A combined field/remote sensing approach for characterizing landslide risk in coastal areas

Francioni, Mirko; Coggan, John; Eyre, Matthew; Stead, Doug

doi:10.1016/j.jag.2017.12.016

Cited by 25 publications

(34 citation statements)

References 34 publications

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“…The approach used was based on hand-held DP technique which, according to Francioni et al, [56], represents one of the most cost-effective methods of using By integrating the new data set with the data obtained by DP and LiDAR, the authors have created a geomechanical model of the landslide that highlights the importance of a multi-disciplinary evaluation of large rock avalanches. A similar approach, integrating remote sensing and structural data was also shown in the study of rocky cliffs by Frodella et al [50], Tysiac et al [12], Francioni et al [16]. A critical review showing the importance of structural geology in understanding landslide failure mechanisms was presented by Stead and Wolter [51].…”

Section: Discussionmentioning

confidence: 77%

“…However, when dealing with non-accessible areas, the integration of these surveys with more innovative remote sensing techniques can provide more accurate characterization and definition of the rock slopes being investigated [11][12][13][14]. The benefits of integration of geomechanical survey and DP data has been explored by several authors [15][16][17][18]. Ferrero et al [15] analyzed rock cliff hazards in the Lake Garda (Italy) through remote geostructural surveys while Francioni et al, [16,17] used DP data to provide improved understanding of the role of structure on erosion of inaccessible rocky coastlines in Cornwall (UK) and the analysis of heterogeneous rock masses in the Italian Central Apennines.…”

Section: Introductionmentioning

confidence: 99%

“…The benefits of integration of geomechanical survey and DP data has been explored by several authors [15][16][17][18]. Ferrero et al [15] analyzed rock cliff hazards in the Lake Garda (Italy) through remote geostructural surveys while Francioni et al, [16,17] used DP data to provide improved understanding of the role of structure on erosion of inaccessible rocky coastlines in Cornwall (UK) and the analysis of heterogeneous rock masses in the Italian Central Apennines. Rossi et al [18] illustrated the potential use of multitemporal UAV for landslide mapping and characterization while Calista et al [19] combined geomorphological, geostructural and UAV data with numerical modelling in the analysis of weak rock landslides in Central Italy.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

et al. 2019

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This research aims to highlight the importance of adopting a multi-disciplinary approach to understanding the factors controlling large rock avalanches using the Scanno landslide, Italy, as a case study. The study area is the Mount Genzana, Abruzzi Central Apennines, characterized by the regional Difesa-Mount Genzana-Vallone delle Masserie fault zone. The Scanno landslide is famous for its role in the formation of the Scanno Lake. The landslide is characterized by a wide exposed scar, which was interpreted in previous studies as the intersection of high-angle joints and an outcropping bedding plane on which the landslide failed sometime between the Upper Pleistocene and the Holocene. In this study, the Scanno landslide was investigated through the integration of geological, geomechanical and geomorphological surveys. Remote sensing techniques were used to enrich the conventionally gathered datasets, while Geographic Information Systems (GIS) were used to integrate, manage and investigate the data. The results of the authors investigation show that the outcropping landslide scar can be interpreted as a low-angle fault, associated with the Difesa-Mount Genzana-Vallone delle Masserie fault zone, which differs from previous investigations and interpretations of the area. The low-angle fault provides the basal failure surface of the landslide, with two systematic high-angle joint sets acting as lateral release and back scarp surfaces, respectively. In light of these new findings, pre- and post-failure models of the area have been created. The models were generated in GIS by combining LiDAR (Light Detection and Ranging) and geophysics data acquired on the landslide body and through bathymetric survey data of the Scanno Lake. Using the pre- and post-failure models it was possible to estimate the approximate volume of the landslide. Finally, back-analyses using static and dynamic limit equilibrium methods is also used to show the possible influence of medium-to-high magnitude seismic events in triggering the Scanno landslide.

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Section: Discussionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

et al. 2019

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“…En tales trabajos se utilizan diferentes técnicas para obtener las características morfográficas y morfométricas de los deslizamientos. Algunas de estas técnicas utilizan la detección remota a través de satélites y vuelos aéreos que utilizan sensores multiespectrales, LiDAR, radares de apertura sintética (SAR) y cámaras digitales (Francioni et al, 2018). En los últimos años, los VANT se utilizan cada vez más para recopilar imágenes aéreas de alta resolución y generar cartografía geomorfológica, modelos digitales del terreno y mediciones morfográficas y morfométricas (Colomina y Molina, 2014;Edmonds, 2017).…”

Section: Antecedentesunclassified

Modelado de volúmenes utilizando análisis geomorfológico para el estudio de sedimentos aportados por deslizamientos en el flanco sur del Volcán Pico de Orizaba, México

Paulín¹,

Castro²,

Arana-Salinas³

2020

revmexcg

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En la presente investigación se muestra el modelado de la relación entre el área y el volumen de deslizamientos en una cuenca de origen volcánico y sedimentario, utilizando un análisis geomorfológico de relieve para caracterizar la inestabilidad potencial de sus laderas. El uso de este método permite una mejor comprensión de la capacidad del aporte del volumen de material producido por deslizamientos, que depende de cada una de las formas del relieve y a su vez del material que lo compone. El análisis está apoyado en los Sistemas de Información Geográfica (SIG), el uso de drones y de técnicas estadísticas para crear un método integral en la estimación del volumen de deslizamientos. Este método se aplicó a la cuenca del Río Chiquito-Barranca del Muerto en el flanco sur del volcán Pico de Orizaba, México. La cuenca es propensa a los procesos gravitacionales debido a sus condiciones fisiográficas (e.g. depósitos volcánicos y sedimentarios altamente intemperizados que forman terrenos montañosos y escarpados, y que se ven afectados por precipitaciones extremas en la época de lluvias) y antropogénicas (de forestación y cambio de uso de suelo). En el área, se cartografiaron más de seiscientos deslizamientos y se agruparon en distintas formas de relieve. Utilizamos un dron para realizar mediciones a detalle de deslizamientos representativos para establecer una relación empírica entre el área del deslizamiento y su volumen. Esta relación, expresada como una ley de potencias con un exponente de escala, se usó para estimar la contribución potencial del material producido por el total de los deslizamientos en cada forma del relieve en la cuenca. El estudio muestra que el método puede ser útil en lugares remotos con difícil acceso e información topográfica escasa. También muestra que las formas del relieve sedimentarias contribuyen con más sedimentos por kilómetro cuadrado, a pesar de tener menos deslizamientos que las formas volcánicas.

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“…The recent development of the structure from motion (SfM) method and associated software has made DP significantly easier to use. An introduction to this technique is presented by Westoby et al [10] while its applications have been recently discussed by Salvini et al [11], Francioni et al [12] and Francioni et al [13]. SfM is based on a highly redundant bundle adjustment matching features in multiple overlapping photographs.…”

Section: Introductionmentioning

confidence: 99%

A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes

et al. 2019

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Digital photogrammetry (DP) represents one of the most used survey techniques in engineering geology. The availability of new high-resolution digital cameras and photogrammetry software has led to a step-change increase in the quality of engineering and structural geological data that can be collected. In particular, the introduction of the structure from motion methodology has led to a significant increase in the routine uses of photogrammetry in geological and engineering geological practice, making this method of survey easier and more attractive. Using structure from motion methods, the creation of photogrammetric 3D models is now easier and faster, however the use of ground control points to scale/geo-reference the models are still required. This often leads to the necessity of using total stations or Global Positioning System (GPS) for the acquisition of ground control points. Although the integrated use of digital photogrammetry and total station/GPS is now common practice, it is clear that this may not always be practical or economically convenient due to the increase in cost of the survey. To address these issues, this research proposes a new method of utilizing photogrammetry for the creation of georeferenced and scaled 3D models not requiring the use of total stations and GPS. The method is based on the use of an object of known geometry located on the outcrop during the survey. Targets located on such objects are used as ground control points and their coordinates are calculated using a simple geological compass and trigonometric formula or CAD 3D software. We present three different levels of survey using (i) a calibrated digital camera, (ii) a non-calibrated digital camera and (iii) two commercial smartphones. The data obtained using the proposed approach and the three levels of survey methods have been validated against a laser scanning (LS) point cloud. Through this validation we highlight the advantages and limitations of the proposed method, suggesting potential applications in engineering geology.

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A combined field/remote sensing approach for characterizing landslide risk in coastal areas

Cited by 25 publications

References 34 publications

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

Modelado de volúmenes utilizando análisis geomorfológico para el estudio de sedimentos aportados por deslizamientos en el flanco sur del Volcán Pico de Orizaba, México

A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes

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