Description
This three-part introductory training covers a number of topics relating to landslides, demonstrating a wide variety of NASA Earth science data uses to characterize landslides and their impacts. The training provides the scientific background of landslides to answer important questions such as: What is a landslide? Where do they occur? What causes them, and why?
Participants learn how satellite-based Earth observations can inform landslide science and disaster planning with a focus on key observations and model data, including optical and synthetic aperture radar (SAR) based analysis. The training includes information on how NASA data and models can be used to automate landslide detection to rapidly map where landslides have occurred post-disaster using the NASA SALaD model (Semi-Automatic Landslide Detection). The training also covers how satellite-based Earth observations can better predict the location and timing of landslides using the global LHASA model (Landslide Hazard Assessment model for Situational Awareness). These open source tools can help communities prepare for and respond to landslides all over the world.