Potential of airborne LiDAR data analysis to detect subtle landforms of slope failure: Portainé, Central Pyrenees

Ortuño, María; Guinau, Marta; Calvet, Jaume; Furdada, Glòria; Bordonau, Jaume; Ruiz, Antonio M.; Camafort, Miquel

doi:10.1016/j.geomorph.2017.07.015

Cited by 31 publications

(22 citation statements)

References 65 publications

(87 reference statements)

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“…This increases the ground elevation at high-slope areas (Bailly et al, 2012), which is the case for riverbanks. Still, the ALS 5 resolution and precision were enough to identify bank slopes, in accordance with other studies (e.g., Tarolli et al, 2012;Ortuño et al, 2017). Furthermore, despite the ALS capability to estimate volume changes of eroded banks (Kessler et al, 2013), the method omits information related to the phases of the erosion cycle by not surveying erosion features smaller than its resolution (0.5 m), apparent in contrast with SfM profiles (Fig.…”

Section: Comparison Of Two Reach-scale Techniques: Sfm and Alssupporting

confidence: 84%

A low-cost technique to measure bank erosion proces ses along middle-size river reaches

Duró

Crosato

Kleinhans

et al. 2018

Preprint

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Abstract. Diverse methods are currently available to measure river bank erosion at broad-ranging temporal and spatial scales. Yet, no technique provides low-cost and high-resolution to survey small-scale bank processes along a river reach. We investigate the capabilities of Structure-from-Motion photogrammetry applied with imagery from an Unmanned Aerial Vehicle (UAV) to describe the evolution of riverbank profiles in middle-size rivers. The bank erosion cycle is used as a reference to assess the applicability of different techniques. We surveyed 1.2 km of a restored bank of the Meuse River eight times within a year, combining different photograph perspectives and overlaps to identify an efficient UAV flight to monitor banks. The accuracy of the Digital Surface Models (DSMs) was evaluated compared with RTK GPS points and an Airborne Laser Scanning (ALS) of the whole reach. An oblique perspective with eight photo overlaps was sufficient to achieve the highest relative precision to observation distance of ~1:1400, with 10 cm error range. A complementary nadiral view increased coverage behind bank toe vegetation. The DSM and ALS had comparable accuracies except on banks, where the latter overestimates elevations. Sequential DSMs captured signatures of the erosion cycle such as mass failures, slump-block deposition, and bank undermining. Although this technique requires low water levels and banks without dense vegetation, it is a low-cost method to survey reach-scale riverbanks in sufficient resolution to quantify bank retreat and identify morphological features of the bank failure and erosion processes.

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Section: Comparison Of Two Reach-scale Techniques: Sfm and Alssupporting

confidence: 84%

A low-cost technique to measure bank erosion proces ses along middle-size river reaches

Duró

Crosato

Kleinhans

et al. 2018

Preprint

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“…In this research, LiDAR data was essential for creation of a 3D model of the slope and improving the understanding of the detrimental effects of structural features (bedding planes and main faults) on landslide stability. The importance of using LiDAR data in the acquisition and monitoring of geological processes has been discussed by numerous authors including Gorsevski et al [52], Kamps et al [53] and Ortuno et al [54]. When dealing with steep rocky slopes, geomechanical surveys can only be carried out in accessible areas and LiDAR data are not always appropriate due to limitations associated with the nadir point of view of the aircraft and the resolution of the extracted digital elevation model (1m in this case).…”

Section: Discussionmentioning

confidence: 99%

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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“…Dentro de esta cuenca se encuentran las cuencas de estudio: La Vall d'Àssua, Romadriu y La Vall de Tor situadas dentro de la comarca del Pallars Sobirà. Estas cuencas han sido seleccionadas ya que (1) la cuenca de La Vall d'Àssua presenta una cartografía exhaustiva en movimientos en masa realizada por Furdada (1988), (2) la cuenca del Romadriu se caracteriza por un inventario de escarpes asociado a inestabilidades de ladera realizado por el grupo de investigación RISKNAT de la Universitat de Barcelona (UB), parcialmente publicado en Ortuño et al (2017). Y, finalmente, (3) La Vall de Tor como ejemplo de cuenca donde no hay datos previos sobre estos procesos gravitacionales.…”

Section: áRea De Estudiounclassified

Suitability of the SL index for the semi-automatic identification of mass movements affecting the drainage network

Blanco¹,

Guinau²,

Arnedo³

2019

Bol. geol. min.

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Los índices geomorfológicos, como el índice del gradiente del perfil longitudinal de los ríos (Stream Length-Gradient index, SL) han demostrado ser buenos identificadores de anomalías en los perfiles longitudinales de los ríos. Generalmente, los factores más comunes que producen estas anomalías (knickpoints) son principalmente cambios litológicos, estructuras tectónicas activas y grandes movimientos de ladera. Este estudio se propone detectar zonas de la red de drenaje afectadas por movimientos en masa utilizando el índice SL en las cuencas de La Vall d'Àssua, Romadriu y La Vall de Tor (Pirineos Centrales). La metodología utilizada consiste en calcular el índice SL utilizando la herramienta Chi-Map y, después, se han aplicado las herramientas Análisis de Puntos Calientes (Hotspot and Cluster Analysis, HCA) y Densidad de Kernel (Kernel Density, KD) de ArcGIS® para proporcionar una mejor visualización y localización de los valores anómalos del índice SL. Las anomalías de SL han sido comparadas con el inventario de inestabilidades de ladera existente en la cuenca de La Vall d'Àssua. Los resultados obtenidos de este análisis indican que hay una buena correlación entre anomalías de SL y los movimientos en masa. Además, este índice geomorfológico ha ayudado en la identificación de 13 nuevas inestabilidades de ladera en el conjunto de las tres cuencas analizadas. En conclusión, el estudio realizado ha permitido comprobar la utilidad del índice SL para detectar aquellos puntos de la red de drenaje que están afectados por movimientos en masa. Palabras clave: anomalía, índice SL, knickpoint, movimiento en masa, red de drenaje. Suitability of the SL index for the semi-automatic identification of mass movements affecting the drainage network ABSTRACT Geomorphological indices, such as the Stream Length-Gradient (SL) index, have been demonstrated to be suitable for detecting anomalies in stream-profiles. These anomalies (knickpoints) are generally related to active tectonics, lithological changes and large mass movements. This study aims to detect drainage areas affected by mass movements using SL index in La Vall d'Àssua, Romadriu and La Vall de Tor basins (Central Pyrenees). The methodology used consists of computing the SL index using the Chi-Map script and then, applying two ArcGIS® tools, which are the Hotspot and Cluster Analysis (HCA) and Kernel Density (KD), to provide a better visualisation and location of the knickpoints. SL anomalies have been compared with the slope failure inventory of La Vall d'Àssua basin, indicating a good correlation between SL anomalies and slope failures. Additionally, this geomorphological index provided the identification of 13 mass movements which had not previously been described. To sum up, this geomorphological parameter is a useful tool for the identification of drainage network areas affected by mass movements.

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Potential of airborne LiDAR data analysis to detect subtle landforms of slope failure: Portainé, Central Pyrenees

Cited by 31 publications

References 65 publications

A low-cost technique to measure bank erosion proces ses along middle-size river reaches

A low-cost technique to measure bank erosion proces ses along middle-size river reaches

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

Suitability of the SL index for the semi-automatic identification of mass movements affecting the drainage network

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