Publishing China satellite data on the GEOSS Platform
ABSTRACTThis paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS); it is a brokering infr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-04-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2022.2107420 |
| _version_ | 1797814084944527360 |
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| author | Roberto Roncella Lianchong Zhang Enrico Boldrini Mattia Santoro Paolo Mazzetti Stefano Nativi |
| author_facet | Roberto Roncella Lianchong Zhang Enrico Boldrini Mattia Santoro Paolo Mazzetti Stefano Nativi |
| author_sort | Roberto Roncella |
| collection | DOAJ |
| description | ABSTRACTThis paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS); it is a brokering infrastructure that presently brokers more than 190 autonomous data catalogs and information systems. The paper analyses the China Satellite datasets and describes the data publishing process from China GEOSS Data Provider to the GEOSS Platform considering both administrative registration as well as the technical registration. The China Satellite datasets are considered as one of the most important satellite data shared by the GEOSS Platform. The analysis provides some insights as well about GEOSS user searches for China Satellite datasets. |
| first_indexed | 2024-03-13T08:02:20Z |
| format | Article |
| id | doaj.art-8cc13bae6902489a8c022789aa9cec55 |
| institution | Directory Open Access Journal |
| issn | 2096-4471 2574-5417 |
| language | English |
| last_indexed | 2024-03-13T08:02:20Z |
| publishDate | 2023-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Big Earth Data |
| spelling | doaj.art-8cc13bae6902489a8c022789aa9cec552023-06-01T12:20:44ZengTaylor & Francis GroupBig Earth Data2096-44712574-54172023-04-017239841210.1080/20964471.2022.2107420Publishing China satellite data on the GEOSS PlatformRoberto Roncella0Lianchong Zhang1Enrico Boldrini2Mattia Santoro3Paolo Mazzetti4Stefano Nativi5National Research Council of Italy – Institute of Atmospheric Pollution Research, Division of Florence, Florence, ItalyAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Research Council of Italy – Institute of Atmospheric Pollution Research, Division of Florence, Florence, ItalyNational Research Council of Italy – Institute of Atmospheric Pollution Research, Division of Florence, Florence, ItalyNational Research Council of Italy – Institute of Atmospheric Pollution Research, Division of Florence, Florence, ItalyNational Research Council of Italy – Institute of Atmospheric Pollution Research, Division of Florence, Florence, ItalyABSTRACTThis paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS); it is a brokering infrastructure that presently brokers more than 190 autonomous data catalogs and information systems. The paper analyses the China Satellite datasets and describes the data publishing process from China GEOSS Data Provider to the GEOSS Platform considering both administrative registration as well as the technical registration. The China Satellite datasets are considered as one of the most important satellite data shared by the GEOSS Platform. The analysis provides some insights as well about GEOSS user searches for China Satellite datasets.https://www.tandfonline.com/doi/10.1080/20964471.2022.2107420GEOSSdata interoperabilitydata sharingsatellite dataEarth observation |
| spellingShingle | Roberto Roncella Lianchong Zhang Enrico Boldrini Mattia Santoro Paolo Mazzetti Stefano Nativi Publishing China satellite data on the GEOSS Platform Big Earth Data GEOSS data interoperability data sharing satellite data Earth observation |
| title | Publishing China satellite data on the GEOSS Platform |
| title_full | Publishing China satellite data on the GEOSS Platform |
| title_fullStr | Publishing China satellite data on the GEOSS Platform |
| title_full_unstemmed | Publishing China satellite data on the GEOSS Platform |
| title_short | Publishing China satellite data on the GEOSS Platform |
| title_sort | publishing china satellite data on the geoss platform |
| topic | GEOSS data interoperability data sharing satellite data Earth observation |
| url | https://www.tandfonline.com/doi/10.1080/20964471.2022.2107420 |
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