austriadownloader 0.0.1

This is a template repository for Python projects that use Poetry for their dependency management.

austriadownloader

• Github repository: https://github.com/Zerhigh/austriadownloader/
• Documentation https://Zerhigh.github.io/austriadownloader/

Getting started with your project

Clone this repository to start developing. All required datasets are available in austriadownloader/austria_data/ and can be created by executing austriadownloader/austria_data/metadata_creation.py.

To access and download Austrian Orthophoto and matching cadastral classes, execute the demo.py script. Provide POIs as a dataframe with the following scheme in the WGS84 format (EPSG:4326):

Column	Type	Description
id	str	Unique identifier for each location
lat	float	Latitude coordinate in decimal degrees
lon	float	Longitude coordinate in decimal degrees

Other input parameters are:

Column	Type	Description
pixel_size	float	Pixel resolution in meters. Must be a predefined value from (0.2, 0.4, 0.8, ... 204.8)
shape	tuple[int, int, int]	Image dimensions as (channels, height, width). Channels must be 3 (RGB) or 4 (RGBN).
outpath	Path or str	Directory path where output files will be saved.
mask_label	list, tuple[int] or int	Cadastral mask(s) to be extracted. Values are merged into a binary mask. Multi-class masks are not supported.
create_gpkg	bool (default: False)	Indicates whether vectorized but unclipped tiles should be saved as .GPKG.
nodata_mode	str (default: 'flag')	Mode for handling no-data values ('flag' or 'remove').
nodata_value	int (default: 0)	Value assigned to no-data pixels.

Results

General overview of different classes:

Unique selection of classes:

Available Classes

To select your class labels, select one or more from the following list:

Category	Code	Subcategory
Building areas	41	Buildings
	83	Adjacent building areas
Water body	59	Flowing water
	60	Standing water
	61	Wetlands
	64	Waterside areas
Agricultural	40	Permanent crops or gardens
	48	Fields, meadows or pastures
	57	Overgrown areas
Forest	55	Krummholz
	56	Forests
	58	Forest roads
Other	42	Car parks
	62	Low vegetation areas
	63	Operating area
	65	Roadside areas
	72	Cemetery
	84	Mining areas, dumps and landfills
	87	Rock and scree surfaces
	88	Glaciers
	92	Rail transport areas
	95	Road traffic areas
	96	Recreational area
Gardens	52	Gardens
Alps	54	Alps

Releasing a new version

• Create an API Token on PyPI.
• Add the API Token to your projects secrets with the name PYPI_TOKEN by visiting this page.
• Create a new release on Github.
• Create a new tag in the form *.*.*.
• For more details, see here.

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Repository initiated with fpgmaas/cookiecutter-poetry.