Federated and reusable processing of Earth observation data
Abstract The unprecedented and continuously growing volume of Earth Observation (EO) and geospatial data has necessitated a paradigm change where compute is collocated with the data archives in public clouds. However, as no single cloud platform can host all of this data, federated processing soluti...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04513-y |
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| _version_ | 1832571980721684480 |
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| author | Matthias Mohr Edzer Pebesma Jeroen Dries Stefaan Lippens Bram Janssen Daniel Thiex Grega Milcinski Benjamin Schumacher Christian Briese Michele Claus Alexander Jacob Paulo Sacramento Patrick Griffiths |
| author_facet | Matthias Mohr Edzer Pebesma Jeroen Dries Stefaan Lippens Bram Janssen Daniel Thiex Grega Milcinski Benjamin Schumacher Christian Briese Michele Claus Alexander Jacob Paulo Sacramento Patrick Griffiths |
| author_sort | Matthias Mohr |
| collection | DOAJ |
| description | Abstract The unprecedented and continuously growing volume of Earth Observation (EO) and geospatial data has necessitated a paradigm change where compute is collocated with the data archives in public clouds. However, as no single cloud platform can host all of this data, federated processing solutions that work across multiple cloud platforms are becoming increasingly relevant. A community-based approach to federated processing has started using openEO, a common Application Programming Interface (API) and set of well-defined processes that simplifies reuse and provides a valuable level of abstraction when handling large EO data volumes. We present key concepts for federated processing and related interoperability aspects based on openEO Platform, a federated public cloud platform. |
| format | Article |
| id | doaj-art-15a015d4ab65495fa771e6529665a224 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-15a015d4ab65495fa771e6529665a2242025-02-02T12:08:15ZengNature PortfolioScientific Data2052-44632025-02-0112111310.1038/s41597-025-04513-yFederated and reusable processing of Earth observation dataMatthias Mohr0Edzer Pebesma1Jeroen Dries2Stefaan Lippens3Bram Janssen4Daniel Thiex5Grega Milcinski6Benjamin Schumacher7Christian Briese8Michele Claus9Alexander Jacob10Paulo Sacramento11Patrick Griffiths12University of Münster, Institute for GeoinformaticsUniversity of Münster, Institute for GeoinformaticsVITO NVVITO NVVITO NVSinergiseSinergiseEODC GmbHEODC GmbHEurac ResearchEurac ResearchSolenix Engineering ItaliaEuropean Space Agency, Earth Observation Programmes, ESRINAbstract The unprecedented and continuously growing volume of Earth Observation (EO) and geospatial data has necessitated a paradigm change where compute is collocated with the data archives in public clouds. However, as no single cloud platform can host all of this data, federated processing solutions that work across multiple cloud platforms are becoming increasingly relevant. A community-based approach to federated processing has started using openEO, a common Application Programming Interface (API) and set of well-defined processes that simplifies reuse and provides a valuable level of abstraction when handling large EO data volumes. We present key concepts for federated processing and related interoperability aspects based on openEO Platform, a federated public cloud platform.https://doi.org/10.1038/s41597-025-04513-y |
| spellingShingle | Matthias Mohr Edzer Pebesma Jeroen Dries Stefaan Lippens Bram Janssen Daniel Thiex Grega Milcinski Benjamin Schumacher Christian Briese Michele Claus Alexander Jacob Paulo Sacramento Patrick Griffiths Federated and reusable processing of Earth observation data Scientific Data |
| title | Federated and reusable processing of Earth observation data |
| title_full | Federated and reusable processing of Earth observation data |
| title_fullStr | Federated and reusable processing of Earth observation data |
| title_full_unstemmed | Federated and reusable processing of Earth observation data |
| title_short | Federated and reusable processing of Earth observation data |
| title_sort | federated and reusable processing of earth observation data |
| url | https://doi.org/10.1038/s41597-025-04513-y |
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