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Serving continuous and global high resolution satellite data -- an example based on Sentinel-2 data

Volkmann, Rouven and Strobl, Christian and Twele, Andre and Heinen, Torsten and Reck, Christoph (2017) Serving continuous and global high resolution satellite data -- an example based on Sentinel-2 data. In: Proceedings of 2017 Conference of Big Data in Space. 2017 Conference on Big Data from Space, 28-30 Nov 2017, Toulouse, France.

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For the Copernicus Data and Exploitation Platform of Germany (CODE-DE) a full resolution imagery service of Sentinel-2 Level-1C data has been developed. Based on the experiences of this project this paper provides a general overview on how OGC-compliant online access services of large earth observation data sets can be implemented. Different means of implementation are compared through criteria such as the performance of the web services, the storage requirements and the processing power needed as well as the quality and flexibility reached. Considerations like projection, transparency, bit depth, formats and compression play a big role in serving the data in a performant way. This work aims to suggest best practices and to assist on which option to choose for which dedicated use case.

Item URL in elib:https://elib.dlr.de/115878/
Document Type:Conference or Workshop Item (Poster)
Title:Serving continuous and global high resolution satellite data -- an example based on Sentinel-2 data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Volkmann, RouvenRouven.Volkmann (at) dlr.deUNSPECIFIED
Strobl, ChristianChristian.Strobl (at) dlr.deUNSPECIFIED
Twele, AndreAndre.Twele (at) dlr.dehttps://orcid.org/0000-0002-8035-2625
Heinen, TorstenTorsten.Heinen (at) dlr.deUNSPECIFIED
Reck, ChristophChristoph.Reck (at) dlr.dehttps://orcid.org/0000-0002-4300-4920
Date:November 2017
Journal or Publication Title:Proceedings of 2017 Conference of Big Data in Space
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Earth Observation data, Web Mapping Service, Web Coverage Service
Event Title:2017 Conference on Big Data from Space
Event Location:Toulouse, France
Event Type:international Conference
Event Dates:28-30 Nov 2017
Organizer:ESA, SatCen, JRC
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 - Payload ground segment
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Information Technology
Deposited By: Volkmann, Rouven
Deposited On:23 Nov 2017 11:43
Last Modified:14 Dec 2017 11:31

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