5/5 And here's my script that does those three things - find all Sentinel-2 images that completely cover an AOI without clouds, and export them in batch #EarthEngine
https://code.earthengine.google.com/29d73d3ef57735514ebaceb5aeae0b75
(It also pages through the thumbnails so you can inspect them visually!)

4/5 3) How to export an image collection in batch (Thanks Rodrigo Principe author of geetools)! https://gis.stackexchange.com/questions/248216/exporting-each-image-from-collection-in-google-earth-engine/248230#248230
#EarthEngine

3/5 2) How to find which images are cloudfree over your area of interest, rather than the entire image (Thanks Blue101black!) https://gis.stackexchange.com/questions/375261/how-can-filter-low-cloud-coverange-in-a-region-with-sentinel-2-l2a-in-gee/376759#376759
#EarthEngine

Speaking for myself, there is no coding without StackExchange, and this especially goes for javascript for #EarthEngine!

Using building density 👇 for refining analyses of drivers of urban biodiversity seems to be meaningful approach
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RT @spatialthoughts
Built a script today to create a building density map for anywhere in the world using Google #EarthEngine and the @Microsoft Global ML Building Footprints dataset from the GEE Community Catalog. Try out the script on your own region of interest https://code.earthengine.google.co.in/2c60034b74ad74cb…
https://twitter.com/spatialthoughts/status/1642862571849142272

#EarthEngine users, do you know about this book https://www.eefabook.org/ and video series? https://www.eefabook.org/videos.html
Highly recommend. #eefabook

Great news for the @google Earth Engine community catalog with updated CMIP6 North America dataset from @adaptwest v7.3 now with 20 and 30-year ensemble models & Shoreline datasets from @GeoscienceAus and @DEarthAfrica

Share & like the GitHub project for more updates
https://github.com/samapriya/awesome-gee-community-datasets

Amazing users support open communities. Sponsor, share, and spread the project
https://gee-community-catalog.org/

#opensource #opendata #EarthEngine #GEE #ClimateChange #climate #ocean #geospatial

Important: If you are or are planning to use Sentinel-3 data on Google Earth Engine you should be aware of the data issues flagged here https://issuetracker.google.com/issues/257249154?pli=1 #EarthEngine #Sentinel3

Our analysis has confirmed the importance of using the S2_HARMONIZED or S2_SR_HARMONIZED collections if you are working with imagery before and after Jan 2022. If you do not, you WILL have artifacts in your imagery/analysis.
Please spread the word, this has been underreported. #EarthEngine #Sentinel2

All forcing data and attributes in Caravan were derived on #Google #EarthEngine, making it feasible for everyone to add new basins to Caravan, with the only requirement to have the basin polygon(s) and stream record(s). All other data is derived in the cloud and brought into a consistent format with the code that is provided as part of the paper https://github.com/kratzert/Caravan/

First community extension was already added and hopefully more to come.

It only takes a few lines of code in #EarthEngine to dig up some GFS data and watch the cold plow through New England. 🥶 #wx
https://code.earthengine.google.com/ec009fb8db16f2ac0f3a6a58609209ea

Join me this week for a step-by-step setup guide on connecting personal Google Cloud projects to university accounts and demystifying common concepts related to Google Cloud projects and Google Earth Engine.

https://bit.ly/gcp-gee

#GoogleCloudProjects #EarthEngine #Technology #tutorials #guide #university

Just added the Global Long-term Microwave Vegetation Optical Depth Climate Archive (VODCA) to the #Google #EarthEngine community catalog, ensuring readiness for use in Google #EarthEngine.

Additionally, thanks to the RADD team, continuously updated RADD forest disturbance alerts are now available in the community catalog.

Changelog
https://bit.ly/awesome-gee-changelog

Sponsor, support, star & share⭐ the project
https://github.com/samapriya/awesome-gee-community-datasets

#geospatial #remotesensing #opensource #opendata #openaccess #forest

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

Docs: https://t.co/7XbnSm2zbE
GitHub: https://t.co/IPq3pQgnCU

#geospatial #dataviz #geopython #opensource https://t.co/RMwl6DYzz0

I recently made a useful addition to my #GEE code which allows me to see when it was last run in local time while ingesting data in the community catalog

You can try it yourself. I am channeling @Keiko_geo #EarthEngine tips series 😀

https://code.earthengine.google.com/79a474f67640936683b47f1989cf3ece

#GoogleEarthEngine #gischat

RT @giswqs@twitter.com

#Leafmap new feature - Searching and visualizing open #geospatial datasets (#STAC) interactively without coding. It will support #AWS Open Data, #EarthEngine, #PlanetaryComputer, NASA CMR, STAC Index.

Leafmap: https://github.com/giswqs/leafmap/pull/340
Data catalogs: https://github.com/giswqs/geospatial-data-catalogs

🐦🔗: https://twitter.com/giswqs/status/1613547421488889856

@samapriya Welcome. Looking forward to all the progress in your #Earthengine community catalog 😁.

Maps like this make me really want to dig into #earthengine.

https://coastal.climatecentral.org/map/12/-71.0901/42.3801/?theme=warming&map_type=multicentury_slr_comparison&basemap=roadmap&elevation_model=best_available&lockin_model=levermann_2013&refresh=true&temperature_unit=C&warming_comparison=%5B%221.0%22%2C%224.0%22%5D

Great work from Climate Central team, they've built a whole set of visualizations to communicate climate impacts broadly and locally

#climatechange #maps #gischat

RT @ZZMitch@twitter.com

Wow, just came across this dataset on #EarthEngine, seems like a game changer for historic land change monitoring?

Google Global Landsat-based #CCDC Segments
https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_GLOBAL_CCDC_V1

From 1999-2020 for now... will need to explore!

🐦🔗: https://twitter.com/ZZMitch/status/1610719681949859840

#FOSS #Geospatial emojis added

#ArcGIS :arcgis:
#cog :cog:
#gdal :gdal:
#GoogleEarth :gearth:
#EarthEngine :gearth_engine:
#geopandas :geopandas:
#GRASSGIS :grassgis:
#NumPy :numpy:
#osgeo :osgeo:
#OpenStreetMap :osm:
#pandas :pandas:
#PostGIS :postgis:
#Postgres :postgres:
#QGIS :qgis:
#RStats :rstat:
#SAGAGIS :saga: