Introduction to Vertical Geology thematic issue

Jaboyedoff, Michel; Derron, Marc‐Henri; Buckley, Simon J.; Scaioni, Marco

doi:10.5721/eujrs20154827

Cited by 7 publications

(4 citation statements)

References 35 publications

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“…As already mentioned, UAVs give the opportunity to collect such images. The other fundamental advance is provided by the Structure-from-Motion (SfM) algorithms, that make the orientation and calibration of the camera fully automatic, without any a priori knowledge on the location of camera stations [30,118,119]. Thanks to the Multi-view Dense Matching, once the mutual position of the camera poses is reconstructed, a detailed point cloud describing the surface of the recorded object can be automatically obtained.…”

Section: Data Processing: Geometric Correctionmentioning

confidence: 99%

Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides

et al. 2020

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Coastal retreat is a non-recoverable phenomenon that—together with a relevant proneness to landslides—has economic, social and environmental impacts. Quantitative data on geological and geomorphologic features of such areas can help to predict and quantify the phenomena and to propose mitigation measures to reduce their impact. Coastal areas are often inaccessible for sampling and in situ surveys, in particular where steeply sloping cliffs are present. Uses and capability of infrared thermography (IRT) were reviewed, highlighting its suitability in geological and landslides hazard applications. Thanks to the high resolution of the cameras on the market, unmanned aerial vehicle-based IRT allows to acquire large amounts of data from inaccessible steep cliffs. Coupled structure-from-motion photogrammetry and coregistration of data can improve accuracy of IRT data. According to the strengths recognized in the reviewed literature, a three-step methodological approach to produce IRTs was proposed.

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Section: Data Processing: Geometric Correctionmentioning

confidence: 99%

Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides

et al. 2020

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“…Recognising the need for a forum where the geomatics and geoscience (sub‐)communities could interact equally (not part of specific larger conferences where one is always in the minority), the Vertical Geology Conference was organised by the University of Lausanne in 2014. The conference successfully brought together experts from the earth sciences, primarily in geology and natural hazards, as well as researchers working on methods and technology (Jaboyedoff et al., ).…”

Section: A Common Forum and Vgc 2016mentioning

confidence: 99%

Virtual Geoscience Conference 2016: where geomatics meets geoscience

Buckley¹,

Kurz²,

Jaboyedoff³

et al. 2017

The Photogrammetric Record

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Editorial VIRTUAL GEOSCIENCE CONFERENCE 2016: WHERE GEOMATICS MEETS GEOSCIENCE WE ARE CURRENTLY WITNESSING an exciting period for the geomatics sector as the fundamental role of spatial data is increasingly recognised in our society. Driven by hardware developments, software innovations and a general convergence of previously unconnected disciplines, geomatics methods are being rapidly adopted in novel ways, both within the scientific community, as well as by industry and the public sector. Geoscience is one broad field that is currently benefitting from developments in geomatics acquisition, processing and data exploitation methods made over the past decade. It is here, at the confluence between geomatics, computer science, visualisation and the broad arms of the geosciences, where the Virtual Geoscience conference series has been established. The 2nd Virtual Geoscience Conference 2016 (VGC 2016) was characterised by consolidation and growth following an earlier event in 2014, as explored in this Editorial, with the research papers that form this Special Issue showcasing extended peer-reviewed contributions from a selection of the presentations. Background to the Conference ThemeGeoscience disciplines, such as geology, glaciology and natural hazards, have long been reliant on spatial measurement derived, for example, from maps, aerial photography and regional elevation models, traditional surveying techniques or field photography. Policy shifts towards free or low-cost access to geospatial data (embodied by Google Earth and similar products) have given unprecedented reach towards the mainstream.Arguably, the early adoption by geoscientists of terrestrial laser scanning (TLS) in the mid-2000s initiated the current explosion of interest in geomatics. The relative ease of use of TLS equipment combined with "instant" dense and precise 3D point clouds served to facilitate the entry point for many geoscientists, particularly because other methods, such as photogrammetry, were reliant on high levels of expertise to achieve similar datasets. More recently, the "reinvention" of photogrammetry through key hardware developments (computing power and digital cameras) and software innovations feeding in from computer vision (for example, fast interest operators, feature matching and dense point-cloud reconstruction) has resulted in a new generation of photogrammetric software packages. These are now also FRONTISPIECE. 2nd Virtual Geoscience Conference. The conference was held in Bergen, Norway, from 21st to 23rd September 2016. This Special Issue showcases a flavour of the scientific developments at the interface between geomatics, geoscience and related disciplines. Top: conference flyer. Lower image grid, top row: 3D digital outcrop model with interpreted geological features; glacier on Spitsbergen, Norwayit is common for research into the cryosphere to use geomatics techniques. Bottom row: short-wave infrared hyperspectral image used for natural resource mapping; octocopter mounted with digital cameras, typically used for ...

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“…In Section 3 some examples of the deeper understanding that students may achieve using this tool are illustrated. The rock face scaled-down model also shows the opportunity to work on the basis of the Virtual Geology (Jaboyedoff et al, 2015). Following this approach, a complete, realistic and accurate model of the topographic surface may be used to extract in lab those parameters (for example, dip-dip orientation, joints, etc.)…”

Section: Introductionmentioning

confidence: 99%

Some Tools to Support Teaching Photogrammetry for Slope Stability Assessment and Monitoring

Scaioni

Crippa

Yordanov

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> This paper describes the use of some tool to help training of photogrammetry for applications in the field of landslide and slope stability assessment and monitoring. These tools have been used in classes of the MSc on Civil Eng. for Risk Mitigation at Politecnico di Milano university, Lecco (Italy). The first tools are hardware facilities. The first one consists of a ‘Landslide Simulator,’ where shallow landslides may be reproduced at small scale. Simulations are also used here for active-learning purpose. In particular, here the use of digital images to obtain multi-temporal information is presented. The second tool is a ‘Rock face 3D Modelling Simulator.’ This is used by students to learn how a photogrammetric block should be designed in order to reconstruct rock slopes using Structure-from-Motion photogrammetry. The last to tools are software packages (CloudCompare and LIME) devoted to point cloud analysis (including change detection/ deformation analysis) and advanced visualization, respectively. The combination of these tools together with datasets from either lab and the real field, has been successfully tested to provide efficient training to students in an active-learning fashion.</p>

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Introduction to Vertical Geology thematic issue

Abstract: This paper is an

Cited by 7 publications

References 35 publications

Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides

Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides

Virtual Geoscience Conference 2016: where geomatics meets geoscience

Some Tools to Support Teaching Photogrammetry for Slope Stability Assessment and Monitoring

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