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High-Performance Online Data Access for Collaborative Infrastructures

Reck, Christoph and Campuzano, Gina and Dengler, Klaus and Heinen, Torsten (2015) High-Performance Online Data Access for Collaborative Infrastructures. PV 2015 Conference, 2015-11-03 - 2015-11-05, Darmstadt, Germany.

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Abstract

The value of Earth Observation data is increased by accessibility. For huge datasets, as those accumulated over years or from the new era of Sentinel satellites, new data access and exploitation mechanisms need to be devised. We propose to place huge series of data products on online disks in parallel and distributed file systems and provide novel access mechanisms based on existing standards. The system shall additionally enable retrieval of historical data from the archive. The services also provide all interfaces from “Discovery” over “Visualization” to “Download” for users with novel clients.

Item URL in elib:https://elib.dlr.de/100193/
Document Type:Conference or Workshop Item (Poster)
Title:High-Performance Online Data Access for Collaborative Infrastructures
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Reck, ChristophUNSPECIFIEDhttps://orcid.org/0000-0002-4300-4920UNSPECIFIED
Campuzano, GinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dengler, KlausUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heinen, TorstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:4 November 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:OGC, Online Data Access, Sentinel
Event Title:PV 2015 Conference
Event Location:Darmstadt, Germany
Event Type:international Conference
Event Start Date:3 November 2015
Event End Date:5 November 2015
Organizer:EUMETSAT
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Informationstechnische Systeme für die Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Information Technology
Deposited By: Reck, Christoph
Deposited On:07 Dec 2015 14:11
Last Modified:24 Apr 2024 20:05

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