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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Bibliographic Details
Published inThe Semantic Web: ESWC 2014 Satellite Events pp. 444 - 449
Main Authors Nikolaou, C., Kyzirakos, K., Bereta, K., Dogani, K., Giannakopoulou, S., Smeros, P., Garbis, G., Koubarakis, M., Molina, D. E., Dumitru, O. C., Schwarz, G., Datcu, M.
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Complex Query
Geospatial Data
Semantic Annotation
Synthetic Aperture Radar
Synthetic Aperture Radar Image
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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.
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