Summary
This report constitutes a methods compendium for the investigated approaches on Time Series Preparation. A detailed description of the objectives will be provided, followed by an explanation of the methodology and conclusions, as derived by WP 32. It addresses approaches for pre-processing of S-1, S-2, S-3 and Landsat-8 time series, a benchmarking of best suited algorithms and their application in test sites, the development of new methods and implementation of prototype methods for (i) cloud, cloud shadow and snow masking by integrating information over time, (ii) spatio-temporal noise reduction and gap-filling of optical time series, (iii) fusion of S-2/3 time series, (iv) spatio-temporal methods for noise reduction of dense S-1 time series.
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