The geemap package is built upon ipyleaflet and ipywidgets, and enables users to analyze and visualize Google Earth Engine datasets interactively within a Jupyter-based environment.
Archive: Jupyter
- Ever wanted to view local raster files in a Jupyter notebook? Check out this local tile server to do just that.
- The leafmap package is free and open-source, enabling users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab and Jupyter Notebook.
- Here is a video recording of a 90-min workshop introducing leafmap, featuring Dr. Qiusheng Wu, Assistant Professor of Geography at the University of Tennessee, Knoxville.
- Here is a collection of Jupyter notebooks for learning Google Earth Engine Python API and geemap, assembled by geemap's author, Dr. Qiusheng Wu.
- Learn how to publish your Jupyter notebooks as web tools with this step-by-step example. This functionality is available from ArcGIS Enterprise version 10.9.1.
- European Centre for Medium-Range Weather Forecasts (ECMWF) has released more than 40 notebooks to help users reproduce their weather charts. Just click on any chart with a Project Jupyter icon.
- Here you can find introductions and Jupyter Notebook examples on how to access Radiant MLHub API.
- Here are some tools for working with Google Earth Engine from a Jupyter development environment which provide a foundation for new libraries on top of the Google Earth Engine Python API.
