An integrated approach for the reconstruction of rockfall scenarios from UAV and satellite-based data in the Sorrento Peninsula (southern Italy)

Schilirò, Luca; Robiati, Carlo; Smeraglia, Luca; Vinci, Francesco; Iannace, Alessandro; Parente, Mariano; Tavani, Stefano

doi:10.1016/j.enggeo.2022.106795

Cited by 21 publications

(9 citation statements)

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“…Studying the characteristics of past landslides accurately aids in predicting and preparing for susceptible areas in the future [ 7 , 8 , 10 , [12] , [13] , [14] , [15] , [16] , [17] , 71 ]. Fig.…”

Section: Field Demonstrationsmentioning

confidence: 99%

“…Reichenbach et al [ 6 ] have conducted a cluster study on the thematic parameters for landslide prediction and it has reported that more than 70% of parameters are relevant to topographic information and they significantly impact the accuracy of landslide prediction. Accordingly, topographic information of landslide-prone areas plays a critical role in the landslide-related analyses—not only the occurrence prediction, flow analysis and vulnerability analysis, but also the countermeasure installations [ [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] ].…”

Section: Introductionmentioning

confidence: 99%

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Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration

Choi,

Ramirez,

Kwon

2023

Heliyon

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Section: Field Demonstrationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration

Choi,

Ramirez,

Kwon

2023

Heliyon

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“…Among the techniques to produce virtual outcrop models, structure from motion-multiview stereo (SfM-MVS) digital photogrammetry (e.g., Arbués et al, 2012;James & Robson, 2012;Favalli et al, 2012;Bemis et al, 2014;Tavani et al, 2014), particularly thanks to the advances in drone imagery, has emerged as a flexible, precise and easy-touse methodology. This technique has progressively been applied in diverse disciplines including structural geology (Franceschi et al, 2015;Corradetti et al, 2017;Camanni et al, 2021), fracture stratigraphy (Manniello et al, 2023), geomechanics (Menegoni et al, 2019;Furlani et al, 2022;Schilirò et al, 2022;Mammoliti et al, 2023), geomorphology (Brodu & Lague, 2012;Carrivick & Smith, 2019;Devoto et al, 2020) stratigraphy (Nesbit et al, 2018) and sedimentology (Fabuel-Perez et al, 2010;Jablonska et al, 2021) among many others.…”

Section: Introductionmentioning

confidence: 99%

Biostratigraphic investigations assisted by virtual outcrop modeling: a case study from an Eocene shallow-water carbonate succession (Val Rosandra gorge, Trieste, NE Italy)

Consorti,

Corradetti,

Hadi

et al. 2024

IJG

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Virtual outcrop modeling has emerged as a tool for supporting geological field activities such as geological mapping and stratigraphic investigations. Here we show how this technique can be used to support the detailed stratigraphic logging and sampling with a case history from the Eocene carbonate platform succession exposed in the Val Rosandra gorge, in the vicinity of the city of Trieste, NE Italy. The biostratigraphic analysis highlighted the occurrence of Shallow Benthic zones (SBZ) 10 to 12 and the planktonic zones E7/E8. An upwards-deepening trend, from inner platform to a hemipelagic domain, is observed through the studied stratigraphic interval and is in accordance with the vertical evolution recorded in other Eocene successions of the Adriatic Carbonate Platform. Aerial drone imaging was used to produce a virtual outcrop model of the studied succession that provided a highresolution geometrical framework for field measurements, sample geotagging and observations. For instance, the virtual outcrop model assisted in determining the true thickness of beds, a task that can be subject to significant imprecisions when measurements are taken by hand. Ultimately, the integration of virtual outcrop modeling with classical sampling and measuring methods resulted in accurate stratimetry and in the precise spatial positioning of samples that were taken for biostratigraphy and facies characterization.

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“…In the survey of coastal cliffs, sometimes the use of this technique has become even more complicated or impossible due to the sea [23]. For these reasons, in recent years, technological advances in unmanned aerial vehicles (UAV) are increasingly used for building high-resolution 3D outcrop models via Structure-from-Motion, multi-view stereo photogrammetry (SfM-MVS) [35][36][37]. In this study, we proposed a method for the analysis of the fracture-driven groundwater flow direction in a sea rocky cliff in central Italy, which is interested by frequent rockfalls.…”

Section: Introductionmentioning

confidence: 99%

3D Discrete Fracture Network Modelling from UAV Imagery Coupled with Tracer Tests to Assess Fracture Conductivity in an Unstable Rock Slope: Implications for Rockfall Phenomena

et al. 2023

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The stability of a rock slope is strongly influenced by the pattern of groundwater flow through the fracture system, which may lead to an increase in the water pressure in partly open joints and the consequent decrease in the rock wall strength. The comprehension of the fracture pattern is a challenging but vital aspect in engineering geology since the fractures’ spatial distribution, connectivity, and aperture guide both the water movement and flow quantity within the rock volume. In the literature, the most accepted methods to hydraulically characterise fractured rocks in situ are the single borehole packer test, the high-resolution flow meters for fractures, and the artificial tracer tests performed in boreholes. However, due to the high cost a borehole requires and the general absence of wells along coastal cliffs, these methods may not be appropriate in rockfall-prone areas. In this study, an unsaturated rocky cliff, strongly affected by rockfalls, was investigated by combining kinematic analysis, Discrete Fracture Network (DFN) modelling, and artificial tracer tests. The DFN model and potential rock block failure mechanisms were derived from high-resolution 3D virtual outcrop models via the Structure from Motion (SfM) photogrammetry technique. An artificial tracer was injected using a double ring infiltrometer atop the recharge zone of the slope to determine the infiltration rate and validate the DFN results. The DFN and tracer test methods are frequently used at different spatial scales and for different disciplines. However, the integration of digital photogrammetry, DFN, and tracer tests may represent a new step in rockfall and landslide studies. This approach made possible the identification of groundwater flow patterns within the fracture system and revealed about a 10-day tracer transit time from the injection area and the monitored slope, with similar conductivity values gathered from both the DFN and tracer test. Planar and wedge failures with volumes ranging from 0.1 and 1 m3 are the most probable failure mechanisms in the areas. The results were consistent with the delay between the intense rainfall and the slope failures previously documented in the study area and with their mechanisms.

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An integrated approach for the reconstruction of rockfall scenarios from UAV and satellite-based data in the Sorrento Peninsula (southern Italy)

Cited by 21 publications

References 50 publications

Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration

Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration

Biostratigraphic investigations assisted by virtual outcrop modeling: a case study from an Eocene shallow-water carbonate succession (Val Rosandra gorge, Trieste, NE Italy)

3D Discrete Fracture Network Modelling from UAV Imagery Coupled with Tracer Tests to Assess Fracture Conductivity in an Unstable Rock Slope: Implications for Rockfall Phenomena

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