An assessment of the effects of DEM quality and spatial resolution on a model for mapping lahar inundation areas at volcán Copahue (Argentina &amp; Chile)

Viotto, Sofia; Toyos, Guillermo; Bookhagen, Bodo

doi:10.1016/j.jsames.2022.104138

Cited by 1 publication

(3 citation statements)

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“…Therefore, selecting the appropriate resolution of DEM is crucial to ensuring accurate predictions and reliable analyses of geographical phenomena. In general, increasing the resolution of a DEM leads to more precise values for relief and slope angles of historical rockfalls, as well as the potential rockfall source areas [37,39,40]. However, acquiring a high-quality DEM at a regional scale poses a significant financial expense currently.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…The identification results for rockfall sources using the 1 m and 2 m DEM resolutions were the best (Figure 12b,c), followed by the results from DEMs with resolutions of 5 m and 12.5 m (Figure 12d,e). However, only a small number of source areas could be identified using the 30 m resolution DEM (Figure 12f) [39]. Additionally, the size of the NA used to search for the current slope surface relief is also a crucial factor that affects the accuracy of the prediction results [23,40].…”

Section: Discussionmentioning

confidence: 99%

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Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau

et al. 2023

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Potential rockfall source areas are widely distributed in the high mountain areas of the Tibetan Plateau, posing significant hazards to human lives, infrastructures, and lifeline facilities. In a combination of field investigation, high-precision aerial photogrammetry, and numerical simulation, we took the Maoyaba basin as an example to explore a rapid identification method for high-altitude rockfall sources. An automatic potential rockfall source identification (PRSI) procedure was introduced to simplify the process of rockfall source identification. The study revealed that rockfall sources are concentrated in areas with intense frost weathering. Our identification results were validated using rockfall inventory data detection from remote sensing images and field investigation. Of the rockfall source areas identified by the PRSI procedure, 80.85% overlapped with the remote sensing images result. The accuracy assessment using precision, recall, and F1 score was 0.91, 0.81, and 0.85, respectively, which validates the reliability and effectiveness of the PRSI procedure. Meanwhile, we compared the rockfall source distribution of five DEMs with different resolutions and four neighborhood areas. We discovered that, in addition to high-resolution DEMs (i.e., 1 m and 2 m), medium-resolution DEMs (i.e., 5 m, 12.5 m) also perform well in identifying rockfall sources. Finally, we conducted a hazard assessment based on Culmann’s two-dimensional slope stability model and rockfall hazard vector method. Appropriate protective measures should be taken at high-hazard sections to safeguard pedestrians, vehicles, and related infrastructure from rockfalls.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%