What a fantastic mapping tool - and reminder that rivers need space! Crowding in on floodplains was one of the key drivers of losses in Europe's #flashlood in 2021 and Pakistan's deluge in 2022.
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RT @giswqs
#Leafmap new feature: creating timelapse animations from satellite images with only one line of code. It supports both locally stored raster datasets and Cloud Optimized GeoTIFFs (#COG) on the web.

Notebook: https://leafmap.org/noteb…
https://twitter.com/giswqs/status/1639250321485762563

#Leafmap new feature: creating timelapse animations from satellite images with only one line of code. It supports both locally stored raster datasets and Cloud Optimized GeoTIFFs (#COG) on the web.

Notebook: https://leafmap.org/notebooks/72_timelapse
GitHub: https://github.com/giswqs/leafmap

#geospatial #dataviz

RT @giswqs
Both #geemap and #leafmap are now available on #Docker Hub. Start using them with a single command 👇

Command: docker run -it -p 8888:8888 giswqs/leafmap:latest
Docs: https://leafmap.org/installation/#use-docker
Video: https://youtu.be/1Qfd7rmOlt8

#geospatial

Visualize #Maxar Open Data for the Turkey-Syria #earthquake using #leafmap. Search for images and return footprints as a GeoDataFrame with one line of code. Compare pre-event and post-event images side by side 👇

Notebook: https://leafmap.org/notebooks/69_turkey_earthquake/
Video: https://youtu.be/wevzJfOf5GQ

#geospaital #geopython

#Leafmap v0.16.0 has been released. It supports searching and visualizing open #geospatial datasets interactively from public #STAC API endpoint (e.g., #AWS, #PlanetaryComputer). Search results can be returned as a GeoDataFrame, list, dict.
Notebook: https://leafmap.org/notebooks/64_stac_search
GitHub: https://github.com/giswqs/leafmap

Searching and visualizing #PlanetaryComputer #geospatial datasets interactively with #leafmap. Image footprints with attribute data can be added to the map automatically and accessed through a GeoPandas GeoDataFrame
https://github.com/giswqs/leafmap/pull/347
#dataviz #geopython #opensource #stac

Searching and visualizing #AWS
open geospatial datasets interactively with #leafmap. Image footprints with attribute data can be added to the map automatically and accessed through a GeoPandas GeoDataFrame.

https://github.com/giswqs/leafmap/pull/347

#geospatial #dataviz #geopython #opensource

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

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

#geopython #opensource #mapping

Leafmap Tutorial 61 - Creating an animated GIF from a vector dataset

Video: https://youtu.be/DdR8kU3i1eU
Notebook: https://leafmap.org/notebooks/61_vector_to_gif

#leafmap #geospatial #geopython #dataviz

#Leafmap now supports #ArcGIS Pro. Visualizing #COG #STAC in ArcGIS with one line of code.

Notebook: https://github.com/giswqs/leafmap/blob/master/examples/notebooks/63_arcgis.ipynb
Video: https://youtu.be/kWdL06Bc2VQ

#geospatial #dataviz #arcgispro #gischat

My #opensource projects on GitHub just surpassed 10,000 stars and 3,800 followers. Thank you for your support!

GitHub: https://github.com/giswqs
YouTube: https://youtube.com/@giswqs

#geospatial #geopython #geemap #leafmap #dataviz

RT @giswqs@twitter.com

Creating animated GIF from vector data with only one line of code using #leafmap 👇

Notebook: https://leafmap.org/notebooks/61_vector_to_gif

#geospatial #dataviz #geopandas #opensource

🐦🔗: https://twitter.com/giswqs/status/1597620409905868800

RT @giswqs@twitter.com

#Leafmap v0.12.0 is out. New features include support for @bokeh@twitter.com. It supports loading vector data (GeoJSON, Shapefile, etc.) and raster data (#COG, #STAC, or local raster datasets) with only one line of code.

Notebook: https://leafmap.org/notebooks/58_bokeh/
Docs: https://leafmap.org/bokehmap/

🐦🔗: https://twitter.com/giswqs/status/1590335094635778048