Insights into CODE-DE – Germany’s Copernicus data and exploitation platform Article Swipe
Tobias Storch
,
Christoph Reck
,
Stefanie Holzwarth
,
Bert Wiegers
,
Nico Mandery
,
Ulrich Raape
,
Christian Strobl
,
Rouven Volkmann
,
Martin Böttcher
,
Andreas Hirner
,
Johanna Senft
,
Nicolae Plesia
,
Thomas Kukuk
,
Stephan Meissl
,
Jens-Rainer Felske
,
Thomas Heege
,
Vanessa Keuck
,
Michael W. Schmidt
,
Helmut Staudenrausch
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1080/20964471.2019.1692297
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1080/20964471.2019.1692297
This article presents and analyses the modular architecture and capabilities of CODE-DE (Copernicus Data and Exploitation Platform – Deutschland, www.code-de.org), the integrated German operational environment for accessing and processing Copernicus data and products, as well as the methodology to establish and operate the system. Since March 2017, CODE-DE has been online with access to Sentinel-1 and Sentinel-2 data, to Sentinel-3 data shortly after this time, and since March 2019 with access to Sentinel-5P data. These products are available and accessed by 1,682 registered users as of March 2019. During this period 654,895 products were downloaded and a global catalogue was continuously updated, featuring a data volume of 814 TByte based on a rolling archive concept supported by a reload mechanism from a long-term archive. Since November 2017, the element for big data processing has been operational, where registered users can process and analyse data themselves specifically assisted by methods for value-added product generation. Utilizing 195,467 core and 696,406 memory hours, 982,948 products of different applications were fully automatically generated in the cloud environment and made available as of March 2019. Special features include an improved visualization of available Sentinel-2 products, which are presented within the catalogue client at full 10 m resolution.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/20964471.2019.1692297
- https://www.tandfonline.com/doi/pdf/10.1080/20964471.2019.1692297?needAccess=true
- OA Status
- gold
- Cited By
- 11
- References
- 24
- Related Works
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- OpenAlex ID
- https://openalex.org/W2992630667
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2992630667Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/20964471.2019.1692297Digital Object Identifier
- Title
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Insights into CODE-DE – Germany’s Copernicus data and exploitation platformWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-10-02Full publication date if available
- Authors
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Tobias Storch, Christoph Reck, Stefanie Holzwarth, Bert Wiegers, Nico Mandery, Ulrich Raape, Christian Strobl, Rouven Volkmann, Martin Böttcher, Andreas Hirner, Johanna Senft, Nicolae Plesia, Thomas Kukuk, Stephan Meissl, Jens-Rainer Felske, Thomas Heege, Vanessa Keuck, Michael W. Schmidt, Helmut StaudenrauschList of authors in order
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https://doi.org/10.1080/20964471.2019.1692297Publisher landing page
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https://www.tandfonline.com/doi/pdf/10.1080/20964471.2019.1692297?needAccess=trueDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.tandfonline.com/doi/pdf/10.1080/20964471.2019.1692297?needAccess=trueDirect OA link when available
- Concepts
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Copernicus, Computer science, Cloud computing, Database, Code (set theory), Big data, Data processing, World Wide Web, Operating system, Programming language, Set (abstract data type), Astronomy, PhysicsTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 3, 2024: 3, 2023: 1, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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24Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.long-term | 122 |
| abstract_inverted_index.mechanism | 119 |
| abstract_inverted_index.presented | 192 |
| abstract_inverted_index.products, | 32, 189 |
| abstract_inverted_index.supported | 115 |
| abstract_inverted_index.Copernicus | 29 |
| abstract_inverted_index.Sentinel-1 | 54 |
| abstract_inverted_index.Sentinel-2 | 56, 188 |
| abstract_inverted_index.Sentinel-3 | 59 |
| abstract_inverted_index.downloaded | 94 |
| abstract_inverted_index.integrated | 21 |
| abstract_inverted_index.processing | 28, 132 |
| abstract_inverted_index.registered | 82, 137 |
| abstract_inverted_index.themselves | 144 |
| abstract_inverted_index.(Copernicus | 12 |
| abstract_inverted_index.Sentinel-5P | 72 |
| abstract_inverted_index.environment | 24, 172 |
| abstract_inverted_index.generation. | 152 |
| abstract_inverted_index.methodology | 37 |
| abstract_inverted_index.operational | 23 |
| abstract_inverted_index.resolution. | 201 |
| abstract_inverted_index.value-added | 150 |
| abstract_inverted_index.Deutschland, | 18 |
| abstract_inverted_index.Exploitation | 15 |
| abstract_inverted_index.applications | 164 |
| abstract_inverted_index.architecture | 7 |
| abstract_inverted_index.capabilities | 9 |
| abstract_inverted_index.continuously | 100 |
| abstract_inverted_index.operational, | 135 |
| abstract_inverted_index.specifically | 145 |
| abstract_inverted_index.automatically | 167 |
| abstract_inverted_index.visualization | 185 |
| abstract_inverted_index.www.code-de.org), | 19 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5056136499 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 19 |
| corresponding_institution_ids | https://openalex.org/I2898391981 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.87245283 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |