The aim of this paper is to analyze, using the open source Qgis, GNSS and SAR data in order to assess the deformations of the Rovegliana landslide (VI). The other purpose is to check whether the two datasets are congruent with each other or not, and whether they can be used together. In the first part of my thesis, I described all the instruments used, namely SAR, GPS, TLS and Structure from Motion. I then summarized three previous case studies in order to give the reader a better understanding of the area of interest and its problems. Subsequently I analyzed, using Qgis, the SAR data from 2014-2019 and the GNSS data from the fifth and sixth measurement campaigns, held in June 2020 and June 2022.
The aim of this paper is to analyze, using the open source Qgis, GNSS and SAR data in order to assess the deformations of the Rovegliana landslide (VI). The other purpose is to check whether the two datasets are congruent with each other or not, and whether they can be used together. In the first part of my thesis, I described all the instruments used, namely SAR, GPS, TLS and Structure from Motion. I then summarized three previous case studies in order to give the reader a better understanding of the area of interest and its problems. Subsequently I analyzed, using Qgis, the SAR data from 2014-2019 and the GNSS data from the fifth and sixth measurement campaigns, held in June 2020 and June 2022.
ANALYSIS OF GNSS AND INSAR DATA FOR THE MONITORING OF ROVEGLIANA LANDSLIDE (RECOARO TERME, VICENZA)
PIZZAIA, ANITA
2021/2022
Abstract
The aim of this paper is to analyze, using the open source Qgis, GNSS and SAR data in order to assess the deformations of the Rovegliana landslide (VI). The other purpose is to check whether the two datasets are congruent with each other or not, and whether they can be used together. In the first part of my thesis, I described all the instruments used, namely SAR, GPS, TLS and Structure from Motion. I then summarized three previous case studies in order to give the reader a better understanding of the area of interest and its problems. Subsequently I analyzed, using Qgis, the SAR data from 2014-2019 and the GNSS data from the fifth and sixth measurement campaigns, held in June 2020 and June 2022.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/33268