Welcome to pyeogpr’s documentation!

Python based library to use Earth Observation data to retrieve biophysical maps using Gaussian Process Regression

Features

Access to openEO or Google Earth Engine is required.
Advantages of openEO: Download locally netcdf or tiff format. no uncertainty estimates, smaller areas
Advantages of Google Earth Engine: Export to ee.Assets with Uncertainty estimates, and up to global scale processing.
The package uses satellite observations and machine learning to create vegetation trait maps
Get your maps in a few lines of code: no Machine Learning, coding or remote sensing knowledge needed!
Built in gap filling to avoid cloud cover
Runs “in the cloud” with the GEE/openEO API. No local processing needed.

You can install pyeogpr using pip via the command line:

pip install pyeogpr

Please refer to the documentation to use either GEE or openEO based processing.

Documentation

Satellites and variables