Université de Rennes1
Campus de Beaulieu
35042 Rennes Cedex
02 23 23 60 76
Activités autour du Scanner laser terrestre/lidar terrestre
Welcome to the TLS pages of the 3D-VEROS project lead by Dimitri Lague. This page is under construction, but you can (or soon will be able to...) :
All this work would only be possible with support from the following funding bodies
The 3D-VEROS project aims at using High Precision Terrestrial Laser Scanner to improve our understanding of the present-day dynamics of various geomorphological environments. This project started in 2009 when the OSUR acquired a Leica Scanstation 2. Since then we have been building databases of high resolution surveys aiming at capturing the impact of hydrological events of various magnitude. The project has three components :
Development of algorithms for automatic 3D post-processing of large point clouds (collaboration with N . Brodu). These include the classification of point clouds (e.g., vegetation removal), the comparison of point cloud in 3D for surface change measurement and the automatic analysis of 3D shapes (e.g., vegetation, boulders....). All these aspects are critical to use TLS data to their full extent.
The study of bedrock river geometry and dynamics with examples from actively eroding rivers in New-Zealand. Scientific questions adressed include the measurement of bed and bank erosion rates, the analysis and evolution of roughness elements, the impact of rockfalls and landslides on river dynamics and the impact of large floods on channel dynamics. This project has been funded by INSU/RELIEF, INSU/BLANC, and is currently funded by a Marie-Curie Fellowship to D. Lague (Project €ROSNZ).
The study of biogeomorphological couplings in macro-tidal estuaries with examples from the Mt St Michel estuary. Scientific objectives are centered around the mechanisms of construction and destruction of salt marshes. TLS data are used to monitor both the topographic changes but also the dynamics of vegetation. TLS is also completed with in situ hydrosedimentary instrumentation. This project is part of the PhD of Jérôme Leroux and is funded by INSU/EC2CO/PNEC program.
Various applications of TLS on deformation measurement of plaster plates submitted to high temperature (with INSA Rennes), digitization of a bedrock channel running experiment, analysis of coastal cliff roughness patterns (M2 project Ludovic Guyonvarch), analysis of tidal meander development (M2 project Etienne Peyras)...
The philosophy we develop around our research on algorithm and softwares is to work with the native format of TLS (and other 3D imaging devices) : 3D point clouds (no mesh, no dems). This corresponds to our special needs given that most of the settings we are studying are characterized by 3D geometries (gorge, banks, boulders,...) with complex characteristics (roughness elements at all scales, vegetation...). We also aim at extremely precise point cloud comparison in 3D which requires a robust handling of the error budget. For this we work as long as possible with the original data wiithout any kind of projection or meshing. As articles presenting the various methods we develop will be submitted, our open source softwares will be made available with a user guide. Algorithms are developped by Nicolas Brodu and Dimitri Lague, and the coding in C++ is done by Nicolas Brodu. Enjoy them !
CANUPO : Classification software based on Multiscale Dimensionality from Brodu and Lague, 2012 This classification software is very efficient to detect and remove vegetation in 3D, but is also a very good generic classifier of 3D point clouds according to their geometry (i.e. rough surfaces vs flat surfaces, etc...). Grab the latest sources and executables (for windows) at Nicolas Brodu website, and go to the Canupo page HERE to grab the user guide, test data and check the (hopefully) rapidly growing list of classifiers added by users.
M3C2 : Accurate 3D point cloud comparison : first release without tutorial. The tutorial should come soon now. You can download the current version of the software and some test data of cliff collapse used in the paper. You can also find other version (linux, windows 64) and the sources on Nicolas Brodu’s website
Some of our datasets will be freely available at some point. But this requires a specific web infrastructure that is not yet ready. For the moment, I can only offer small excerpts, mainly used in the context of point cloud classification :
Steep mountain channel example (Otira gorge, New-Zealand) 1.1 million points, 1cm minimum point spacing, single station scan with a Leica Scanstation 2. Also included a core point file (subsampled version with 10 cm point spacing). Ascii format (X,Y,Z). A very good example of a complex 3D scene
Tidal pioneer vegetation (Mt St Michel Bay, France) 1.1 million points, 1cm minimum point spacing, single station scan with a Leica Scanstation 2. Ascii format (X,Y,Z,R,G,B). Relatively simple scene, but with abrupt changes in scan resolution and significant shadow behind bushes.
Cloudcompare : THE open source point cloud processing software for visualization, point cloud comparison, point cloud segmentation etc... An outstanding software (and it’s not because it’s french....) continuously updated by its creator Daniel Girardaut-Monteau. I use it everyday !
Opentopography : a website with free US lidar data (mostly airborne) and useful softwares.
Point Clouds Library : a rapidly expanding open source library dedicated to process 3D point clouds.
LaserScanning.org.uk : interesting and dynamic forum on hardwares and softwares suites. Interesting if you are in the phase of buying a TLS equipment.
Mike James software to easily georef SFM data : if you don’t know what is SFM (Strccture from Mtion), follow the links in his website !
Autodesk 123D : because SFM it’s just great, and this app let’s you easily test what is SFM and why you should consider SFM in your panel of options before to buy/rent a TLS.
We use a Leica Scanstation 2 own by the Observatoire des Sciences de L’Univers de Rennes. We also use in the experimental lab a GOM Atos system, as well as a projection moiré system.
articles (pdf available on request)