The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tétouan, Northern Morocco
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MDPI
Materia
Rockfall simulation Rif DEM resolution UAV Back analysis
Date
2022-12-07Referencia bibliográfica
Bounab, A.; El Kharim, Y.; El Hamdouni, R. The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tétouan, Northern Morocco. Remote Sens. 2022, 14, 6205. [https://doi.org/10.3390/rs14246205]
Sponsorship
Centre National de Recherche Scientifique et Technique of Morocco PPR2/205/65 projectAbstract
Rockfall simulations constitute the first step toward hazard assessments and can guide
future rockfall prevention efforts. In this work, we assess the impact of digital elevation model (DEM)
resolution on the accuracy of numerical rockfall simulation outputs. For this purpose, we compared
the simulation output obtained using 1 m, 2 m and 3 m resolution UAV-derived DEMs, to two other
models based on coarser topographic data (a 5 m resolution DEM obtained through interpolating
elevation contours and the Shuttle Radar Topographic Mission 30m DEM). To generate the validation
data, we conducted field surveys in order to map the real trajectories of three boulders that were
detached during a rockfall event that occurred on 1 December 2018. Our findings suggest that the
use of low to medium-resolution DEMs translated into large errors in the shape of the simulated
trajectories as well as the computed runout distances, which appeared to be exaggerated by such
models. The geometry of the runout area and the targets of the potential rockfall events also appeared
to be different from those mapped on the field. This hindered the efficiency of any prevention or
correction measures. On the other hand, the 1m UAV-derived model produced more accurate results
relative to the field data. Therefore, it is accurate enough for rockfall simulations and hazard research
applications. Although such remote sensing techniques may require additional expenses, our results
suggest that the enhanced accuracy of the models is worth the investment.