Monitoring Surface Displacement of a Deep-Seated Landslide by a Low-Cost and Near Real-Time GNSS System
| Autor: | Angelo Consoli, Jernej Jež, Andrea Gatti, Eugenio Realini, Mateja Jemec Auflič, Tina Peternel, Tilen Urbančič, Giulio Tagliaferro, Joaquín Reyes González, Matija Zupan, Stefano Caldera, Ela Šegina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
landslide
010504 meteorology & atmospheric sciences Slovenia 0211 other engineering and technologies Satellite system remote sensing landslide GNSS classic geodetic measurement Slovenia 02 engineering and technology Processing remote sensing GNSS classic geodetic measurement 01 natural sciences Displacement (vector) zemeljski plazovi Slovenija lcsh:Science 0105 earth and related environmental sciences computer.programming_language Remote sensing 021110 strategic defence & security studies geodetske meritve business.industry Geodetic datum Landslide Surface displacement GNSS applications daljinsko zaznavanje General Earth and Planetary Sciences udc:528:504.4(497.4) The Internet lcsh:Q business computer Geology |
| Zdroj: | Remote Sensing, Vol 12, Iss 3375, p 3375 (2020) Remote Sensing; Volume 12; Issue 20; Pages: 3375 Remote sensing, vol. 12, no. 20, 3375, 2020. |
| ISSN: | 2072-4292 |
| Popis: | A prototype of a low-cost GNSS (Global Navigation Satellite System) monitoring system was installed on a deep-seated landslide in north-western Slovenia to test its performance under field conditions. The system consists of newly developed GNSS stations based on low-cost, dual-frequency receivers and open-source GNSS processing software. It automatically receives GNSS data and transmits them over the Internet. The system processes the data server-side and makes them available to the end user via a web portal. The detected surface displacements were evaluated through a comparison with the network of classic geodetic measurements. The results of a nine-month monitoring period using seven GNSS stations provided a detailed insight into the spatial and temporal pattern of deep-seated landslide surface movements. The displacement data were correlated with precipitation measurements at the site to reveal how different parts of the landslide react to rainfall. These data form the basis for the further development of an early-warning system which will help to manage the risk the landslide poses to the local population and infrastructure. |
| Databáze: | OpenAIRE |
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