Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Computer Graphics Forum Year : 2016

Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion

Abstract

At large scale, landscapes result from the combination of two major processes: tectonics which generate the main relief through crust uplift, and weather which accounts for erosion. This paper presents the first method in computer graphics that combines uplift and hydraulic erosion to generate visually plausible terrains. Given a user-painted uplift map, we generate a stream graph over the entire domain embedding elevation information and stream flow. Our approach relies on the stream power equation introduced in geology for hydraulic erosion. By combining crust uplift and stream power erosion we generate large realistic terrains at a low computational cost. Finally, we convert this graph into a digital elevation model by blending landform feature kernels whose parameters are derived from the information in the graph. Our method gives high-level control over the large scale dendritic structures of the resulting river networks, watersheds, and mountains ridges.
Fichier principal
Vignette du fichier
2016_cordonnier.pdf (10.27 Mo) Télécharger le fichier
Vignette du fichier
2016_cordonnier_teaser.png (139.11 Ko) Télécharger le fichier
Vignette du fichier
vignette.png (277.41 Ko) Télécharger le fichier
01 - erosion.mp4 (61.99 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Format Figure, Image
Origin Files produced by the author(s)
Format Figure, Image
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01262376 , version 1 (03-05-2017)

Identifiers

Cite

Guillaume Cordonnier, Jean Braun, Marie-Paule Cani, Bedrich Benes, Eric Galin, et al.. Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion. Computer Graphics Forum, 2016, Proc. EUROGRAPHICS 2016, 35 (2), pp.165-175. ⟨10.1111/cgf.12820⟩. ⟨hal-01262376⟩
3235 View
12291 Download

Altmetric

Share

More