Because terrain, characteristics of the rocks and soil, weather and climate all contribute to landslide activity, accurately identifying the areas most at risk at any given time can be an uphill battle. Early warning systems are generally regional – based on region-specific data provided by ground-based sensors, field observations, and rainfall totals. But what if we could identify at-risk areas anywhere in the world at any time using the combined power of space-based observations and models? The NASA global Landslide Hazard Assessment for Situational Awareness (LHASA) model, developed by a team of scientists led by Universities Space Research Association's Thomas Stanley, addresses this issue. The findings were published in Frontiers in Earth Science.