Big, Linked and Open Data: Applications in the German Aerospace Center
Earth Observation satellites acquire huge volumes of high resolution images continuously increasing the size of the archives and the variety of EO products. However, only a small part of this data is exploited. In this paper, we present how we take advantage of the TerraSAR-X images of the German Ae...
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Published in | The Semantic Web: ESWC 2014 Satellite Events pp. 444 - 449 |
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Main Authors | , , , , , , , , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | Earth Observation satellites acquire huge volumes of high resolution images continuously increasing the size of the archives and the variety of EO products. However, only a small part of this data is exploited. In this paper, we present how we take advantage of the TerraSAR-X images of the German Aerospace Center in order to build applications on top of EO data. |
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Bibliography: | This work was funded by the FP7 projects TELEIOS (257662) and LEO (611141). |
ISBN: | 9783319119540 3319119540 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-11955-7_64 |