LITMUS: Landslide Detection by Integrating Multiple Sources

A new paper has been added to the Publications page: “LITMUS: Landslide Detection by Integrating Multiple Sources” by our team of Aibek Musaev, De Wang and Calton Pu. We will be presenting it at the ISCRAM conference later this year. In this paper, we evaluate a landslide detection system LITMUS, which combines multiple physical sensors and social media to handle the inherent varied origins and composition of multi-hazards. LITMUS integrates near real-time data from USGS seismic network, NASA TRMM rainfall network, Twitter, YouTube, and Instagram. The landslide detection process consists of several stages of social media filtering and integration with physical sensor data, with a final ranking of relevance by integrated signal strength.