Periodic Monitoring of the Kostanjek Landslide Using UAV

Jakopec, Ivan; Marendić, Ante; Paar, Rinaldo; Grgac, Igor; Tomić, Hrvoje; Krkač, Martin; Letunić, Tomislav

doi:10.1007/978-3-030-51953-7_20

Cited by 1 publication

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“…The most used technique to quantify the topographic changes is based on image correlation techniques, which detect corresponding features or patches in two images by correlating their intensity values to detect topographic changes. Many authors use this technique on georeferenced orthomosaic images produced from different survey epochs to determine horizontal landslide displacement (Jakopec et al, 2021;Marendic et al, 2017;Niethammer et al, 2012;Peternel et al, 2017;Powers et al, 1996). One of the most used software that uses image correlation techniques is the Co-registration of Optically Sensed Images and Correlation (COSI-Corr) (Leprince et al, 2007), and many authors use it in their research to determine horizontal landslide displacements (Fernández et al, 2016;Lucieer et al, 2014;Turner et al, 2015).…”

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confidence: 99%

A Novel Approach to Landslide Monitoring Based on Unmanned Aerial System Photogrammetry

Jakopec

Marendić

Grgac³

2022

MGPB

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Landslides represent great dangers that can cause fatalities and huge property damage. To prevent or reduce all possible consequences that landslides cause, it is necessary to know the kinematics of the surface and undersurface sliding masses. Geodetic surveying techniques can be used for landslide monitoring and creating a kinematic model of the landslide. One of the most used surveying techniques for landslide monitoring is the photogrammetric survey by Unmanned Aerial System. The results of the photogrammetric survey are dense point clouds, digital terrain models, and digital orthomosaic maps, where landslide displacements can be determined by comparing these results in two measurement epochs. This paper presents a new data processing method with a novel approach for calculating landslide displacements based on Unmanned Aerial System photogrammetric survey data. The main advantage of the new method is that it does not require the production of dense point clouds, digital terrain models, or digital orthomosaic maps to determine displacements. The applicability and accuracy of the new method were tested in a test field with simulated displacements of known values within the range of 20-40 cm in various directions. The new method successfully determined these displacements with a 3D accuracy of ±1.3 cm.

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