{"id":26241837,"url":"https://github.com/fitoprincipe/geestac","last_synced_at":"2026-02-11T04:01:39.587Z","repository":{"id":278020624,"uuid":"934261224","full_name":"fitoprincipe/geestac","owner":"fitoprincipe","description":"Google Earth Engine 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License: MIT\n\n.. |commit| image:: https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg?logo=git\u0026logoColor=white\n   :target: https://conventionalcommits.org\n   :alt: conventional commit\n\n.. |ruff| image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json\n   :target: https://github.com/astral-sh/ruff\n   :alt: ruff badge\n\n.. |prettier| image:: https://img.shields.io/badge/code_style-prettier-ff69b4.svg?logo=prettier\u0026logoColor=white\n   :target: https://github.com/prettier/prettier\n   :alt: prettier badge\n\n.. |pre-commmit| image:: https://img.shields.io/badge/pre--commit-active-yellow?logo=pre-commit\u0026logoColor=white\n    :target: https://pre-commit.com/\n    :alt: pre-commit\n\n.. |pypi| image:: https://img.shields.io/pypi/v/geestac?color=blue\u0026logo=pypi\u0026logoColor=white\n    :target: https://pypi.org/project/geestac/\n    :alt: PyPI version\n\n.. |build| image:: https://img.shields.io/github/actions/workflow/status/fitoprincipe/geestac/unit.yaml?logo=github\u0026logoColor=white\n    :target: https://github.com/fitoprincipe/geestac/actions/workflows/unit.yaml\n    :alt: build\n\n.. |coverage| image:: https://img.shields.io/codecov/c/github/fitoprincipe/geestac?logo=codecov\u0026logoColor=white\n    :target: https://codecov.io/gh/fitoprincipe/geestac\n    :alt: Test Coverage\n\n.. |docs| image:: https://img.shields.io/readthedocs/geestac?logo=readthedocs\u0026logoColor=white\n    :target: https://geestac.readthedocs.io/en/latest/\n    :alt: Documentation Status\n\n|license| |commit| |ruff| |prettier| |pre-commmit| |pypi| |build| |coverage| |docs|\n\nOverview\n--------\n\nThis packages provides an easy and straightforward way of getting Google Earth\nEngine STAC information.\n\nTo take fully advantage of this package is recommended to use it in runtime\ndue to `lazy evaluation \u003chttps://en.wikipedia.org/wiki/Lazy_evaluation\u003e`__\n\nInstallation\n------------\n\n.. code-block:: bash\n\n    pip install geestac\n\nUsage\n-----\n\n.. code-block:: python\n\n    from geestac import eecatalog\n\n    # a lazy object does not contain the complete data but only the reference (name and url)\n    landsat_lazy = eecatalog.LANDSAT\n\n    # to fetch all data you need to call it\n    landast = eecatalog.LANDSAT()\n\n    # if you do this in runtime, the `landsat` object contains all datasets as attributes\n    # if you don't do it in runtime you won't be able to see the datasets (attributes)\n\n    # it works the same with datasets\n    # lazy dataset\n    l9_lazy = landsat.LC09_C02_T1\n    # fetch L9 data\n    l9 = landsat.LC09_C02_T1()\n\n\nCredits\n-------\nAuthor: Rodrigo E. Principe\n\nThis package was created with `Copier \u003chttps://copier.readthedocs.io/en/latest/\u003e`__ and the `@12rambau/pypackage \u003chttps://github.com/12rambau/pypackage\u003e`__ 0.1.16 project template.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffitoprincipe%2Fgeestac","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffitoprincipe%2Fgeestac","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffitoprincipe%2Fgeestac/lists"}