REALTIME PLANETARY-SCALE DATACUBE FUSION

<p>The datacube model has rapidly gained acceptance as a cornerstone for analysis-ready data, and also the corresponding service model which is more powerful, but easier to use than existing API-based interfaces. Mature and widely adopted datacube standards show the way how datacube functional...

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Main Author: P. Baumann
Format: Article
Language:English
Published: Copernicus Publications 2020-02-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/15/2020/isprs-archives-XLII-3-W11-15-2020.pdf
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author P. Baumann
author_facet P. Baumann
author_sort P. Baumann
collection DOAJ
description <p>The datacube model has rapidly gained acceptance as a cornerstone for analysis-ready data, and also the corresponding service model which is more powerful, but easier to use than existing API-based interfaces. Mature and widely adopted datacube standards show the way how datacube functionality can be presented to clients, be they human or m2m connections. Specifically, the OGC Coverage Implementation Schema (CIS) data model and the Web Coverage Service (WCS) service model suite define a framework adopted by the main opensource as well as proprietary tools, including MapServer, GeoServer, GDAL, QGIS, ArcGIS, and python/OWSlib.</p><p>In this contribution we present federation methods implemented in the rasdaman datacube engine which is accepted technology leader, standards driver, and reference implementation for datacubes.</p><p>In summary, rasdaman allows federated processing of declarative queries whereby complete location transparency is given: any federation member can receive the query, and the federation will dynamically orchestrate each query individually for optimized processing.</p>
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spelling doaj.art-f42d1aa898154e1494be8ca2e53c5d912022-12-21T22:58:44ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-02-01XLII-3-W11151610.5194/isprs-archives-XLII-3-W11-15-2020REALTIME PLANETARY-SCALE DATACUBE FUSIONP. Baumann0Jacobs University, Bremen, Germany<p>The datacube model has rapidly gained acceptance as a cornerstone for analysis-ready data, and also the corresponding service model which is more powerful, but easier to use than existing API-based interfaces. Mature and widely adopted datacube standards show the way how datacube functionality can be presented to clients, be they human or m2m connections. Specifically, the OGC Coverage Implementation Schema (CIS) data model and the Web Coverage Service (WCS) service model suite define a framework adopted by the main opensource as well as proprietary tools, including MapServer, GeoServer, GDAL, QGIS, ArcGIS, and python/OWSlib.</p><p>In this contribution we present federation methods implemented in the rasdaman datacube engine which is accepted technology leader, standards driver, and reference implementation for datacubes.</p><p>In summary, rasdaman allows federated processing of declarative queries whereby complete location transparency is given: any federation member can receive the query, and the federation will dynamically orchestrate each query individually for optimized processing.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/15/2020/isprs-archives-XLII-3-W11-15-2020.pdf
spellingShingle P. Baumann
REALTIME PLANETARY-SCALE DATACUBE FUSION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title REALTIME PLANETARY-SCALE DATACUBE FUSION
title_full REALTIME PLANETARY-SCALE DATACUBE FUSION
title_fullStr REALTIME PLANETARY-SCALE DATACUBE FUSION
title_full_unstemmed REALTIME PLANETARY-SCALE DATACUBE FUSION
title_short REALTIME PLANETARY-SCALE DATACUBE FUSION
title_sort realtime planetary scale datacube fusion
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/15/2020/isprs-archives-XLII-3-W11-15-2020.pdf
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