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