The goal of this work is not only to provide the community with easily modifiable programs for image collection and batch preprocessing but also to publish a database with prepared images. The process mainly consists of using scripts for collecting and preprocessing operations. In this paper, a workflow for collecting, preprocessing, and preparing Sentinel-1 images to use with DL algorithms is proposed. Moreover, using conventional collection and preprocessing methods is time- and storage-consuming. New techniques such as deep learning (DL) algorithms generally require long sequences of data to perform well however, the complexity of satellite image preprocessing tasks leads to a lack of preprocessed datasets. The satellite image time series are used for several applications such as predictive analysis.
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