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3 Classification and Linear Regression in the GEE

The following chapters will deal with different Classification and Regression Methods as well as their application in the Google Earth Engine.


3.1 Methodical Background

- Land Use / Land Cover (LULC) Classification

- Classification and Regression Trees (CART)-Classifier

- Random Forest-Classifier

- Regression Time Series Trend Analysis


3.2 Classification in the Google Earth Engine

 - Data Preparation

- Creating Training Samples

- Classification and Validation

- Interpretation and Thoughts of Improvement

- Improved Classification


3.3 Linear Regression in the Google Earth Engine


3.4 Self Assessment