This section covers the data preprocessing steps applied to the InSAR catalogue, ensuring the quality and consistency of the time series before processing them with machine learning algorithms.

Ambiguity Correction

Phase unwrapping and correction techniques.

• Ambiguity Correction - Methods to correct phase ambiguity.

Data Imputation

Techniques for filling gaps in time series.

• Data Imputation - Methods to handle missing data and outliers.