Research >>Impact of Spatial Resolution on Landslide Predictions: The Tradeoff between Accuracy and Computational Demands
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Impact of Spatial Resolution on Landslide Predictions: The Tradeoff between Accuracy and Computational Demands
Brief Description:
Digital Elevation Model (DEM) resolution can play a critical role in landslide simulations. High-resolution DEMs capture detailed terrain features and improve model accuracy but also increase computational costs.
Applying the CRISIS model on a watershed in Utuado, Puerto Rico after Hurricane Maria, we held all inputs constant while varying DEM resolution in both the hydrological and slope stability components.
Results showed that reducing the DEM resolution from 1 m to 3 m and 10 m in the hydrological model had minimal impact on predicted landslides. In contrast, lower-resolution DEMs in the slope stability analysis significantly altered results.
Key Takeaway:
By resampling the DEM for hydrological modeling—while preserving high resolution for slope stability—we achieved substantial computational savings without sacrificing landslie prediction accuracy. This tradeoff is key for scaling up to regional applications efficiently.
Tradeoff between study area size and model input resolution. Our research advances the analysis of regional-scale areas while preserving high-resolution inputs and incorporating advanced model features.
CRISIS-predicted landslide area density over time for varying DEM resolutions used in the slope stability and hydrological model (ParFlow in this case) components.
Spatial distribution of predicted landslides over time for the (a) base scenario, with a DEM resolution of 1 m applied to both the hydrological and the slope stability analyses, (b) scenario with a resampled DEM resolution of 3 m applied to the hydrological model and the original 1 m DEM resolution for the slope stability analysis, and (c) scenario with a resampled DEM resolution of 3 m applied to both the hydrological model and the slope stability analyses.
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