Projects per year
Abstract
The technological landscape for managing big Earth observation (EO) data ranges from global solutions on large cloud infrastructures with web-based access to self-hosted implementations. EO data cubes are a leading technology for facilitating big EO data analysis and can be deployed on different spatial scales: local, national, regional, or global. Several EO data cubes with a geographic focus ("local EO data cubes") have been implemented. However, their alignment with the Digital Earth (DE) vision and the benefits and trade-offs in creating and maintaining them ought to be further examined. We investigate local EO data cubes from five perspectives (science, business and industry, government and policy, education, communities and citizens) and illustrate four examples covering three continents at different geographic scales (Swiss Data Cube, semantic EO data cube for Austria, DE Africa, Virginia Data Cube). A local EO data cube can benefit many stakeholders and players but requires several technical developments. These developments include enabling local EO data cubes based on public, global, and cloud-native EO data streaming and interoperability between local EO data cubes. We argue that blurring the dichotomy between global and local aligns with the DE vision to access the world's knowledge and explore information about the planet.
Original language | English |
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Pages (from-to) | 831-859 |
Journal | Big Earth Data |
Volume | 7 |
Issue number | 3 |
DOIs | |
Publication status | Published - 3 Jul 2023 |
Bibliographical note
Publisher Copyright:© 2022 The Author(s). Published by Taylor & Francis Group and Science Press on behalf of the International Society for Digital Earth, supported by the International Research Center of Big Data for Sustainable Development Goals, and CASEarth Strategic Priority Research Programme.
Keywords
- Digital Earth
- Earth Observation data cube
- interoperability
- open data cube
- workflows
Fields of Science and Technology Classification 2012
- 211 Other Technical Sciences
- 107 Other Natural Sciences
Projects
- 3 Finished
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SIMS: Soil sealing identification and monitoring system
Tiede, D. (Principal Investigator), Sudmanns, M. (Co-Investigator), Augustin, H. L. (Co-Investigator) & Strasser, T. (Co-Investigator)
1/09/21 → 31/05/23
Project: Research
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SemantiX: A cross-sensor semantic EO data cube to open and leverage essential climate variables with scientists and the public
Tiede, D. (Principal Investigator), Sudmanns, M. (Co-Investigator) & Augustin, H. L. (Co-Investigator)
1/08/20 → 31/12/22
Project: Research
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Sen2Cube.at: Sentinel-2 Semantic Data Cube Austria
Tiede, D. (Principal Investigator) & Sudmanns, M. (Co-Investigator)
2/07/18 → 31/07/20
Project: Research