 2020 are thus correlated with several types of factors, either related to the environment, intrinsic of the data or derived from ancillary data. A statistical analysis has been performed on the three regions, and are discretized into five macro-areas, namely: i) spatial and temporal statistics, related to the geographic setting and the temporal distribution of the anomalies; ii) parametric, i.e., related to the interferometric processing; iii) triggering factors; iv) environmental and geological factors; v) urban setting. The results derived from the analysis of this work show the obvious differences between the three regions, highlighting distinct distributions of the anomalies according to the different settings of each study area. Furthermore, results were analyzed, to provide a summary of the main findings obtained, giving a first evaluation of the services and hypothesizing future further improvements and applications. |
| first_indexed | 2024-04-12T09:57:13Z |
| format | Article |
| id | doaj.art-39a1d7ad207048049bdbef47764439a1 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-12T09:57:13Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-39a1d7ad207048049bdbef47764439a12022-12-22T03:37:38ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-10-01102102448Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findingsPierluigi Confuorto0Matteo Del Soldato1Lorenzo Solari2Davide Festa3Silvia Bianchini4Federico Raspini5Nicola Casagli6University of Firenze, Earth Science Department, Via G. La Pira 4, 50121 Firenze, Italy; Corresponding author at: University of Firenze, Earth Science Department, Italy.University of Firenze, Earth Science Department, Via G. La Pira 4, 50121 Firenze, ItalyCentre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Division of Geomatics, Avenida Gauss, 7, 08860 Castelldefels, SpainUniversity of Firenze, Earth Science Department, Via G. La Pira 4, 50121 Firenze, ItalyUniversity of Firenze, Earth Science Department, Via G. La Pira 4, 50121 Firenze, ItalyUniversity of Firenze, Earth Science Department, Via G. La Pira 4, 50121 Firenze, ItalyUniversity of Firenze, Earth Science Department, Via G. La Pira 4, 50121 Firenze, ItalyIn Italy, three different operational continuous monitoring experiences based on the exploitation of Multi Temporal Synthetic Aperture Radar data (MTInSAR) Sentinel-1 data are here depicted, and the results obtained in one year have been analysed. Tuscany region (Central Italy) has been the first region to implement such service, followed by Valle d’Aosta and Veneto regions (North-West and North-East Italy, respectively). In detail, the services benefit from regularly updated deformation maps (every 12 days) to promptly detect anomalies of deformation, i.e., trend variations in the time series of displacement. In this work, anomalies detected between September 2019 and September 2020 are thus correlated with several types of factors, either related to the environment, intrinsic of the data or derived from ancillary data. A statistical analysis has been performed on the three regions, and are discretized into five macro-areas, namely: i) spatial and temporal statistics, related to the geographic setting and the temporal distribution of the anomalies; ii) parametric, i.e., related to the interferometric processing; iii) triggering factors; iv) environmental and geological factors; v) urban setting. The results derived from the analysis of this work show the obvious differences between the three regions, highlighting distinct distributions of the anomalies according to the different settings of each study area. Furthermore, results were analyzed, to provide a summary of the main findings obtained, giving a first evaluation of the services and hypothesizing future further improvements and applications.http://www.sciencedirect.com/science/article/pii/S0303243421001550Sentinel-1MonitoringOperational serviceItalyTime-series analysisLandslides |
| spellingShingle | Pierluigi Confuorto Matteo Del Soldato Lorenzo Solari Davide Festa Silvia Bianchini Federico Raspini Nicola Casagli Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings International Journal of Applied Earth Observations and Geoinformation Sentinel-1 Monitoring Operational service Italy Time-series analysis Landslides |
| title | Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings |
| title_full | Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings |
| title_fullStr | Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings |
| title_full_unstemmed | Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings |
| title_short | Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings |
| title_sort | sentinel 1 based monitoring services at regional scale in italy state of the art and main findings |
| topic | Sentinel-1 Monitoring Operational service Italy Time-series analysis Landslides |
| url | http://www.sciencedirect.com/science/article/pii/S0303243421001550 |
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