https://github.com/darrenwiens/stac-nb

STAC in Jupyter Notebooks
https://github.com/darrenwiens/stac-nb

Last synced: about 2 months ago
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STAC in Jupyter Notebooks

• Host: GitHub
• URL: https://github.com/darrenwiens/stac-nb
• Owner: darrenwiens
• License: mit
• Created: 2021-10-01T04:53:49.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-22T17:40:34.000Z (almost 2 years ago)
• Last Synced: 2024-07-15T21:37:54.584Z (2 months ago)
• Language: Python
• Size: 73.2 KB
• Stars: 33
• Watchers: 1
• Forks: 3
• Open Issues: 3
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

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• awesome-earthobservation-code - stac-nb - STAC in Jupyter Notebooks `Python` (`Python` processing of optical imagery (non deep learning) / Cloud Native Geospatial)

README

        
stac-nb

=================

STAC in Jupyter Notebooks

-------------------------

.. image:: https://readthedocs.org/projects/stac-nb/badge/?version=latest&style=flat

    :target: https://stac-nb.readthedocs.io/en/latest/?badge=latest

    :alt: Documentation Status

.. image:: https://badge.fury.io/py/stac-nb.svg

    :target: https://badge.fury.io/py/stac-nb

    :alt: PyPI Status

.. image:: https://coveralls.io/repos/github/darrenwiens/stac-nb/badge.svg?branch=main

    :target: https://coveralls.io/github/darrenwiens/stac-nb?branch=main

.. image:: https://github.com/darrenwiens/stac-nb/actions/workflows/python-package.yml/badge.svg

    :alt: Build Status

Install

-------------------------

::

    pip install stac-nb

Usage

-------------------------

.. usage_label

To use stac-nb in a project, start Jupyter Lab (``jupyter lab``), create a new notebook, then::

    from stac_nb import STAC_Query_UI

Display the UI for a STAC API::

    ui = STAC_Query_UI("https://earth-search.aws.element84.com/v0")

    ui.display()

After you have run the query, retrieve the results from ``ui.query_results``::

    ui.query_results

The statement above will render a visual list component, including an interactive map and a 

multitude of other richly stylized elements.

The list of pystac.Items returned from the query may be used further in Python, like::

    list(ui.query_results)