Catalog class

Overview

The Catalog class enables access to the UP42 catalog functionality.

Python

    catalog = up42.initialize_catalog()

This class also inherits functions from the CatalogBase class.

Full scenes

construct_search_parameters()

The construct_search_parameters() function allows you to fill out search parameters when searching for catalog imagery. The returned data type is dict.

Argument	Overview
`geometry`	Union[FeatureCollection, Feature, dict, list, GeoDataFrame, Polygon] / required The geometry of interest.
`collections`	list[str] / required The geospatial collection names.
`start_date`	str The start date of the search period in the `YYYY-MM-DD` format. The default value is `2020-01-01`.
`end_date`	str The end date of the search period in the `YYYY-MM-DD` format. The default value is `2020-01-30`.
`limit`	int The number of search results to show. Use a value from 1 to 500. The default value is `10`.
`max_cloudcover`	int The maximum cloud coverage, in percentage.

An example with construct_search_parameters()

Python

    catalog.construct_search_parameters(
    geometry=up42.get_example_aoi(location="Berlin"),
    collections=["phr"],
    start_date="2022-06-01",
    end_date="2022-12-31",
    limit=20,
    max_cloudcover=25,
)

search()

The search() function returns the full scenes matching the search parameters. The returned data type is Union[GeoDataFrame, dict].

Argument	Overview
`search_parameters`	dict / required The catalog search parameters.
`as_dataframe`	bool Determines how to return search results: `True`: return GeoDataFrame. `False`: return JSON. The default value is `True`.

An example with search()

Python

    catalog.search(
    search_parameters=catalog.construct_search_parameters(
        geometry=up42.get_example_aoi(),
        collections=["phr"],
        start_date="2022-06-01",
        end_date="2022-12-31",
        limit=20,
        max_cloudcover=25,
    ),
    as_dataframe=False,
)

download_quicklooks()

The download_quicklooks() function allows you to download low-resolution previews of full scenes returned in search results. The returned data type is list[str].

Argument	Overview
`image_ids`	list[str] / required The scene IDs.
`collection`	str / required The geospatial collection name.
`output_directory`	Union[str, Path, None] The file output directory. The default value is the current directory.

An example with download_quicklooks()

Python

    catalog.download_quicklooks(
    image_ids=["a4c9e729-1b62-43be-82e4-4e02c31963dd"],
    collection="phr",
    output_directory="/Users/max.mustermann/Desktop/",
)

Orders

construct_order_parameters()

The construct_order_parameters() function allows you to fill out an order form for a new catalog order. The returned data type is dict.

Argument	Overview
`data_product_id`	str / required The data product ID.
`image_id`	str / required The scene ID.
`aoi`	Union[dict, Feature, FeatureCollection, list, GeoDataFrame, Polygon] The order AOI.
`tags`	list[str] A list of tags that categorize the order.

An example with construct_order_parameters()

Python

    catalog.construct_order_parameters(
    data_product_id="647780db-5a06-4b61-b525-577a8b68bb54",
    image_id="a4c9e729-1b62-43be-82e4-4e02c31963dd",
    aoi="/Users/max.mustermann/Desktop/aoi.geojson",
    tags=["project-7", "optical"],
)

estimate_order()

The estimate_order() function returns the cost estimate for a catalog order. The returned data type is int.

Argument	Overview
`order_parameters`	Union[dict, None] / required Parameters with which to place an order.

An example with estimate_order()

Python

    catalog.estimate_order(
    order_parameters=catalog.construct_order_parameters(
        data_product_id="4f1b2f62-98df-4c74-81f4-5dce45deee99",
        image_id="a4c9e729-1b62-43be-82e4-4e02c31963dd",
        aoi="/Users/max.mustermann/Desktop/aoi.geojson",
    ),
)