SWOT WSE and DEM Comparison

This dataset contains data and scripts used to evaluate the agreement between SWOT Water Surface Elevation (WSE) node measurements and a Digital Elevation Model (DEM) from the Government of British Columbia. The comparison is performed through scatter plot visualization and statistical analysis (R², RMSE, MAE, bias) for multiple acquisition dates.

Data contents:

• ‘DEM_WSE validation’ Comparison Table (.xlsx):
  A spreadsheet containing side-by-side elevation values from SWOT WSE nodes and corresponding DEM elevations for each acquisition date.
• LiDAR derived DEM Tile within Study Area (.tif)
  GeoTIFF tile representing LiDAR derived DEM data used for validation.
• Raw SWOT nodes (.nc) and nodes after quality flags filtering and clipping to the study area (.shp).

Data sources and products

• SWOT WSE Node Data – Product: SWOT L2_HR_RiverSP_Node, accessed via NASA Earthdata Search
• DEM – Government of British Columbia, accessed via LiDAR Download Portal

Variables

• WSE (Water Surface Elevation) [m]
• Elevation (DEM) [m]

Time range

• SWOT acquisition dates: 2024-05-21, 2024-07-12, 2024-08-02, 2024-08-13, 2024-09-08
• DEM acquisition date: 2024-05-20

Spatial coverage

• Study area: Chilcotin River, British Columbia, Canada
• Approximate bounding box: [51.87084,-122.82549; 51.87078,-122.72822; 51.83110,-122.72724; 51.83110,-122.82544]

Script files included:

• Python Jupyter Notebook (scatter_plot_analysis.ipynb) that produces scatter plots and calculates statistical performance indicators (R², RMSE, MAE, bias) for each acquisition date, enabling direct comparison between SWOT WSE node measurements and DEM elevations.
  ↳ Documented in: README.md