LIDAR-derived imagery was used to map landforms in Seattle, Washington, created primarily by landsliding, including landslide complexes, headscarps, and denuded slopes. The mapping correlates with over 93 percent of approximately 1,300 reported historical landslides, providing spatial density estimates for relative susceptibility. The dataset, summarized by the USGS, offers a tool for landslide hazard reduction in the area.
Use Cases
- Estimate future landslide susceptibility by analyzing spatial densities of historical landslides within LIDAR-mapped landform boundaries.
- Validate LIDAR-based landform mapping by correlating mapped boundaries with the locations of over 1,300 reported historical landslides.
- Identify high-risk zones for urban planning by classifying landforms such as landslide complexes, headscarps, and denuded slopes.
Strengths
- Correlates with over 93% of approximately 1,300 reported historical landslide records.
- Provides spatial density estimates for relative landslide susceptibility across mapped landforms.
Limitations
- Sample size of historical landslide records is limited to about 1,300 events.
- Geographic scope is restricted to the Seattle, Washington area, limiting generalizability.
- Temporal coverage for the historical landslide records is not specified.
Provenance
- Source
- CEOS_EXTRA, with summary provided by the USGS.
- Collection Method
- Landform mapping using Light Detection and Ranging (LIDAR) imagery and correlation with historical landslide records.
- Geography
- Seattle, Washington, USA.