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Exploring of Heterogeneous Earth-Observation Data Archives using Enriched Metadata and Data Mining Tools

Espinoza-Molina, Daniela and Datcu, Mihai (2013) Exploring of Heterogeneous Earth-Observation Data Archives using Enriched Metadata and Data Mining Tools. In: Big Data from Space - Abstract-Book. ESA. Big Data from Space, 5.-6. June 2013, Frascati, Italy.

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Official URL: http://www.congrexprojects.com/docs/default-source/13c10_docs/abstractbook.pdf?sfvrsn=2


Since modern imaging sensors continuously deliver enormous amounts of data. The extensive availability of high and very high resolution images is not only exploding the volumes of acquired data but also brings unavailable image detail, thus fantastically growing the information content. As for example ENVISAT provided measurements of the atmosphere, ocean, land, and ice over 10 years of operations generating a data archive that reaches many petabytes. TerraSAR-X contains an extensive data archive of more than 100,000 scenes covering the majority of the Earth's surface. In 2010, a second, almost identical to TerraSAR-X satellite was launched, the TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement). Since then both satellites started the synchronous data acquisition and completed the first coverage of the Earth's entire landmass within only 13 months. In the coming years, the Sentinels (1-5) will be launched contributing with data for land monitoring, e.g. imagery of vegetation, soil and water cover, inland waterways and coastal areas, etc.

Item URL in elib:https://elib.dlr.de/88978/
Document Type:Conference or Workshop Item (Speech)
Title:Exploring of Heterogeneous Earth-Observation Data Archives using Enriched Metadata and Data Mining Tools
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Journal or Publication Title:Big Data from Space - Abstract-Book
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:EO Data Archives
Event Title:Big Data from Space
Event Location:Frascati, Italy
Event Type:international Conference
Event Dates:5.-6. June 2013
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:06 May 2014 17:37
Last Modified:08 May 2014 23:17

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