# giswqs/earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Repository: https://github.com/giswqs/earthengine-py-notebooks
Canonical: https://ross.abutalabs.com/products/earthengine-py-notebooks
Homepage: https://gishub.org/geemap-notebooks
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: earth-engine, google-earth-engine, gis, remote-sensing, python, notebook, notebook-jupyter, geospatial, tutorials, earthengine
Last push: 2021-03-16T15:05:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2412, "days_push": 1996, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1554, forks 426 (observed 2026-08-28T04:05:02.935254+00:00)

## What it is
A collection of 360+ Jupyter Python notebook examples demonstrating how to use Google Earth Engine with interactive mapping via geemap, folium, and ipyleaflet. It serves as a tutorial resource for geospatial analysis and Earth Engine data visualization in Python.

## Use cases
- learn google earth engine with python
- display earth engine data layers interactively in jupyter
- find example notebooks for remote sensing analysis
- convert qgis earth engine scripts to python notebooks
- visualize satellite imagery in colab
- learn geemap for interactive gis mapping

## When to choose
- you want runnable tutorial notebooks for Google Earth Engine in Python
- you need examples of interactive geospatial mapping in Jupyter or Colab
- you are learning remote sensing workflows with geemap

## When to avoid
- you need a production library rather than example notebooks (use geemap directly)
- you work outside the Google Earth Engine ecosystem
- you need actively updated examples (last release was 2021)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-visualization, geospatial, developer-tools
- domain: data-science, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, google-earth-engine, geemap, remote-sensing, gis, tutorials, interactive-mapping, geospatial, web-server

## Member repositories
- giswqs/earthengine-py-notebooks (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:02.935254+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:05.318325+00:00, confidence not recorded.
  - readme: https://github.com/giswqs/earthengine-py-notebooks (fetched 2026-08-28T04:05:02.935254+00:00, sha 4347b68f0e88)
- Data as of 2026-08-30T08:39:29.467469+00:00.