| Landslide inventories are critical to assessing landslide hazards and to understanding processes that drive long-term landscape evolution. Here we use LiDAR to create a landslide inventory of all of Yellowstone National Park and InSAR time series analysis to assess the activity state of those landslides. We manually mapped and classified ~1800 deposits in LiDAR and measured ~200 of them actively creeping between May 2017 and October 2021. We determined that most landslides occur as flow-type movements and bedrock lithology likely influences landslide distribution throughout the park. Creeping movement (on cm/year scales) occurs on many of the largest landslide deposits and creep rates vary over time. We identified continuous, event-based, and seasonal displacement patterns that likely reflect different failure mechanisms and forcing processes. This project lays a robust foundation for landslide hazard assessment and landscape evolution investigations in Yellowstone. |