Google Earth Engine Python API Examples

A collection of Jupyter Notebooks for Google Earth Engine Python API.

You have to change the code in authorize_ee.ipynb to make it run. Unfortunately this changed with the new version of the GEE Python API. I'll fix it as soon as I have time for it.

Note: If you are interested in more tutorials or code snippets for Google Earth Engine Python API, feel free to write me an email to [email protected].

Jupyter Notebook Tutorials for Google Earth Engine

001 Landcover Classfication for Landsat 8 TOA imagery

Classification Example for Landsat 8 including several vegetation indices and object feature extraction. Eventually you can't access the training data. In case you are interested in the training data, feel free to contact me.

002 Tasseled Cap Transformation for Landsat 8 TOA imagery

Tasseled Cap Transformation for Landsat 8 TOA imagery based on the scientfic work "Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance" by M.Baigab, L.Zhang, T.Shuai & Q.Tong (2014).

003 Display Proba-V NDVI Imagery

Display Proba-V NDVI (Normalized Difference Vegetation Index) Imagery.

004 Display Proba-V Time-Series

Display Proba-V NDVI Time-Series using Pandas and Matplotlib.

005 Basic Proba-V Time-Series Analysis

Basic Proba-V NDVI Time-Series Analysis, including auto correlation, fast fourier transformation and outlier detection.