MATLAB Virtual Toolbox for Retrospective Rockfall Source Detection and Volume Estimation Using 3D Point Clouds: A Case Study of a Subalpine Molasse Cliff
| Autor: | Neal Gauvin, Dario Carrea, Michel Jaboyedoff, Antonio Abellán, Marc-Henri Derron |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
0211 other engineering and technologies Point cloud 02 engineering and technology 01 natural sciences Software Rockfall rockfalls Natural hazard toolbox Cliff Extraction (military) MATLAB 021101 geological & geomatics engineering 0105 earth and related environmental sciences computer.programming_language Remote sensing volume geography geography.geographical_feature_category business.industry lcsh:QE1-996.5 free code Volume (computing) quantification 3D point cloud lcsh:Geology identification General Earth and Planetary Sciences business computer Geology |
| Zdroj: | Geosciences Volume 11 Issue 2 Geosciences, Vol 11, Iss 75, p 75 (2021) |
| ISSN: | 2076-3263 |
| DOI: | 10.3390/geosciences11020075 |
| Popis: | The use of 3D point clouds to improve the understanding of natural phenomena is currently applied in natural hazard investigations, including the quantification of rockfall activity. However, 3D point cloud treatment is typically accomplished using nondedicated (and not optimal) software. To fill this gap, we present an open-source, specific rockfall package in an object-oriented toolbox developed in the MATLAB® environment. The proposed package offers a complete and semiautomatic 3D solution that spans from extraction to identification and volume estimations of rockfall sources using state-of-the-art methods and newly implemented algorithms. To illustrate the capabilities of this package, we acquired a series of high-quality point clouds in a pilot study area referred to as the La Cornalle cliff (West Switzerland), obtained robust volume estimations at different volumetric scales, and derived rockfall magnitude–frequency distributions, which assisted in the assessment of rockfall activity and long-term erosion rates. An outcome of the case study shows the influence of the volume computation on the magnitude–frequency distribution and ensuing erosion process interpretation. |
| Databáze: | OpenAIRE |
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