Changes

Version 0.3.3 (2026-02-04)

  • Update README.rst and documentation

Version 0.3.2 (2025-06-04)

  • Added new Jupyter Notebooks wcpms-introduction.ipynb and wcpms-phenometrics-region.ipynb

  • Included example dataset LEM_dataset_small.gpkg for wcpms-phenometrics-region notebooks

  • Restructured notebooks/ with dedicated Data/ and Python/wcpms/ folders

Version 0.3.1 (2025-05-13)

  • Removed dependency on ipython==8.26.0 as it’s no longer required.

  • Removed display(HTML) usage from IPython client in get_description function.

  • Fixed imports of plotly.express to use proper alias import.

  • Updated documentation format to use pure JSON instead of IPython HTML display.

Version 0.2.0 (2025-04-02)

  • Added get_collections Example - Included a practical usage example for the get_collections function.

  • Reworked Plot Function Using Plotly - Updated the plotting function to Plotly, instead of matplotlib, for interactive visualizations.

  • Reworked get_phenometrics_region Function - List phenological metrics calculated for each spatial location of the given region.

  • Added get_timeseries_region Function - Retrieves the satellite images time series for each pixel centers within the given region.

  • Remade Jupyter Notebooks - Updated and restructured Jupyter notebooks to reflect new functionalities and a step-by-step guidance.

  • Updated Documentation - Revised and expanded documentation to include new features and improve readability.

Version 0.1.0 (2025-03-10)

  • Add get_phenometrics - Returns in dictionary form all the phenological metrics calculated for the given spatial location.

  • Add cube_query - An object that contains the information associated with a collection that can be downloaded or acessed.

  • Add get_collections - List available data cubes in the BDC’s SpatioTemporal Asset Catalogs (STAC).

  • Add get_description - List the information on each of the phenological metrics, such as code, name, description and method.

  • Add get_phenometrics_region - List phenological metrics calculated for each of the given spatial location based on selected methodology.