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zacdezgeo
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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.

@zacdezgeo
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@microsoft-github-policy-service agree company="Development Seed"

@kcarini
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kcarini commented May 16, 2025

i made a couple more text edits.

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