Deep learning based landslide density estimation on SAR data for rapid response

no code implementations • 18 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

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.

Density Estimation

SAR-based landslide classification pretraining leads to better segmentation

1 code implementation • 17 Nov 2022 • Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual landslides.

Classification Landslide segmentation

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes

1 code implementation • 5 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

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.