hydromt.flw.d8_from_dem#
- hydromt.flw.d8_from_dem(da_elv: DataArray, gdf_stream: GeoDataFrame | None = None, max_depth: float = -1.0, outlets: str = 'edge', idxs_pit: ndarray | None = None, **kwargs) DataArray [source]#
Derive D8 flow directions grid from an elevation grid.
Outlets occur at the edge of valid data or at user defined cells (if idxs_pit is provided). A local depressions is filled based on its lowest pour point level if the pour point depth is smaller than the maximum pour point depth max_depth, otherwise the lowest elevation in the depression becomes a pit.
- Parameters:
da_elv (
2D xarray.DataArray
) – elevation rastergdf_stream (
geopandas.GeoDataArray
, optional) – stream vector layer with ‘uparea’ [km2] column which is used to burn the river in the elevation data.max_depth (
float
, optional) – Maximum pour point depth. Depressions with a larger pour point depth are set as pit. A negative value (default) equals an infinitely large pour point depth causing all depressions to be filled.outlets (
{'edge', 'min'}
) – Position for basin outlet(s) at the all valid elevation edge cell (‘edge’) or only the minimum elevation edge cell (‘min’)idxs_pit (
1D array
ofint
) – Linear indices of outlet cells.**kwargs – Additional keyword arguments that are passed to the fill_depressions function.
- Returns:
da_flw – D8 flow direction grid
- Return type:
See also
pyflwdir.dem.fill_depressions