The Use of Total Station for Monitoring Mass Movements: Application to Fajãzinha Landslide at Flores Island (Azores Archipelago)

Amaral, Paulo; Malheiro, Ana; Marques, Filipe; Moniz, Letícia; Furtado, Sílvia; Loura, Nuno

doi:10.1007/978-3-030-34397-2_12

Cited by 3 publications

(1 citation statement)

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“…The surface motion of landslides and rockfalls can be derived from pointwise or areal monitoring observations. In the case of pointwise monitoring, the displacements of a limited number of carefully selected, signalized points are measured with high accuracy using, e.g., total stations (TS) (Frukacz et al 2017;Amaral et al 2020) or GNSS sensors (Malet et al 2002;Glabsch et al 2009). These displacements then need to be generalized in order to derive the changes within the whole area of interest.…”

Section: Introductionmentioning

confidence: 99%

Dense 3D displacement vector fields for point cloud-based landslide monitoring

Gojčič

Schmid

2021

Landslides

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We propose a novel fully automated deformation analysis pipeline capable of estimating real 3D displacement vectors from point cloud data. Different from the traditional methods that establish displacements based on the proximity in the Euclidean space, our approach estimates dense 3D displacement vector fields by searching for corresponding points across the epochs in the space of 3D local feature descriptors. Due to this formulation, our method is also sensitive to motion and deformations that occur parallel to the underlying surface. By enabling efficient parallel processing, the proposed method can be applied to point clouds of arbitrary size. We compare our approach to the traditional methods on point cloud data of two landslides and show that while the traditional methods often underestimate the displacements, our method correctly estimates full 3D displacement vectors.

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