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Found 4 papers, 3 papers with code
Deep learning based landslide density estimation on SAR data for rapid response
Since such data might not be available during other events or regions, we aimed to produce a landslide density map using only elevation and SAR data to be useful to decision-makers in rapid response scenarios.
SAR-based landslide classification pretraining leads to better segmentation
In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual landslides.
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses.
DeepBedMap: Using a deep neural network to better resolve the bed topography of Antarctica
To better resolve the bed elevation of Antarctica, we present DeepBedMap – a novel machine learning method that produces realistic Antarctic bed topography from multiple remote sensing data inputs.
