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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, 2017-11-28 - 2017-11-30, Toulouse, France.

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Abstract

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
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Volkmann, RouvenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Strobl, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Twele, AndreUNSPECIFIEDhttps://orcid.org/0000-0002-8035-2625UNSPECIFIED
Heinen, TorstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Reck, ChristophUNSPECIFIEDhttps://orcid.org/0000-0002-4300-4920UNSPECIFIED
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 SCOPUS:No
In ISI Web of Science:No
Status:Published
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 Start Date:28 November 2017
Event End Date:30 November 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 - Earth Observation
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:24 Apr 2024 20:20

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