Streamlit does not yet support custom domains. Here is a workaround: iframing your app into index.html and put it in your repo, then create a gh-pages branch and add your custom domain to GitHub pages. Check out my app with a custom domain 👇 App: https://streamlit.gishub.org GitHub: https://github.com/giswqs/streamlit-geospatial index.html: https://github.com/giswqs/streamlit-geospatial/blob/master/index.html

Dr. John Lindsay recently released WhiteboxTools v2.0. It contains 487 tools for geospatial analysis. I have updated the frontends (ArcGIS, R, Python, Jupyter) to use WhiteboxTools v2.0. Check out the links below. WhiteboxTools: GitHub: github.com/jblindsay/whitebox-tools Manual: whiteboxgeo.com/manual/wbt_book/intro.html News release: https://www.whiteboxgeo.com/whitebox-geospatial-news/#v2_release

This is a 1.5-hour geemap workshop I presented at the GeoPython Conference 2021. This workshop gives a brief introduction to Google Earth Engine and some key features of the geemap Python package. Notebook: https://geemap.org/workshops/GeoPython_2021

I am migrating my blog from Medium to hashnode, a very developer-friendly platform. I love being able to write blogs using markdown and auto-backup on GitHub. This Medium blog will no longer be updated. Please visit my new blog via the link below. Thank you. https://blog.gishub.org/

WhiteboxTools v1.3.1 with 443 tools for geospatial analysis has been released by Dr. John Lindsay. Check out WhiteboxTools and its frontends, including python, R, ArcGIS, and QGIS. WhiteboxTools: https://github.com/jblindsay/whitebox-tools whitebox-python: https://github.com/giswqs/whitebox-python whiteboxR: https://github.com/giswqs/whiteboxR whitebox-ArcGIS: https://github.com/giswqs/WhiteboxTools-ArcGIS

This tutorial shows you how to use your local computer as a web server for hosting Earth Engine Apps with Voila and ngrok. GitHub: https://github.com/giswqs/geemap Twitter: https://twitter.com/giswqs Earth Engine Tutorials: https://www.youtube.com/playlist?list=PLAxJ4-o7ZoPccOFv1dCwvGI6TYnirRTg3 Notebook: https://github.com/giswqs/geemap/blob/master/examples/notebooks/

This tutorial shows you how to create an interactive Earth Engine App for creating Landsat timelapse. You can also deploy the app to heroku so that anyone can open the app to create and download Landsat timelapse without coding. Youtube: https://youtu.be/whIXudC6r_s GitHub: https://github.com/giswqs/geemap Twitter: https://twitter.com/giswqs Notebook: https://github.com/giswqs/geemap/blob/master/examples/notebooks/

This tutorial shows you how to create and deploy Earth Engine Apps using Python. More specifically, Earth Engine Apps can be created using existing Jupyter notebooks and deployed using voila and heroku. Youtube: https://youtu.be/nsIjfD83ggA GitHub: https://github.com/giswqs/geemap App: https://geemap-demo.herokuapp.com Twitter: https://twitter.com/giswqs

This tutorial shows you load local raster datasets with geemap so that you can visualize local raster datasets with Earth Engine data layers. GitHub: https://github.com/giswqs/geemap Twitter: https://twitter.com/giswqs Notebook: https://github.com/giswqs/geemap/blob/master/examples/notebooks/21_export_map_to_html_png.ipynb