paint.preprocessing.tower_measurements

Functions

extract_coordinate_tuples(→ list[tuple])	Extract the tuples of coordinates (latitude, longitude, elevation) from a nested dictionary.
find_min_max_coordinate(→ dict[str, numpy.ndarray])	Extract the min and max values of coordinates (latitude, longitude, elevation) from a nested dictionary.
get_tower_measurements(→ tuple[dict[str, ...)	Generate the tower measurement data.

Module Contents

paint.preprocessing.tower_measurements.extract_coordinate_tuples(coordinate_tuples_dict: dict[Any, Any]) → list[tuple]

Extract the tuples of coordinates (latitude, longitude, elevation) from a nested dictionary.

Parameters

coordinate_tuples_dictdict[Any, Any]

A nested dictionary containing coordinate tuples as keys.

Returns

list[tuple]

The list of extracted coordinate tuples.

paint.preprocessing.tower_measurements.find_min_max_coordinate(coordinate_dictionary: dict[Any, Any]) → dict[str, numpy.ndarray]

Extract the min and max values of coordinates (latitude, longitude, elevation) from a nested dictionary.

Parameters

coordinate_dictionarydict[Any, Any]

A nested dictionary containing coordinate tuples.

Returns

dict[str, np.ndarray]

A dictionary containing min and max coordinates for latitude, longitude, and elevation.

paint.preprocessing.tower_measurements.get_tower_measurements() → tuple[dict[str, numpy.ndarray], dict[Any, Any]]

Generate the tower measurement data.

This data takes the measured Gauss-Kruger coordinates for each considered calibration target and receiver, converts them to latitude and longitude coordinates, considers the elevation and returns these values in a dictionary. Additionally, the min and max values for each of the dimensions in the coordinates are saved for the STAC item creation.

Returns

dict[str, np.ndarray]

The saved max and min values for each dimension in the coordinates.

dict[Any, Any]

The measurement dictionary.