Recognition of landslide triggering mechanisms and dynamics using GNSS, UAV photogrammetry and in situ monitoring data

Peternel, Tina (author), Janža, Mitja (author), Šegina, Ela (author), Bezak, Nejc (author), Maček, Matej (author)

Detecting the mechanism of landslides and evaluating their dynamics is challenging, especially concerning composite landslides. For this purpose, several investigation and monitoring techniques should be implemented to obtain reliable information on landslide characteristics (e.g., geological and hydrogeological conditions and type of landslide processes), kinematics (displacement rate), and potential triggering mechanisms (e.g., change in groundwater table and precipitation). The Urbas landslide in northwest Slovenia has been studied for decades through geological, geotechnical, geodetic, and remote sensing investigations. However, due to the complexity of the landslide and the short duration of continuous monitoring, no assessment of its dynamics has been made. To meet this need, this study analysed continuous and periodic monitoring of landslide displacements using data from the global navigation satellite system (GNSS), a wire extensometer, unmanned aerial vehicle (UAV) photogrammetry, and hydrometeorological sensing (groundwater table, precipitation). The results of this study show that the dynamics of the Urbas landslide differ along the landslide area, depending on local geological and hydrogeological conditions. Consequently, certain parts of the landslide are at different evolutionary states and respond differently to the same external triggers.

• Language: English
• Keywords: landslide, triggering mechanisms, dynamics, GNSS, in situ geotechnical monitoring
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FGG - Faculty of Civil and Geodetic Engineering
• Publication status: Published
• Publication version: Version of Record
• Publication date: 07.07.2022
• Year: 2022
• Number of pages: 19 str.
• Numbering: Letn. 14, št. 14, art. 3277
• PID: 20.500.12556/RUL-138545
• UDC: 55
• ISSN on article: 2072-4292
• DOI: 10.3390/rs14143277
• COBISS.SI-ID: 115166979
• Publication date in RUL: 27.07.2022

Record is a part of a journal

• Title: Remote sensing
• Shortened title: Remote sens.
• Publisher: MDPI
• ISSN: 2072-4292
• COBISS.SI-ID: 32345133

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Title: Zaznavanje sprožilnih dejavnikov plazov z uporabo GNSS, UAV fotogrametrije in ostalih terenskih podatkov
• Keywords: plazovi, sprožilni dejavniki, dinamika, GNSS, terenski geotehnični monitoring