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.
PDF
- Only accessible within DLR
203kB |
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: |
| ||||||||||||||||||||||||
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 |
Repository Staff Only: item control page