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Recognition of landslide triggering mechanisms and dynamics using GNSS, UAV photogrammetry and in situ monitoring data
ID
Peternel, Tina
(
Author
),
ID
Janža, Mitja
(
Author
),
ID
Šegina, Ela
(
Author
),
ID
Bezak, Nejc
(
Author
),
ID
Maček, Matej
(
Author
)
URL - Source URL, Visit
https://www.mdpi.com/2072-4292/14/14/3277
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Abstract
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
Views:
857
Downloads:
30
Metadata:
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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
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
Z1-2638
Name:
Napovedovanje dinamike globokih plazov z uporabo fizikalnega modeliranja in metod usmerjenih podatkov
Funder:
ARRS - Slovenian Research Agency
Project number:
P1-0419
Name:
Dinamična Zemlja
Funder:
ARRS - Slovenian Research Agency
Project number:
P1-0020
Name:
Podzemne vode in geokemija
Funder:
ARRS - Slovenian Research Agency
Project number:
N1-0180
Name:
Kvantna optomehanika z optično ujetimi submikrometrskimi delci
Funder:
Other - Other funder or multiple funders
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