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Showing 1 to 3 of 3 for “"Landslide Detection"”.
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An Evaluation of DEM Generation Methods Using a Pixel-Based Landslide Detection Algorithm
The creation of landslide inventories is an important step in landslide susceptibility mapping, and automated algorithms for landslide detection will increasingly be relied upon as part of the mapping process. This study compares the effects of three different DTM generation methods on a …
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Interpretable Machine Learning Methods for Landslide Analysis
Landslides have the power to alter terrain, reshape ecosystems, damage anthropogenic structures, and destroy entire communities. On March 31, 2017, Mocoa fell victim to a devastating landslide that claimed 254 lives and left hundreds more missing. Given the region’s high frequency of landslides, …
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Landslide Susceptibility Prediction Adaptive to Triggering Events
Landslide detection and susceptibility prediction are valuable tools for disaster prevention. Despite there being many various solutions to accomplish these tasks, they all generally depend on topographic features of the environment. However, there are not many solutions that can adapt to …