Presenters-0635: Difference between revisions
From CSDMS
Created page with "{{Presenters temp |CSDMS meeting event title=CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human Time |CSDMS meeting event year=2024 |CSDMS meeting presentation type=Clinic |CSDMS meeting first name=Caitlin |CSDMS meeting last name=Haedrich |CSDMS meeting institute=NC State University, Center for Geospatial Analytics |Country member=United States |CSDMS meeting state=North Carolina |CSDMS meeting email address..." |
m Text replacement - "\|CSDMS meeting youtube views=\{\{(Youtube_[^}]+)\}\}" to "|CSDMS meeting youtube views={{#explode:{{$1}}| |0}} |CSDMS meeting youtube AverageViews={{#explode:{{$1}}| |1}}" |
||
| (8 intermediate revisions by 3 users not shown) | |||
| Line 12: | Line 12: | ||
}} | }} | ||
{{Presenters coauthors | {{Presenters coauthors | ||
|CSDMS meeting first name co1= | |CSDMS meeting first name co1=Pratikshya | ||
|CSDMS meeting last name co1= | |CSDMS meeting last name co1=Regmi | ||
|CSDMS meeting institute co1=NC State | |CSDMS meeting institute co1=NC State Center for Geospatial Analytics | ||
|CSDMS meeting country co1=United States | |CSDMS meeting country co1=United States | ||
|CSDMS meeting state co1=North Carolina | |CSDMS meeting state co1=North Carolina | ||
|CSDMS meeting email address co1= | |CSDMS meeting email address co1=pregmi3@ncsu.ed | ||
}} | }} | ||
{{Presenters coauthors | {{Presenters coauthors | ||
| Line 26: | Line 26: | ||
|CSDMS meeting state co1=North Carolina | |CSDMS meeting state co1=North Carolina | ||
|CSDMS meeting email address co1=hmitaso@ncsu.edu | |CSDMS meeting email address co1=hmitaso@ncsu.edu | ||
}} | |||
{{Presenters coauthors | |||
|CSDMS meeting first name co1=Anna | |||
|CSDMS meeting last name co1=Petrasova | |||
|CSDMS meeting institute co1=NC State University, Center for Geospatial Analytics | |||
|CSDMS meeting country co1=United States | |||
|CSDMS meeting state co1=North Carolina | |||
|CSDMS meeting email address co1=akratoc@ncsu.edu | |||
}} | }} | ||
{{Presenters coauthors | {{Presenters coauthors | ||
| Line 38: | Line 46: | ||
|CSDMS meeting abstract presentation=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. | |CSDMS meeting abstract presentation=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: | 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: | |||
<ul> | |||
<li>Setting up GRASS GIS Projects and importing data</li> | |||
<li>Creating high-quality DEMs from LiDAR point clouds and computing topographic parameters</li> | |||
<li>Deriving shorelines from the DEMs</li> | |||
<li>Animating changes in topography over time and computing erosion rates</li> | |||
<li>Generating simplified storm surge inundation timeseries</li> | |||
</ul> | |||
|CSDMS meeting youtube code=0 | |CSDMS meeting youtube code=0 | ||
|CSDMS meeting participants= | |CSDMS meeting youtube views={{#explode:{{Youtube_0}}| |0}} | ||
|CSDMS meeting youtube AverageViews={{#explode:{{Youtube_0}}| |1}} | |||
|CSDMS meeting participants=20 | |||
}} | }} | ||
{{Presenters keywords temp | {{Presenters keywords temp | ||
| Line 60: | Line 74: | ||
}} | }} | ||
{{Presenters additional material | {{Presenters additional material | ||
|Working group member= | |Working group member=Coastal Working Group, Hydrology Focus Research Group, Coastal Vulnerability Initiative, Modeling Platform Interoperability Initiative | ||
}} | }} | ||
Latest revision as of 16:34, 11 June 2025
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
Abstract
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
Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.
Of interest for:
