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#geemap — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geemap, aggregated by home.social.

  1. New guide: Zonal Statistics in Python with Earth Engine and Colab

    Inside:
    • Template for processing multiple rasters at once
    • Unified reducer (mean/median/std/min/max in one pass)
    • Convert to GeoDataFrame
    • Export to GPKG/CSV + upload to Google Drive
    • Visual maps (relief, NDVI, soil temperature)

    🎁 Bonus: ready-to-use Colab notebook at the end.

    Read more: medium.com/@anton.biatov/zonal

    #Geospatial #GIS #EarthEngine #Python #Geemap #ZonalStatistics #NDVI #DataScience

  2. New guide: Zonal Statistics in Python with Earth Engine and Colab

    Inside:
    • Template for processing multiple rasters at once
    • Unified reducer (mean/median/std/min/max in one pass)
    • Convert to GeoDataFrame
    • Export to GPKG/CSV + upload to Google Drive
    • Visual maps (relief, NDVI, soil temperature)

    🎁 Bonus: ready-to-use Colab notebook at the end.

    Read more: medium.com/@anton.biatov/zonal

    #Geospatial #GIS #EarthEngine #Python #Geemap #ZonalStatistics #NDVI #DataScience

  3. New guide: Zonal Statistics in Python with Earth Engine and Colab

    Inside:
    • Template for processing multiple rasters at once
    • Unified reducer (mean/median/std/min/max in one pass)
    • Convert to GeoDataFrame
    • Export to GPKG/CSV + upload to Google Drive
    • Visual maps (relief, NDVI, soil temperature)

    🎁 Bonus: ready-to-use Colab notebook at the end.

    Read more: medium.com/@anton.biatov/zonal

    #Geospatial #GIS #EarthEngine #Python #Geemap #ZonalStatistics #NDVI #DataScience

  4. New guide: Zonal Statistics in Python with Earth Engine and Colab

    Inside:
    • Template for processing multiple rasters at once
    • Unified reducer (mean/median/std/min/max in one pass)
    • Convert to GeoDataFrame
    • Export to GPKG/CSV + upload to Google Drive
    • Visual maps (relief, NDVI, soil temperature)

    🎁 Bonus: ready-to-use Colab notebook at the end.

    Read more: medium.com/@anton.biatov/zonal

    #Geospatial #GIS #EarthEngine #Python #Geemap #ZonalStatistics #NDVI #DataScience

  5. Zonal Statistics in Python with Earth Engine and Colab (New guide)

    Inside:
    • Template for processing multiple rasters at once
    • Unified reducer (mean/median/std/min/max in one pass)
    • Convert to GeoDataFrame
    • Export to GPKG/CSV + upload to Google Drive
    • Visual maps (relief, NDVI, soil temperature)

    🎁 Bonus: ready-to-use Colab notebook at the end.

    Read more: medium.com/@anton.biatov/zonal

    ---

    #Geospatial #GIS #EarthEngine #Python #Geemap #ZonalStatistics #NDVI #DataScience

  6. NEW! The Leanpub Podcast 🎙️ Feat. Qiusheng Wu, Author of Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools

    Watch here:

    youtu.be/NgKYwGW2oYw

    #books #ebooks #GIS #Python #OpenSource #Geospatial #RemoteSensing #DataScience #EarthEngine #geemap #leafmap #LeanpubPodcast

  7. NEW! The Leanpub Podcast 🎙️ Feat. Qiusheng Wu, Author of Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools

    Watch here:

    youtu.be/NgKYwGW2oYw

    #books #ebooks #GIS #Python #OpenSource #Geospatial #RemoteSensing #DataScience #EarthEngine #geemap #leafmap #LeanpubPodcast

  8. NEW! The Leanpub Podcast 🎙️ Feat. Qiusheng Wu, Author of Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools

    Watch here:

    youtu.be/NgKYwGW2oYw

    #books #ebooks #GIS #Python #OpenSource #Geospatial #RemoteSensing #DataScience #EarthEngine #geemap #leafmap #LeanpubPodcast

  9. NEW! The Leanpub Podcast 🎙️ Feat. Qiusheng Wu, Author of Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools

    Watch here:

    youtu.be/NgKYwGW2oYw

    #books #ebooks #GIS #Python #OpenSource #Geospatial #RemoteSensing #DataScience #EarthEngine #geemap #leafmap #LeanpubPodcast

  10. 📢The recording of our workshop at is now live on YouTube! 🎥 Huge thanks to Justin Braaten for the fantastic collaboration

    Title: An Introduction to Cloud-Based Geospatial Analysis with and
    Watch here: youtu.be/JavlJrzcCDw
    Explore the Notebook: geemap.org/workshops/AGU_2024

  11. 📢The recording of our workshop at #AGU24 is now live on YouTube! 🎥 Huge thanks to Justin Braaten for the fantastic collaboration

    Title: An Introduction to Cloud-Based Geospatial Analysis with #EarthEngine and #Geemap
    Watch here: youtu.be/JavlJrzcCDw
    Explore the Notebook: geemap.org/workshops/AGU_2024

    #geospatial #opensource

  12. 📢The recording of our workshop at #AGU24 is now live on YouTube! 🎥 Huge thanks to Justin Braaten for the fantastic collaboration

    Title: An Introduction to Cloud-Based Geospatial Analysis with #EarthEngine and #Geemap
    Watch here: youtu.be/JavlJrzcCDw
    Explore the Notebook: geemap.org/workshops/AGU_2024

    #geospatial #opensource

  13. 📢The recording of our workshop at #AGU24 is now live on YouTube! 🎥 Huge thanks to Justin Braaten for the fantastic collaboration

    Title: An Introduction to Cloud-Based Geospatial Analysis with #EarthEngine and #Geemap
    Watch here: youtu.be/JavlJrzcCDw
    Explore the Notebook: geemap.org/workshops/AGU_2024

    #geospatial #opensource

  14. 📢The recording of our workshop at #AGU24 is now live on YouTube! 🎥 Huge thanks to Justin Braaten for the fantastic collaboration

    Title: An Introduction to Cloud-Based Geospatial Analysis with #EarthEngine and #Geemap
    Watch here: youtu.be/JavlJrzcCDw
    Explore the Notebook: geemap.org/workshops/AGU_2024

    #geospatial #opensource

  15. 🚀 Great news! 🎉 Gemini Pro can now be accessed directly through Jupyter AI! 📚✨ Discover the power of generating code examples with the help of AI by trying out this Colab notebook. 👇

    🔗 Link: colab.research.google.com/driv

    No need to switch tabs or open a separate browser window while coding in notebook.

  16. Grateful for the opportunity to join MapScaping podcast once again, discussing and ! Special thanks to Daniel O'Donohue for allowing me to delve into the journey and growth of the geemap project. Check out the episode here: 🎧✨

    podcasts.apple.com/us/podcast/

  17. Daniel O'Donohue interviews Quisheng Wu about GeeMap on the Mapscaping Podcast mapscaping.com/podcast/geemap/ #geemap #EarthEngine

  18. The recording of the 4-hr and workshop at is now available. Co-taught by Justin Braaten, Samapriya Roy, and Qiusheng Wu

    🎥 Video: youtu.be/YrvCwQoGoxg
    📒 Notebook: geemap.org/workshops/AGU_2023

  19. Had the chance to meet the Dr. and sit through this. This was fun.

  20. I've donated two nice books to the library: Open Mapping towards and Earth Engine & by @giswqs. Thanks for providing an extra copy of the latter!

  21. The new book "Earth Engine & Geemap - Geospatial data science with Python" by @giswqs has arrived! Looking forward to learn great stuff! blog.locatepress.com/new-relea

  22. RT @giswqs: New book release: Earth Engine and Geemap - Geospatial Data Science with Python!

    11 chapters, 408 pages. Available for order from @locatepress now 👇
    t.co/quSXiTjgnv

    t.co/0Pn647WkfO t.co/iDhvEFN9tQ

  23. New book release: Earth Engine and Geemap - Geospatial Data Science with Python!

    11 chapters, 408 pages. Available for order from Locate Press now 👇
    locatepress.com/book/gee

  24. Great to see and making the top Python packages in 2022. Thank you to Matt Forrest for sharing this on LinkedIn.

    geemap: github.com/giswqs/geemap
    leafmap: github.com/giswqs/leafmap