Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach Article Swipe
Matteo Del Soldato
,
Pier Lorenzo Solari
,
Federico Raspini
,
Silvia Bianchini
,
Andrea Ciampalini
,
Roberto Montalti
,
A. Ferretti
,
Vania Pellegrineschi
,
Nicola Casagli
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/ijgi8070307
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/ijgi8070307
Satellite interferometric data are widely exploited for ground motion monitoring thanks to their wide area coverage, cost efficiency and non-invasiveness. The launch of the Sentinel-1 constellation opened new horizons for interferometric applications, allowing the scientists to rethink the way in which these data are delivered, passing from a static view of the territory to a continuous streaming of ground motion measurements from space. Tuscany Region is the first worldwide example of a regional scale monitoring system based on satellite interferometric data. The processing chain here exploited combines a multi-interferometric approach with a time-series data mining algorithm aimed at recognizing benchmarks with significant trend variations. The system is capable of detecting the temporal changes of a wide variety of phenomena such as slow-moving landslides and subsidence, producing a high amount of data to be interpreted in a short time. Bulletins and reports are derived to the hydrogeological risk management actors at regional scale. The final output of the project is a list of potentially hazardous and accelerating phenomena that are verified on site by field campaign by completing a sheet survey in order to qualitatively estimate the risk and to suggest short-term actions to be taken by local entities. Two case studies, one related to landslides and one to subsidence, are proposed to highlight the potential of the monitoring system to early detect anomalous ground changes. Both examples represent a successful implementation of satellite interferometric data as monitoring and risk management tools, raising the awareness of local and regional authorities to geohazards.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijgi8070307
- https://www.mdpi.com/2220-9964/8/7/307/pdf?version=1563363093
- OA Status
- gold
- Cited By
- 58
- References
- 63
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2960786458
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2960786458Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijgi8070307Digital Object Identifier
- Title
-
Monitoring Ground Instabilities Using SAR Satellite Data: A Practical ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-17Full publication date if available
- Authors
-
Matteo Del Soldato, Pier Lorenzo Solari, Federico Raspini, Silvia Bianchini, Andrea Ciampalini, Roberto Montalti, A. Ferretti, Vania Pellegrineschi, Nicola CasagliList of authors in order
- Landing page
-
https://doi.org/10.3390/ijgi8070307Publisher landing page
- PDF URL
-
https://www.mdpi.com/2220-9964/8/7/307/pdf?version=1563363093Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2220-9964/8/7/307/pdf?version=1563363093Direct OA link when available
- Concepts
-
Landslide, Satellite, Remote sensing, Interferometry, Scale (ratio), Computer science, Interferometric synthetic aperture radar, Subsidence, Geology, Synthetic aperture radar, Geography, Seismology, Cartography, Engineering, Aerospace engineering, Physics, Astronomy, Paleontology, Structural basinTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
58Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 6, 2023: 11, 2022: 11, 2021: 12Per-year citation counts (last 5 years)
- References (count)
-
63Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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