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| Format: | Recurso digital |
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Zenodo
2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.18240523 |
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| _version_ | 1866901542859177984 |
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| author | Glaves, Helen |
| author_facet | Glaves, Helen |
| contents | In situ data is vital for a range of applications such as calibration / validation of satellite-based Earth observations (EO), scientific research, and disaster response efforts. These data are usually direct, ground-based measurements made in specific and often fixed locations, which are likely to be more precise and therefore considered the ground truth . In contrast, satellite-based observations generally provide larger scale systematic coverage of the Earth s surface. Together, in situ and remote sensing data form a complementary suite of observations and measurements that provide a comprehensive and detailed overview of the state of our planet The Group on Earth Observations (GEO), an intergovernmental organization addressing open sharing of data, information and knowledge, has for many years recognized the importance of in situ observations despite the widely held misconception that GEO only handles satellite-based EO data! To emphasize the value of in situ data and address the challenges associated with the highly heterogeneous landscape of ground-based measurements, GEO is launching its Strategy for In Situ Data. This strategy aims to provide a framework for enhancing the sharing and reuse of in situ data, focusing on the full life cycle from acquisition to archiving. It underscores the need for collaboration from the local to the global scale alongside the adoption of common approaches, standards and best practices that are essential for integration, interoperability and reuse of in situ data across different scales, disciplines and domains. Through its In Situ Data Strategy, GEO aims to foster an approach delivering Earth Intelligence for All! |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18240523 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Raising the profile of in situ data within the Group on Earth Observations (GEO): it s not all about satellite-based observations! Glaves, Helen Research Data In situ data is vital for a range of applications such as calibration / validation of satellite-based Earth observations (EO), scientific research, and disaster response efforts. These data are usually direct, ground-based measurements made in specific and often fixed locations, which are likely to be more precise and therefore considered the ground truth . In contrast, satellite-based observations generally provide larger scale systematic coverage of the Earth s surface. Together, in situ and remote sensing data form a complementary suite of observations and measurements that provide a comprehensive and detailed overview of the state of our planet The Group on Earth Observations (GEO), an intergovernmental organization addressing open sharing of data, information and knowledge, has for many years recognized the importance of in situ observations despite the widely held misconception that GEO only handles satellite-based EO data! To emphasize the value of in situ data and address the challenges associated with the highly heterogeneous landscape of ground-based measurements, GEO is launching its Strategy for In Situ Data. This strategy aims to provide a framework for enhancing the sharing and reuse of in situ data, focusing on the full life cycle from acquisition to archiving. It underscores the need for collaboration from the local to the global scale alongside the adoption of common approaches, standards and best practices that are essential for integration, interoperability and reuse of in situ data across different scales, disciplines and domains. Through its In Situ Data Strategy, GEO aims to foster an approach delivering Earth Intelligence for All! |
| title | Raising the profile of in situ data within the Group on Earth Observations (GEO): it s not all about satellite-based observations! |
| topic | Research Data |
| url | https://doi.org/10.5281/zenodo.18240523 |