Projects Portfolio

Coseismic Landslide Probability Modeling

For my master’s capstone project, I estimated coseismic landslide probability for an M9 Cascadia Subduction Zone Earthquake in the Lower Bogachiel River Valley near Forks, WA. I calculated coseismic landslide probability based on 30 earthquake scenarios and a USGS empirical model.

Skill Highlights:

• Wrote Python scripts for calculating coseismic landslide probability (Figure 1)
• Analyzed overlap between coseismic landslide probability models in QGIS (Figure 2)
• Created a GitHub repository to preserve Python code and input datasets for reproducing project work

Figure 1: Plots of input datasets and one coseismic landslide probability model.

Figure 2: Maps showing the overlap between 30 coseismic landslide probability models for a 50% probability threshold.

Field Research at Undi Rd near Forks, WA

While attending graduate school in the Master’s in Applied Geosciences program at the University of Washington, I collected field observations with members of my cohort at Undi Rd near Forks, WA. I also had the opportunity to assist with GIS-related needs for course projects and additional research in the Lower Bogachiel River Valley.

Skill Highlights:

• Created timelapse series of the Bogachiel River and active Undi Rd landslide with the Google Earth Engine Python API (Figure 3 & Figure 4)
• Designed digital field maps with ArcGIS for data collection in Avenza Maps (Figure 5)
• Assisted cohort members and advisors in other applied geoscience projects

Figure 3: Timelapse series for Landsat imagery using a shortwave infrared band combination.

Figure 4: Timelapse series for Sentinel-2 imagery using a shortwave infrared band combination.

Figure 5: Digital field map of the Undi Rd study area with NAIP imagery overlaid by a low transparency LiDAR shaded relief layer.

Seismic Station Mapping

At the Pacific Northwest Seismic Network, I worked on GIS projects to update and present seismic station maps. The GIS projects motivated me to learn effective practices for data management and geoprocessing automation.

Skill Highlights:

• Developed methods for updating geodatabases and station maps with ArcGIS and Python
• Designed ArcMap templates to produce physical and digital maps with complex symbology (Figure 6)
• Worked with field engineers and research seismologists to create report maps (Figure 7)

Figure 6: Seismic station map created for a report on Eastern Washington.

Figure 7: Map designed for a presentation on the 1980 Mount St. Helens eruption with historic seismic stations.

Surveying at Discovery Park in Seattle, WA

Throughout my collegiate career, I pursued surveying and remote sensing coursework to learn methods for creating geospatial data. Most of my courses included fieldwork at Discovery Park in Seattle, WA, to provide hands-on surveying experience and examine geologic hazards.

Skill Highlights:

• Collected and processed terrestrial LiDAR data of the Magnolia Bluff at Discovery Park with Riegl RiSCAN Pro (Figure 8)
• Conducted an sUAS survey of Discovery Park and produced a structure from motion model with Pix4D (Figure 9)
• Visualized and analyzed point cloud datasets in CloudCompare (Figure 10)

Figure 8: Picture of the Magnolia Bluff and a Riegl VZ-4000 taken April 2019.

Figure 9: Image of a structure from motion model in Pix4Dmapper for an sUAS survey conducted during Autumn 2021.

Figure 10: Image of a LiDAR point cloud in CloudCompare of the Magnolia Bluff.