geemap

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

A collection of 300+ examples for using Earth Engine and the geemap Python package

A collection of Jupyter notebooks for GEE Courses

Geospatial Data Science with Earth Engine and Geemap

A streamlit app template based on streamlit-option-menu

A Python package for installing optional dependencies for geemap and leafmap.

Interactive web apps created using geemap and streamlit

A collection of Earth Engine Apps created using geemap, voila, and heroku

Python scripts for deploying Earth Engine Apps to heroku

A streamlit multipage app template for geospatial applications

Spatial Data Management with Google Earth Engine

geemap with streamlit

A template for building a mkdocs website

A streamlit web app visualizing global surface water datasets.

Interactive geemap tutorials on heroku

Jupyter notebooks for the GEE book

A multi-page streamlit web app template for geospatial applications

Interactively visualize and contextualize high-resolution spaceborne LiDAR data from NASA's ICESat-2 mission, using the OpenAltimetry API along with the Google Earth Engine Python API and the python package geemap for mapping.

Analyze geo-mapped aerial data to estimate green cover and related factors.

A collection of Jupyter notebooks for geospatial applications