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