Don’t miss out this summer school in Austria….!
2nd Innsbruck Summer School of Alpine Research on Close-range Sensing in Alpine Terrain
The international summer school is jointly organized by the University of Innsbruck, the International Society for Photogrammetry and Remote Sensing, and the Austrian Academy of Sciences.
accommodation and food is provided to all participants… More info here: https://www.uibk.ac.at/geographie/summerschool/
Good news, we have a new website for the RockRisk project,
This is challenging project leaded by my colleagues at Technical school of Catalonia (Nieves Lantada and Jordi Corominas) aiming to investigate rockfall hazard and risk, both studying rockfall volumes, fragmentation, propagation and vulnerability of the building to rockfall impacts.
Please, take a look at the website and collaborators here: http://rockrisk.upc.edu/
I would like to invite you to consider submitting a manuscript to this Special Issue:
Special Issue Information
Contributions aiming to use 3D point clouds for investigating natural phenomena (including ground deformation, landslides, floods, earthquakes, volcanoes, soil erosion, etc.) that pose serious risks to human beings or infrastructures will be much appreciated in this special issue. We aim to put together innovative contributions about novel processing techniques and original applications of three-dimensional techniques in Geohazards. Some examples include, but are not limited to:
- Novel technologies or procedures for dynamic acquisition of 3D point clouds
- New computational methods related with the monitoring of natural phenomena
- Semi-automatic extraction of terrain features related with the characterization of geological hazard
- Integration of very high quality data for improving the modeling of geohazards
- Recent case studies: innovative analysis and interpretation of Geohazards
- Use of three-dimensional systems in laboratory scale experiments (micro scale)
- Improvements in regional mapping derived from high quality 3D data
- Pioneering initiatives for the creation of 3D databases, web visualization and data sharing
- Further related topics.
I have good news!: I will perform an invited talk at the AGU conference at San Francisco this year.
The title of the conference is “Recent advances in analysis and prediction of Rock Falls, Rock Slides, and Rock Avalanches using 3D point clouds“, within the session of Greg Stock (Yosemite National Park), Brian Collins (U.S. Geological Survey) and Jeffrey Moore (University of Utah).
It will be an honor having the possibility to present our recent (and future) research there… so thanks to all the people that made this dream become possible! this will be one of the best Christmas present ever. Please take a look to the conference abstract here: https://agu.confex.com/agu/fm14/meetingapp.cgi#Paper/2299
NH43B-08: Recent advances in analysis and prediction of Rock Falls, Rock Slides, and Rock Avalanches using 3D point clouds Thursday, 18 December 2014: 3:25
Antonio Abellan1, Dario Carrea1, Michel Jaboyedoff1, Adrian Riquelme2, Roberto Tomas2, Manuel Jesus Royan3, Joan Manuel Vilaplana3 and Neal Gauvin4,
I’ve been invited by my colleagues of Physical Geography Department – Katholische Universität Eichstätt-Ingolstadt to give some lectures at their institution (see their announcement here).
I will be there from October to December during a total period of four weeks.
Here I attach some data (DATA NO LONGER AVAILABLE, SORRY) that we will use for the courses of this week:
WEDNESDAY 26 Nov. Today we will learn some basics about CloudCompare for 3D point clouds visualization and tratment…. Then you will have some more time for applying this info to your own LiDAR or photogrammetric data
THURSDAY 27 November. Today we will be using Point Cloud free software for learning how to do comparison of 3D models for monitoring purposes..
Good luck and… enjoy!
I was really interested on this new application from my colleagues of the Computer Vision and Geometry Lab of ETH Zurich. They developed an application for smartphone that turns mobile-captured images into 3D point clouds. The user simply moves the phone around the object of interest aiming to maximize the common points between both images and a big enough parallax to obtain the relief. The point cloud is processed using Structure From Motion algorithms, with the aid of the internal sensors of the mobile phone.
I wish I could have a Beta tester version to show to my friend and colleagues on the go, when I’m trying to explain them the meaning of what a point cloud is 🙂
More info here: https://www.ethz.ch/en/news-and-events/media-information/media-releases/2013/12/smartphone-as-scanner.html
Université Européenne d’Eté (UEE) 2014, N°1
en région Rhône-Alpes
16 au 20 Juin 2014 – Bernin, Grésivaudan (Isère)
This June we had the pleasure to carry out a summer school on 3D techniques (LiDAR and photogrammetry) for landslide analysis and monitoring.
We have been sharing a very dynamic course with 30 motivated participants with very different backgrounds: some of them doing research, other working such as consultants, risk managers, etc.
Thanks to the organizers, teaching team and to all the participants, it has been a very interesting week for me too.
More info on the program, calendar, etc here: http://www.risknat.org/pages/universites/session2014.html
Riquelme, A., Abellan, A., Tomás, R., Jaboyedoff, M (2014). A new approach for semi-automatic rock mass joints recognition from 3D point clouds. Computers & Geosciences, 68(0), pp.38–52. DOI: 10.1016/j.cageo.2014.03.014
Our paper concerning a semi-authomatic methodology for the identification and analysis of flat surfaces outcropping in rocky slopes from 3D point clouds has been finally published in Computer and Geosciences (Riquelme et al., 2014). The method is based on a three steps process: (i) to carry out a nearest neighbour points coplanarity test and to computate the normal vector; (ii) to find the principal orientation families by Kernel Density Estimation; and (iii) to identify and extract clusters of points belonging to the same discontinuity. Different sources of information – synthetic and 3D scanned data – were employed in this study in order to better construct the algorithm and validate the method.
Finally, both RAW source files and obtained results are freely provided online, aiming to a more reproducible research (see first author personal website): http://personal.ua.es/es/ariquelme/nuevo-metodo-para-deteccion-semi-automatica-de-discontinuidades-a-partir-de-datos-lidar.html
On February this year, thanks to the Swiss National project I’m enroled as a post-doc researcher and leade by Prof. Michel Jaboyedoff (Risk Analysis group, Unil), I had the chance to perform fieldwork research in the Andes and Patagonia (Argentina) in collaboration with my colleagues Dr. Ivanna Penna and Sergio Daicz from Univ. Lausanne. We have there collaborated with the researchers from the Argentinean Geological Survey: Valerie Baumann, Analía Casa, Luis Fauqué, Mariale González and Mario Rosas. We have collected extensive information on several landslide case studies using a terrestrial LiDAR Ilris 3D, a phantom dron and a Gigapan… more updates will come soon..