geodata.Mask

class geodata.Mask(name: str, layer_path: str | list | dict | None = None, layer_name: str | list | None = None, mask_dir: str = MASK_DIR, **kwargs)

A class to create, manipulate, and load geodata mask object that takes GeoTIFF or shp files as input.

Creating a new mask object. Layer_path will take the file name(s) without extension as the default layer name. If layer name(s) is/are specified, it will take the corresponding layer_name(s) as the name for new layer(s). Layer path can also be a dictionary of {layer_name: layer_path(str)} key-value pairs.

Parameters:

• name (str) – Name for the new mask object.

• layer_path (str or dict) – Path(s) of new layers to beadded to the mask object. It can be None. In that case, nothing will be added.

• layer_name (str or list) – Names for the incoming layers. If layer_path is a dictionary, layer_name will be ignored.

• mask_dir (str) – The path to where the mask object would be saved/stored. By default, it should be the MASK_PATH constant in config.py.

• **kwargs – Additional arguments passed to the add_layer method, only used if layers need to be added.

MergingMethods

name

layers: dict[str, rasterio.DatasetReader]

merged_mask = None

shape_mask

saved = False

mask_dir

Methods

add_layer(layer_path[, layer_name, replace, trim, ...])	Add a layer to the mask from given path(s) by calling the _add_layer() method.
remove_layer(name)	Remove a layer in the mask given layer name.
rename_layer(layer_name, new_name)	Rename a layer in the mask given name.
get_res(→ dict[str, tuple[float, float]])	Get resolutions of layers.
get_bounds(→ dict[str, tuple[float, float, float, float]])	Get boundary information of layers
find_inner_bound(→ tuple[float, float, float, float])	Find the bounding box that's within specified layers.
crop_layer(layer_name, bounds[, lat_lon_bounds, ...])	Crop a layer of mask object using crop_raster method.
trim_layer(layer_name[, dest_layer_name])	Trim a layer of mask object using trim_raster method.
filter_layer(layer_name[, dest_layer_name, values, ...])	Filter a layer of mask object using filter_raster method.
merge_layer(→ rasterio.DatasetReader)	Merge multiple and flatten multiple layers from self.layers using either 'and'
remove_merge_layer()	Remove the saved merged mask.
add_shape_layer(shapes[, reference_layer, resolution, ...])	Add shapes to the mask layers. This is different from shape extractions,
extract_shapes(→ dict[str, rasterio.DatasetReader])	Extract the shapes on the (by default) merged_mask layer, and save the result
remove_shapes(names)	Remove a shape from shape_mask dictionary
load_merged_xr(→ xarray.DataArray)	Using xarray to load the merged_layer masks.
load_shape_xr(→ dict[str, xarray.DataArray])	Using xarray to load the shape masks.
close_files()	Close all the opened rasters. This method will disable further save_mask() call.
save_mask([name, mask_dir, close_files])	Save a mask object to the directory. By default, the directory should be the
from_name(name[, mask_dir])	Load a previously saved mask object by name.