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

Earth Engine and Geemap: Geospatial Data Science with Python

Interactive web apps created using geemap and streamlit

Python scripts for deploying Earth Engine Apps to heroku

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

A streamlit multipage app template for geospatial applications

A streamlit app template based on streamlit-option-menu

A collection of Jupyter notebooks for GEE Courses

Geo Assist is a spatial library to manage spatial data in-memory.

A collection of Earth Engine Apps created using geemap and voila

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

A Colab notebook for land cover mapping and monitoring using Earth Engine

geemap with streamlit

Interactive geemap tutorials on heroku

This course introduces beginners to Google Earth Engine using Python in Google Colab. Explore remote sensing, process geospatial data, create dynamic visualizations, and understand drought indices. Develop skills for environmental monitoring and decision-making without needing local installations.

Ejecicicos en español sobre Jupyter Notebook mediante el paquete de Python, ipyleaflet, y ipywidgets: "geemap", para el mapeo interactivo en Google Earth Engine-GGE, de incendios forestales.

Spatial Data Management with Google Earth Engine

An Earth Engine web app developed using Solara and geemap

A streamlit web app visualizing global surface water datasets.

Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.