Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy)
The study presents an integrated investigation of a complex landslide based on multitemporal stereo aerial photographic interpretations, existing geotechnical monitoring data, and different PSInSAR datasets. The available information allowed for the quantification of the deformation history, also in...
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MDPI AG
2023-02-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/15/5/1221 |
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author | Lucio Di Matteo Riccardo Cardinali Valentina Cerboni Fabio Guadagnano Giorgio Piagnani Claudia Ribaldi Biagio Marco Sotera Corrado Cencetti |
author_facet | Lucio Di Matteo Riccardo Cardinali Valentina Cerboni Fabio Guadagnano Giorgio Piagnani Claudia Ribaldi Biagio Marco Sotera Corrado Cencetti |
author_sort | Lucio Di Matteo |
collection | DOAJ |
description | The study presents an integrated investigation of a complex landslide based on multitemporal stereo aerial photographic interpretations, existing geotechnical monitoring data, and different PSInSAR datasets. The available information allowed for the quantification of the deformation history, also in periods with no monitoring in the field, making it possible to revise the geometry of the landslide compared to the official landslide mapping. Data from sparse inclinometers are compared with more spatially continuous satellite measurements, showing that the two monitoring techniques are consistent in terms of cumulative deformation trend and in terms of response to prolonged drought and wet periods. Therefore, reliable landslide mass displacements can be monitored using satellite products when ground instrumentations are no longer operating. Understanding the landslide behavior to rainfall conditions offers an important insight into the velocities and cumulative displacements expected during similar stages of enhanced landslide activity. The findings can be helpful to support urban planners in re-evaluating hazard and risk classification and implementing efficient mitigation techniques to reduce landslide damage. |
first_indexed | 2024-03-11T07:12:26Z |
format | Article |
id | doaj.art-95887803a93846299b04b6b91a10d8f4 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-11T07:12:26Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-95887803a93846299b04b6b91a10d8f42023-11-17T08:30:04ZengMDPI AGRemote Sensing2072-42922023-02-01155122110.3390/rs15051221Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy)Lucio Di Matteo0Riccardo Cardinali1Valentina Cerboni2Fabio Guadagnano3Giorgio Piagnani4Claudia Ribaldi5Biagio Marco Sotera6Corrado Cencetti7Dipartimento di Fisica e Geologia, Università degli Studi di Perugia, 06123 Perugia, ItalyComune di Spoleto, 06049 Spoleto, ItalyDipartimento di Fisica e Geologia, Università degli Studi di Perugia, 06123 Perugia, ItalyDipartimento di Fisica e Geologia, Università degli Studi di Perugia, 06123 Perugia, ItalyGeoland, 06083 Bastia Umbra, ItalyGeoter Ambiente, 06123 Perugia, ItalyIndependent Researcher, 06049 Spoleto, ItalyDipartimento di Fisica e Geologia, Università degli Studi di Perugia, 06123 Perugia, ItalyThe study presents an integrated investigation of a complex landslide based on multitemporal stereo aerial photographic interpretations, existing geotechnical monitoring data, and different PSInSAR datasets. The available information allowed for the quantification of the deformation history, also in periods with no monitoring in the field, making it possible to revise the geometry of the landslide compared to the official landslide mapping. Data from sparse inclinometers are compared with more spatially continuous satellite measurements, showing that the two monitoring techniques are consistent in terms of cumulative deformation trend and in terms of response to prolonged drought and wet periods. Therefore, reliable landslide mass displacements can be monitored using satellite products when ground instrumentations are no longer operating. Understanding the landslide behavior to rainfall conditions offers an important insight into the velocities and cumulative displacements expected during similar stages of enhanced landslide activity. The findings can be helpful to support urban planners in re-evaluating hazard and risk classification and implementing efficient mitigation techniques to reduce landslide damage.https://www.mdpi.com/2072-4292/15/5/1221PSInSARERSENVISATCOSMO-SkyMedcomplex landslideground-based monitoring |
spellingShingle | Lucio Di Matteo Riccardo Cardinali Valentina Cerboni Fabio Guadagnano Giorgio Piagnani Claudia Ribaldi Biagio Marco Sotera Corrado Cencetti Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy) Remote Sensing PSInSAR ERS ENVISAT COSMO-SkyMed complex landslide ground-based monitoring |
title | Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy) |
title_full | Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy) |
title_fullStr | Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy) |
title_full_unstemmed | Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy) |
title_short | Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy) |
title_sort | integrated approaches for field mapping by traditional investigation and satellite psinsar data results from the montemartano landslide central italy |
topic | PSInSAR ERS ENVISAT COSMO-SkyMed complex landslide ground-based monitoring |
url | https://www.mdpi.com/2072-4292/15/5/1221 |
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