A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

A curated list of Google Earth Engine resources

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

Earth Engine and Geemap: Geospatial Data Science with Python

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

GPX Viewer web app built with Jupyter, ipywidgets, ipyleaflet, bqplot and voila

Google Earth Engine tutorials

Interactive web apps created using leafmap and streamlit

A collection of Earth Engine Apps created using geemap and voila

Python scripts for deploying Earth Engine Apps to heroku

Data cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).

Interactive geemap tutorials on heroku

A Python package for building a tool widgets infrastructure with ipyleaflet and ipywidgets

Leafmap for Jupyterlite

Interactive visualization and data extraction tool for ICESat-2 ATL14/15 Gridded Land Ice Height Products

Interactive Maps in the Jupyter Notebook

Geospatial data-science analysis on reasons behind delay in Grab ride-share services

Data analysis notebooks, algorithms, visualizations

Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare