Landslides occur all around the world and cause thousands of deaths and billions of dollars in infrastructural damage worldwide every year. Satellite-based landslide detection introduces data latency ranging from several hours to days. We use social sensing imagery data from Twitter to identify landslide reports in real-time. Together with our stakeholders (BGS and EMSC), we have developed image processing models to detect landslide reports. The current focus of this project is to develop a landslide event detection method out of positive reports detected by the system. Furthermore, we are implementing a dashboard based on end-users requirements. We have plans to broaden our reach out to other concerned authorities in different countries.