Slow-moving landslides: kinematic analysis and movement evolution modeling

Kavoura, Katerina; Κωνσταντοπούλου, Μαρία; Depountis, Nikolaos; Sabatakakis, N.

doi:10.1007/s12665-020-8879-7

Cited by 17 publications

(16 citation statements)

References 44 publications

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“…For a deterministic point-wise scatterer, its signal model is built as z k = g + n k (k = 1, • • • , K), where g is a pixel's reflectivity. To better analyze the relationship between the dispersion index D A and the phase standard deviation σ V , g is fixed to 1. n is the noise term, and tends to be a complex circular Gaussian distribution with power σ 2 n for both real and imaginary components. The deviation σ n gradually increases from 0.05 to 0.8.…”

Section: Permanent Scatterermentioning

confidence: 99%

“…A key problem is how to accurately estimate the noise term from the interferometric phase. The basic solution is to design a filtering framework based on the different temporal and spatial properties of those four phase terms in (2).…”

Section: Quasi-permanent Scatterermentioning

confidence: 99%

“…Surface deformations normally occur before the macro failure of natural and engineered slopes. Deformation measurement is of great significance to forecast and early warn landslide hazards [1,2]. Spaceborne synthetic aperture radar (SAR) is a powerful and effective remote-sensing technique for surveying large areas (km 2 ).…”

Section: Introductionmentioning

confidence: 99%

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High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry

et al. 2021

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Phase analysis based on high-quality pixel (HQP) is crucial to ensure the measurement accuracy of ground-based SAR (GB-SAR). The amplitude dispersion (ADI) criterion has been widely applied to identify pixels with high amplitude stability, i.e., permanent scatterers (PSs), which typically are point-wise scatterers such as stones or man-made structures. However, the PS number in natural scenes is few and limits the GB-SAR applications. This paper proposes an improved method to take HQP selection applied for natural scenes in GB-SAR interferometry. In order to increase the spatial density of HQP for phase measurement, three types of HQPs including PS, quasi-permanent scatter (QPS), and distributed scatter (DS), are selected with different criteria. The ADI method is firstly utilized to take PS selection. To select those pixels with high phase stability but moderate amplitude stability, the temporal phase coherence (TPC) is defined. Those pixels with moderate ADI values and high TPC are selected as QPSs. Then the feasibility of the DS technique is explored. To validate the feasibility of the proposed method, 2370 GB-SAR images of a natural slope are processed. Experimental results prove that the HQP number could be significantly increased while slightly sacrificing phase quality.

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Section: Permanent Scatterermentioning

confidence: 99%

Section: Quasi-permanent Scatterermentioning

confidence: 99%

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High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry

et al. 2021

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“…The kinematic motion of the landslide was interpreted for the period of 2013-2019, mainly from continuous data gathered by the 15 GNSS sensors installed in the landslide area. GNSS provide high quality data related to precision and its temporal resolution, important for the interpretation of landslide dynamics and kinematics (Malet et al, 2002;Kavoura et al, 2020), as well as for the establishment of early warning systems (Wu et al, 2019). Additional data necessary for the kinematic interpretation of the Kostanjek landslide were obtained during detailed geomorphological mapping of sporadic morphological features appearing on the landslide.…”

Section: Introductionmentioning

confidence: 99%

Kinematic Model of the Slow-Moving Kostanjek Landslide in Zagreb, Croatia

Krkač

Gazibara

Sečanj

et al. 2021

MBPB

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The interpretation of landslide kinematics provides important information for those responsible for the management of landslide risk. This paper presents an interpretation of the kinematics of the slow-moving Kostanjek landslide, located in the urbanized area of the city of Zagreb, Croatia. The sliding material (very weak to weak marls, often covered with clayey topsoil) exhibits plastic, rather than rigid behavior. Due to this reason, and low landslide velocities, landslide features, such as main scarps or lateral flanks, are barely noticeable or do not exist in most of the landslide area. The data used for the kinematic interpretation were obtained from 15 GNSS sensors, for the period of 2013-2019. The monitoring data revealed a different spatial and temporal distribution of landslide velocities, resulting as a consequence of geomorphological conditions and forces that govern the landslide movements. Temporally, eight periods of faster movements and seven periods of slower movements were determined. Spatially, velocities measured in the central part of the landslide were higher than on its boundaries. The interpretation of the surface (horizontal and vertical) displacements and the direction of movement reveal a new insight into the engineering geological model and provide important information for the management of the Kostanjek landslide risk.

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“…Landslides are one of the most frequent geohazards in Europe and can severely impact coastal areas [1][2][3][4][5][6][7][8]. In particular, landslides are common along the European coasts of the Mediterranean Sea and can include different types of transport mechanisms such as falls, slides, spreads, or flows [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides

et al. 2020

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The aim of this study is to demonstrate the advantages of using micro drones in the study of large slow-moving landslides, which are widespread along the northwestern coast of Malta. In particular, attention was given to the inventory and analysis of gravity-induced joints and megaclast deposits at four study sites selected due to the presence of remarkable examples of lateral spreads evolving into block slides. The research was carried out by means of Google Earth (GE) image analysis and uncrewed aerial vehicle digital photogrammetry (UAV-DP). UAV-DP outputs enabled the identification and characterization of tens of persistent joints (locally exceeding 150 m) and permitted the size categorization of thousands of blocks. With reference to gravity-induced joints, a favorable agreement was found between existing datasets (mainly based on the integration of GE analysis and field survey) and UAV-DP outputs in terms of the identification of joints and their persistence. Conversely, the use of the UAV-DP technique showed significant advantages in terms of joint aperture determination (even exceeding 1 m) and distribution setting. Regarding the extensive megaclast deposits, UAV-DP enabled the identification of 8943 individuals which, compared with the 5059 individuals identified by GE analysis, showed an increase in the total population of 76%. This is related to the high accuracy of DP-derived orthomosaics and 3D models, which are particularly useful for identifying detached blocks. The inexpensive technique used in this research highlights its potential for being extended to other rocky coastal areas affected by slow-moving landslides.

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Slow-moving landslides: kinematic analysis and movement evolution modeling

Cited by 17 publications

References 44 publications

High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry

High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry

Kinematic Model of the Slow-Moving Kostanjek Landslide in Zagreb, Croatia

Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides

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