CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human Time

Coastal evolution analysis and inundation modeling with GRASS GIS

Caitlin Haedrich

NC State University, Center for Geospatial Analytics, United States
Pratikshya Regmi NC State Center for Geospatial Analytics United States
Helena Mitasova NC State University, Center for Geospatial Analytics United States
Anna Petrasova NC State University, Center for Geospatial Analytics United States
Vaclav Petras NC State University, Center for Geospatial Analytics United States

This clinic will introduce participants to GRASS GIS tools with a focus on applications for coastal hazards analysis including flooding and coastal evolution. We will explain and practice GRASS GIS data management and concepts, and demonstrate them on examples of efficient LiDAR point cloud, raster, and vector data processing.

The clinic will begin with a brief introduction to the GRASS GIS software and continue with a hands-on tutorial exploring coastal evolution through a LiDAR timeseries of Bald Head Island in North Carolina, USA. Finally, we will explore some of the inundation and flood modeling tools available in GRASS GIS. The tutorial will be formatted in a series of Jupyter Notebooks executed in a cloud-based (or locally installed) JupyterLab environment, taking advantage of the latest GRASS GIS Python features for Jupyter, including 2D, 3D, webmap, and temporal visualizations.

By the end of the clinic, participants will have hands-on experience with:

  • Setting up GRASS GIS Projects and importing data
  • Creating high-quality DEMs from LiDAR point clouds and computing topographic parameters
  • Deriving shorelines from the DEMs
  • Animating changes in topography over time and computing erosion rates
  • Generating simplified storm surge inundation timeseries

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Of interest for:
  • Coastal Working Group
  • Hydrology Focus Research Group
  • Coastal Vulnerability Initiative
  • Modeling Platform Interoperability Initiative