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: https://youtu.be/JavlJrzcCDw
Explore the Notebook: https://geemap.org/workshops/AGU_2024

Quisheng Wu of #geemap interview on building and sharing #opensource software https://www.mindsbehindmaps.com/episode/qiusheng-wu-building-amp-sharing-open-source-software-mbm63

Great news! Gemini Pro can now be accessed directly through Jupyter AI! Discover the power of generating #geemap code examples with the help of AI by trying out this Colab notebook.

Link: https://colab.research.google.com/drive/1zjYHo2lyCMk1cIAuPGJvO8Ea0PenUKm9?usp=sharing](https://colab.research.google.com/drive/1zjYHo2lyCMk1cIAuPGJvO8Ea0PenUKm9?usp=sharing

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

Grateful for the opportunity to join MapScaping podcast once again, discussing #EarthEngine and #geemap! 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:

https://podcasts.apple.com/us/podcast/the-mapscaping-podcast-gis-geospatial-remote-sensing/id1452297085?i=1000641077575

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

The recording of the 4-hr #EarthEngine and #geemap workshop at #AGU23 is now available. Co-taught by Justin Braaten, Samapriya Roy, and Qiusheng Wu

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

Had the chance to meet the Dr. and sit through this. This was fun. #geemap #tngic #python

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

The new #LocatePress book "Earth Engine & Geemap - Geospatial data science with Python" by @giswqs has arrived! Looking forward to learn great stuff! #gee #Geemap #Python #GIS #DataScience https://blog.locatepress.com/new-release-earth-engine-geemap-by-qiusheng-wu/

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

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

#geospatial #earthengine #geemap #geopython https://t.co/0Pn647WkfO https://t.co/iDhvEFN9tQ

New #LocatePress book release:

#EarthEngine and #Geemap: Geospatial Data Science with Python by Qiusheng Wu @giswqs

https://blog.locatepress.com/new-release-earth-engine-geemap-by-qiusheng-wu/

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

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

SciPy 2023 Presentation - Interactive Analysis of Satellite Imagery with #EarthEngine and #Geemap

YouTube: https://youtu.be/qd5alEojY50
Slides: https://bit.ly/scipy-gee

Recording of the 4-hour #geemap workshop at the SciPy Conference 2023

YouTube: https://youtu.be/ZvuX56mKHAI
Notebook: https://geemap.org/workshops/SciPy_2023

How to search and visualize #EarthEngine datasets using #geemap with just a few clicks?

Docs: https://geemap.org
GitHub: https://github.com/giswqs/geemap

Hourly total precipitable water vapor forecasts from #NOAA's Global Forecast System at the end of June 2022, slightly before the #monsoon officially reached the National Capital Region.

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

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

A little late to this, but here is an animation of the development of the recent winter storm over continental #USA using daily minimum air #temperature from #GRIDMET.

Satellite timelapse of #WinterStormElliott on #Christmas Day. Created using #geemap with #GOES 17 satellite imagery.

Source code: https://share.gishub.org/goes_timelapse/