There are a number of available sample datasets that can be readily used to test Whitebox Workflows for Python.
Details
Available datasets:
Dataset Name | Description | Size |
Guelph_landsat | Landsat 5 sub-area (7 bands) | 10.9 MB |
Grand_Junction | Small DEM in high-relief terrain | 5.8 MB |
GTA_lidar | Airborne lidar point cloud (LAZ) | 54.3 MB |
jay_brook | Airborne lidar point cloud (LAZ) | 76.3 MB |
Jay_State_Forest | Lidar-derived DEM | 27.7 MB |
Kitchener_lidar | Airborne lidar point cloud (LAZ) | 41.6 MB |
London_air_photo | High-resolution RGB air photo | 87.3 MB |
mill_brook | Airborne lidar point cloud (LAZ) | 49.9 MB |
peterborough_drumlins | Lidar-derived DEM | 22.0 MB |
Southern_Ontario_roads | Vector roads layer | 7.1 MB |
StElisAk | Airborne lidar point cloud (LAZ) | 54.5 MB |
Examples
if (FALSE) { # \dontrun{
# Download sample data
wbw_download_sample_data(data_set = "Guelph_landsat", path = tempdir())
} # }