What I changed

• Added the site-monitoring-foundations.ipynb tutorial notebook showcasing how to search, filter, and visualize Sentinel-2 data using STAC API and Planetary Computer tools.
• Introduced a clean dependency setup using uv:
  • pyproject.toml includes required libraries (pystac-client, pandas, matplotlib, etc.)
  • uv.lock ensures reproducible environments.

How to test it

• Install dependencies using uv.
• Open and run site-monitoring-foundations.ipynb in Jupyter or VS Code.
• Verify that:
  • STAC items are returned and filtered by cloud cover
  • Monthly scene counts are plotted
  • rendered_preview is displayed
  • CSV summary (ndsi_summary.csv) can be uploaded to Power BI for further analysis

Other notes

• The notebook serves as a foundation for visual site monitoring workflows.
• Power BI integration is mentioned via CSV export for interactive exploration within Microsoft's ecosystem.