New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains

NASA scientists have developed a model to predict landslides globally using real-time data. The Landslide Hazard Assessment for Situational Awareness model estimates landslide risks every 30 minutes by analyzing rainfall and susceptibility factors like steep slopes and deforestation. Historical data reveals patterns, such as peak landslide activity in Peru and Taiwan. The model also identifies unreported landslide-prone regions, aiding in disaster response and mitigation efforts.

What time of year does potential landslide activity peak in Peru and Taiwan?

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How will scientists use the NASA model in combination with landslide reports?

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