Maintainer:

• Cesar Aybar Camacho < [email protected] >
• Roy Yali Samaniego < [email protected] >

Welcome!

The course "EEwPython" is a series of Jupyter notebook (colabs) to learn Google Earth Engine (GEE) with python. EEwPython is structured in two parts. The first one is an adaptation from all Google Earth Engine Documentation to be able to run in python, and the second one is a recompilation of different reproducible examples. If you want to contribute with EEwPython, do not doubt to keep in touch with us. All the material is released under the Apache 2.0 license.

• 1. Developer's Guide
• 2. Image
• 3. ImageCollection
• 4. Geometry, Feature & FeatureCollections
• 5. Reducer
• 6. Joins
• 7. Chart
• 8. Array
• 9. Specialized Algorithms
• 10. Export data

• 1. Climate Change - CMIP5 (plotly + GEE)
• 2. Crop Area estimation in Camana Valley using a Deep Neural Network (tensorflow)
• 3. U-Net + EarthEngine