Includes bibliographical references.

This 4th edition of the Big Data from Space conference is directed towards 'Turning Data into Insights'. Indeed, while the first editions of the conference concentrated on technologies and platforms capable of sustaining the sharp increase of data streams originating from space sensors, the development of efficient and effective methodologies and algorithms capable of extracting insights from these data is gradually becoming the main challenge. In this context, artificial intelligence and machine learning techniques have started to play a key role as illustrated by numerous papers of this conference edition. Methodological developments are motivated by the pressing need to extract information on large areas and/or over long time series to better understand the dynamics of the processes that are shaping our planet and indeed our universe in the case of data collected by telescopes. The topic of analysis ready data has also emerged since the last edition and is closely linked with the development of new data cube representations. Big data from space is also introducing some new legal challenges and the need for further developments of standards and interoperable interfaces between the growing number of platforms hosting multi-petabyte scale data co-located with processing capabilities. All these topics as well as other generic key aspects of big data are mirrored in dedicated sections of these proceedings.

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