hydromt.GridModel.setup_grid_from_rasterdataset

GridModel.setup_grid_from_rasterdataset(raster_fn: str | Path | DataArray | Dataset, variables: List | None = None, fill_method: str | None = None, reproject_method: List | str | None = 'nearest', mask_name: str | None = 'mask', rename: Dict | None = None) → List[str]

HYDROMT CORE METHOD: Add data variable(s) from raster_fn to grid object.

If raster is a dataset, all variables will be added unless variables list is specified.

Adds model layers:

• raster.name grid: data from raster_fn

Parameters:

• raster_fn (str, Path, xr.DataArray, xr.Dataset) – Data catalog key, path to raster file or raster xarray data object. If a path to a raster file is provided it will be added to the data_catalog with its name based on the file basename without extension.

• variables (list, optional) – List of variables to add to grid from raster_fn. By default all.

• fill_method (str, optional) – If specified, fills nodata values using fill_nodata method. Available methods are {‘linear’, ‘nearest’, ‘cubic’, ‘rio_idw’}.

• reproject_method (list, str, optional) – See rasterio.warp.reproject for existing methods, by default ‘nearest’. Can provide a list corresponding to variables.

• mask_name (str, optional) – Name of mask in self.grid to use for masking raster_fn. By default ‘mask’. Use None to disable masking.

• rename (dict, optional) – Dictionary to rename variable names in raster_fn before adding to grid {‘name_in_raster_fn’: ‘name_in_grid’}. By default empty.

Returns:

Names of added model map layers

Return type:

list