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🌐 Blue-GEO (@geo)

🌐 AI for a Blue Planet.

pip install blue-geo
graph LR
    catalog_browse["@catalog<br>browse<br>&lt;catalog-name&gt;<br>&lt;resource&gt;"]

    catalog_get["@catalog<br>get &lt;thing&gt;<br>--catalog &lt;catalog&gt;"]

    catalog_list_catalogs["@catalog<br>list catalogs"]

    catalog_list["@catalog<br>list collections|datacube_classes<br>--catalog &lt;catalog&gt;"]

    catalog_query["@catalog<br>query<br>&lt;catalog-name&gt;<br>&lt;collection-name&gt; -<br>&lt;query-object-name&gt;"]

    catalog_query_and_ingest["@catalog<br>query<br>&lt;catalog-name&gt;<br>&lt;collection-name&gt;<br>ingest,scope=&lt;scope&gt;<br>&lt;query-object-name&gt;"]

    catalog_query_read["@catalog<br>query<br>read -<br>&lt;query-object-name&gt;"]

    catalog_query_ingest["@catalog<br>query<br>ingest -<br>&lt;query-object-name&gt;<br>scope=&lt;scope&gt;"]

    datacube_crop["@datacube<br>crop -<br>&lt;object-name&gt;<br>&lt;datacube-id&gt;"]

    datacube_get["@datacube<br>get<br>catalog<br>&lt;datacube-id&gt;"]

    datacube_ingest["@datacube<br>ingest<br>scope=&lt;scope&gt;<br>&lt;datacube-id&gt;"]

    datacube_label["@datacube<br>label -<br>&lt;datacube-id&gt;"]

    datacube_list["@datacube<br>list<br>&lt;datacube-id&gt;<br>--scope &lt;scope&gt;"]

    geo_watch["@geo watch<br>batch<br>&lt;query-object-name&gt;|target=&lt;target&gt; -<br>to=&lt;runner&gt; - -<br>&lt;object-name&gt;"]

    catalog["🌐 catalog"]:::folder
    datacube_1["🧊 datacube"]:::folder
    datacube_2["🧊 datacube"]:::folder
    datacube_3["🧊 datacube"]:::folder
    terminal["πŸ’» terminal"]:::folder
    QGIS["πŸ–ΌοΈ QGIS"]:::folder
    query_object["πŸ“‚ query object"]:::folder
    object["πŸ“‚ object"]:::folder
    target["🎯 target"]:::folder

    catalog_list_catalogs --> terminal

    catalog --> catalog_browse
    catalog_browse --> terminal

    catalog --> catalog_get
    catalog_get --> terminal

    catalog --> catalog_list
    catalog_list --> terminal

    catalog --> catalog_query
    catalog_query --> query_object

    catalog --> catalog_query_and_ingest
    catalog_query_and_ingest --> query_object
    catalog_query_and_ingest --> datacube_1

    query_object --> catalog_query_read
    catalog_query_read --> datacube_1

    query_object --> catalog_query_ingest
    catalog_query_ingest --> datacube_1
    catalog_query_ingest --> datacube_2
    catalog_query_ingest --> datacube_3

    datacube_1 --> datacube_crop
    target --> datacube_crop
    datacube_crop --> datacube_1

    datacube_1 --> datacube_get
    datacube_get --> terminal

    datacube_1 --> datacube_ingest
    datacube_ingest --> datacube_1

    datacube_1 --> datacube_list
    datacube_list --> terminal

    datacube_1 --> datacube_label
    datacube_label --> QGIS
    datacube_label --> datacube_1

    query_object --> geo_watch
    target --> geo_watch
    geo_watch --> object

    classDef folder fill:#999,stroke:#333,stroke-width:2px;
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🧊Maxar Open Data image catalog: Maxar's Open Data program 🧊copernicus image catalog: Copernicus Data Space Ecosystem - Europe's eyes on Earth 🌐SkyFox image catalog: Earth Data Store.
🌐EarthSearch image catalog: Earth Search by Element 84 (earth-search-aws). 🌐firms-area image catalog: Fire Information for Resource Management System (FIRMS). πŸ‡ΊπŸ‡¦ukraine-timemap image catalog: Bellingcat Civilian Harm in Ukraine TimeMap dataset, available through this UI and this API.
🌈vancouver-watching image catalog: Vancouver watching with AI, last build: πŸ”—. 🌐geo-watch image watch the planet's story unfold. 🌐global-power-plant-database image The Global Power Plant Database is a comprehensive, open source database of power plants around the world datasets.wri.org.
🌐QGIS image an AI terraform for QGIS. 🌐catalog image generalized STAC Catalogs. 🧊datacube image generalized STAC Items.

πŸ“œ metadata

🎁 wish list and bugs

pylint pytest bashtest PyPI version PyPI - Downloads

built by πŸŒ€ blue_options-4.197.1, based on 🌐 blue_geo-4.1018.1.