Google Earth Engine
Freemium
Planetary-scale geospatial analysis in the cloud — the data catalogue and compute behind modern water remote sensing.
geemap
ActivePython + Google Earth Engine without the pain — interactive mapping and analysis of petabyte-scale water data.
- Pricing
- Open Source
- License
- MIT
- Commercial use
- Permitted
- Ecosystem
- Python, Google Earth Engine, Jupyter
- Platform
- Windows, macOS, Linux
Install
pip install geemapAbout geemap
geemap, by Qiusheng Wu, wraps the Google Earth Engine Python API in an interactive mapping package built for notebooks: browse and query EE's petabytes of satellite data, run analyses (surface-water dynamics, flood extents, ET, snow cover), and export results — with hundreds of tutorial notebooks that have become the de facto EE curriculum.
For water engineers, it is the lowest-friction path to questions like "how has this reservoir's surface area changed since 1990" using JRC Global Surface Water or Landsat directly, no downloads involved.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
Alternatives to geemap
Ranked by the topics, categories and workflow stages they share with geemap.
Microsoft Planetary Computer
Freemium
A STAC API and Jupyter environment over petabytes of satellite data — Sentinel, Landsat, MODIS, ERA5, CHIRPS and more.
JRC Global Surface Water
Gov-Public
Pixel-level surface water history since 1984, built from the entire Landsat archive — where water has been, and when.
Dynamic World
Free
Near-real-time 10m land cover from Google/WRI, updated every Sentinel-2 pass — land cover that keeps up.
RIVIA
Open Source
A modern Python interface for HEC-RAS project parsing, simulation automation, and result visualization.
Sentinel-2
Free
Free 10-20m multispectral imagery, 5-day revisit — the imagery backbone under WorldCover and Dynamic World.