UAV-based mapping, back analysis and trajectory modeling  of a coseismic rockfall in Lefkada island, Greece

Saroglou, Charalampos; Asteriou, Pavlos; Zekkos, Dimitrios; Tsiambaos, G.; Clark, Marin K.; Manousakis, John

doi:10.5194/nhess-18-321-2018

Cited by 45 publications

(32 citation statements)

References 21 publications

(33 reference statements)

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“…The use of RPASs can be considered for single case study applications to help decision makers in the identification of landslide damage and the definition of residual risk (Giordan et al, 2015a). Saroglou et al (2018) presented the use of RPASs for the definition of trajectories of rockfall-prone areas. Salvini et al (2017Salvini et al ( , 2018 and Török et al (2018) described the combined use of TLS and RPASs for hazard assessment of steep rock walls.…”

Section: Landslide Susceptibility and Hazard Assessmentmentioning

confidence: 99%

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Giordan

Hayakawa

Nex

et al. 2018

Nat. Hazards Earth Syst. Sci.

140

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Abstract. The number of scientific studies that consider possible applications of remotely piloted aircraft systems (RPASs) for the management of natural hazards effects and the identification of occurred damages strongly increased in the last decade. Nowadays, in the scientific community, the use of these systems is not a novelty, but a deeper analysis of the literature shows a lack of codified complex methodologies that can be used not only for scientific experiments but also for normal codified emergency operations. RPASs can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes such as landslides or volcanic activities but can also define the effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards. IntroductionIn the last three decades, the number of natural disasters showed a positive trend with an increase in the number of affected populations. Disasters not only affected the poor and characteristically more vulnerable countries but also those thought to be better protected. The Annual Disaster Statistical Review describes recent impacts of natural disasters on the population and reports 342 naturally triggered disasters in 2016 (Guha-Sapir et al., 2017). This is less than the annual average disaster frequency observed from 2006 to 2015 (376.4 events). However, natural disasters are still responsible for a high number of casualties (8733 death). In the period 2006-2015, the average number of causalities caused annually by natural disasters is 69 827. In 2016, hydrological disasters (177) had the largest share in natural disaster occurrence (51.8 %), followed by meteorological disasters (96; 28.1 %), climatological disasters (38; 11.1 %) and geophysical disasters (31; 9.1 %) (Guha-Sapir et al., 2017). To face these disasters, one of the most important solutions is the use of systems able to provide an adequate level of information for correctly understanding these events and their evolution. In this context, surveying and monitoring natural hazards gained importance. In particular, during the emergency phase it is very important to evaluate and control the phenomenon of evolution, preferably operating in near real time or real time, and consequently, use this information for a better risk assessment scenario. The available acquired data must be processed rapidly to support the emergency services and decision makers.Recently, the use of remote sensing (satellite and airborne platform) in the field of natural hazards and disasters has become common, also supported by the increase in geospatial technologies and the ability to provide and process up-to-date imagery (Joyce et al., 2009;Tarolli, 2014). Remotely sensed data play an integral role in predicting hazard events such as floods and landslides, subsidence events and other ground instabilities. Because of their acquisition mode and capabilPublished by Copern...

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Section: Landslide Susceptibility and Hazard Assessmentmentioning

confidence: 99%

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Giordan

Hayakawa

Nex

et al. 2018

Nat. Hazards Earth Syst. Sci.

140

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“…UAV technology (e.g. Saroglou et al, 2018;Vanneschi et al, 2019), which could improve the calibration of both surface and soil parameters and reduce the amount of field work. DTM1-DTM5 spatial resolutions have proven to predict the shape of the rockfall area the most accurately, while at DTM10-DTM25 the shape of the propagation area is simplified and it indicates the shape of raster cells (Zieher et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

Rockfall modelling in forested areas: the role of digital terrain model spatial resolution

Žabota

Mikoš

Kobal

2019

Preprint

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Abstract. This article examines how digital terrain model (DTM) spatial resolution influences rockfall modelling using a probabilistic process-based model, RockyFor3D, while taking into account the effect of forest on rockfall propagation and runout area. A rockfall site in the Trenta valley, NW Slovenia, was chosen as a case study. The analysis included DTM spatial resolutions of 1 m, 2 m, 5 m, 10 m, 12.5 m and 25 m, based on lidar data. The highest spatial resolution (1 m) was used to calibrate the surface roughness coefficients of the model while also taking into account the effect of forest since it shapes the rockfall propagation and runout area. The results of the calibration runs were evaluated using goodness-of-fit indices, and the best set of parameters were further used for modelling rockfalls with and without the effect of forest for all spatial resolutions. Accuracy statistics were used to validate the modelled rockfall propagation and runout area for each spatial resolution, with/without the effect of forest. Finally, modelling outputs, such as the mean of the maximum and maximum kinetic energy, the number of block passes and forest parameters in the rockfall propagation area, were compared.

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“…More recently, Papathanassiou et al (2013) [27] investigated the earthquake-induced instabilities in Lefkada Island and [28] have studied the evolution of rockfalls triggered by earthquakes in northern Peloponnese. Saroglou et al (2017) [29] studied the coseismic rockfalls during Lefkada (2015) and Cephallonia (2014) earthquakes and Saroglou et al (2018) [30] back-analyzed a coseismic rockfall trajectory of the Lefkada 2015 earthquake using UAV-based mapping.…”

Section: Introductionmentioning

confidence: 99%

“…Impact of main rockfall events: (a) on local road network in Lefkada during 2003 earthquake (site 3) (b) on National Highway in Tempi valley in 2009 (site 11), (c) in Alyki village in 2019 (site 43), (d) in Monemvasia archaeological site (site 19).Recent events that affected inhabited areas are those in Eptachori in 1994 (site 17), in Skyros in 2001 [44], Santomeri in 2008(Koukouvelas et al, 2015 [45]), and Tithorea in 2010(Saroglou et al, 2015) [46], Plomari in 2018 and Alyki village in 2019. Finally, a house was impacted by a rockfall during a Mw 6.4 earthquake in Lefkada in 2015, resulting in one casualty (Saroglou et al, 2018[30]).…”

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confidence: 99%

GIS-Based Rockfall Susceptibility Zoning in Greece

Saroglou

2019

Geosciences

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The assessment of rockfall risks on human activities and infrastructure is of great importance. Rock falls pose a significant risk to (a) transportation infrastructure, (b) inhabited areas, and (c) Cultural Heritage sites. The paper presents a method to assess rockfall susceptibility at national scale in Greece, using a simple rating approach and Geographic Information Systems (GIS) techniques. An extensive inventory of rockfalls for the entire country was compiled for the period between 1935 and 2019. The rockfall events that were recorded are those which have mainly occurred as distinct rockfall episodes in natural slopes and have impacted human activities, such as roads, inhabited areas, and archaeological sites. Through a detailed analysis of the recorded data, it was possible to define the factors which determine the occurrence of rockfalls. Based on this analysis, the susceptibility zoning against rockfalls at the national scale was prepared, using a simple rating approach and GIS techniques. The rockfall susceptibility zoning takes into account the following parameters: (a) the slope gradient, (b) the lithology, (c) the annual rainfall intensity, (d) the earthquake intensity, and (e) the active fault presence. Emphasis was given on the study of the earthquake effect as a triggering mechanism of rockfalls. Finally, the temporal and spatial frequency of the recorded events and the impact of rockfalls on infrastructure assets and human activities in Greece were evaluated.

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UAV-based mapping, back analysis and trajectory modeling of a coseismic rockfall in Lefkada island, Greece

Cited by 45 publications

References 21 publications

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Rockfall modelling in forested areas: the role of digital terrain model spatial resolution

GIS-Based Rockfall Susceptibility Zoning in Greece

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