D
Dimitri Lague
Researcher at University of Rennes
Publications - 80
Citations - 5640
Dimitri Lague is an academic researcher from University of Rennes. The author has contributed to research in topics: Erosion & Point cloud. The author has an hindex of 26, co-authored 69 publications receiving 4684 citations. Previous affiliations of Dimitri Lague include University of Rennes 1 & Centre national de la recherche scientifique.
Papers
More filters
Journal ArticleDOI
Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)
TL;DR: In this article, a 3D point cloud comparison method is proposed to measure surface changes via 3D surface estimation and orientation in 3D at a scale consistent with the local surface roughness.
Journal ArticleDOI
Links between erosion, runoff variability and seismicity in the Taiwan orogen
Simon Dadson,Niels Hovius,Hongey Chen,W. Brian Dade,Meng-Long Hsieh,Sean D. Willett,Jyr-Ching Hu,Ming-Jame Horng,Meng-Chiang Chen,Colin P. Stark,Dimitri Lague,Jiun-Chuan Lin +11 more
TL;DR: Erosion rates in the Taiwan mountains are estimated from modern river sediment loads, Holocene river incision and thermochronometry on a million-year scale and the pattern of erosion has changed over time in response to the migration of localized tectonic deformation.
Journal ArticleDOI
3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology
Nicolas Brodu,Dimitri Lague +1 more
TL;DR: A multi-scale measure of the point cloud dimensionality around each point, which characterizes the local 3D organization is defined and its efficiency in separating riparian vegetation from ground and classifying a mountain stream as vegetation, rock, gravel or water surface is illustrated.
Posted Content
3D Terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology
Nicolas Brodu,Dimitri Lague +1 more
TL;DR: In this article, a multi-scale measure of the point cloud dimensionality around each point is defined, which characterizes the local 3D organization, and a probabilistic confidence is given at each point, allowing the user to remove the points for which the classification is uncertain.
Journal ArticleDOI
The stream power river incision model: evidence, theory and beyond
TL;DR: All published incising river datasets away from knickpoints or knickzones are in a regime dominated by threshold effects requiring an explicit upscaling of flood stochasticity neglected in the standard SPIM and other incision models, shown here to have a narrow range of validity.