%0 Conference Paper %1 dlr145824 %A Eberle, Jonas %A Schwinger, Maximilian %A Zwenzner, Hendrik %B Proceedings of the 2021 conference on Big Data from Space %D 2021 %E Soille, Pierre %E Loekken, Sveinung %E Albani, Mirko %I Publications Office of the European Union %K cloud descartes earth_observation hpc processing t_interdisciplinary t_techreport myown %P 89--92 %T Towards Scientific and Interoperable Earth Observation Exploitation Platforms %U https://elib.dlr.de/145824/ %X Earth Observation (EO) exploitation platforms allow users to bring their algorithms and processing components to infrastructures where big EO data collections and compute resources are available. Working on different platforms, interoperability of these needs to be ensured - not only relevant for service specifications, but also for the contents of data inventories and metadata. The interactive development of algorithms and the possibility to share code and data with other users are further feedbacks from scientific users. Additionally, data processing needs to be reproducible and transferable to multiple EO exploitation platforms. In this paper, existing technologies and specifications for data discovery, access, and processing have been analyzed with focus on their usage in two connected cloud infrastructures and related to initial user feedbacks collected from scientists.

@inproceedings{dlr145824, abstract = {Earth Observation (EO) exploitation platforms allow users to bring their algorithms and processing components to infrastructures where big EO data collections and compute resources are available. Working on different platforms, interoperability of these needs to be ensured - not only relevant for service specifications, but also for the contents of data inventories and metadata. The interactive development of algorithms and the possibility to share code and data with other users are further feedbacks from scientific users. Additionally, data processing needs to be reproducible and transferable to multiple EO exploitation platforms. In this paper, existing technologies and specifications for data discovery, access, and processing have been analyzed with focus on their usage in two connected cloud infrastructures and related to initial user feedbacks collected from scientists.}, added-at = {2023-12-20T15:54:59.000+0100}, author = {Eberle, Jonas and Schwinger, Maximilian and Zwenzner, Hendrik}, biburl = {https://www.bibsonomy.org/bibtex/2b31a6168ef8efd5c852b36d78d0e0d5a/max.schwinger}, booktitle = {Proceedings of the 2021 conference on Big Data from Space}, editor = {Soille, Pierre and Loekken, Sveinung and Albani, Mirko}, interhash = {d666f9cdca7c07955ebe01d5c0a65722}, intrahash = {b31a6168ef8efd5c852b36d78d0e0d5a}, keywords = {cloud descartes earth_observation hpc processing t_interdisciplinary t_techreport myown}, month = may, pages = {89--92}, publisher = {Publications Office of the European Union}, timestamp = {2023-12-20T15:54:59.000+0100}, title = {Towards Scientific and Interoperable Earth Observation Exploitation Platforms}, url = {https://elib.dlr.de/145824/}, year = 2021 }