Data analytics is the last step in remote sensing processing to analyze data and interpret the results. Analytics can unveil trends and aspects that would otherwise be lost in the mass of information. This knowledge can be used for predictions and managerial practices. However, if not processed correctly, data analytics might result in misleading conclusions. In the following, the most common problems and methods are discussed.

6.3.1. Multicollinearity

6.3.2. Feature engineering and feature selection

6.3.3.Data mining