A query language for multidimensional arrays: design, implementation, and optimization techniques
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A Language for Manipulating Arrays
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Index-based multidimensional array queries: safety and equivalence
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Algebraic manipulation of scientific datasets
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Speeding up Array Query Processing by Just-In-Time Compilation
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Axioms and theorems for a theory of arrays
IBM Journal of Research and Development
Large-Scale earth science services: a case for databases
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
RAM: a multidimensional array DBMS
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Applying WCO ontology to geospatial web coverage services
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies
X3D-EarthBrowser: visualize our earth in your web browser
Proceedings of the 18th International Conference on 3D Web Technology
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In the classical triad of vector, raster, and meta data, it is the raster part which is not yet sufficiently supported in SDIs nowadays. Consequently, integration of earth observation imagery, LIDAR, legacy map scans, etc. into Spatial Data Infrastructures (SDIs) remains incomplete. In terms of standards, the OGC Web Coverage Service (WCS) Standard defines open interfaces for accessing and processing of raster data, more generally: coverages. In August 2010, the completely overhauled WCS 2.0 has been adopted by OGC. To make coverages interchangeable across all OGC-based services, WCS 2.0 has been based on Geography Markup Language (GML) 3.2.1, with a small, backwards compatible addition to achieve informational completeness. In parallel to specification writing, its reference implementation and an online demo are being pursued. WCS 2.0 offers several advantages over previous versions, such as: support for general n-D raster data and non-raster coverage types; crisp, modular, and easy to understand; flexible and adaptive; harmonized with GML and Sensor Web Enablement (SWE); improved testability; and allows for efficient and scalable implementations. In this paper we present WCS 2.0 and some central design rationales. Further, we inspect the reference implementation architecture discussing some features critical for scalability. Finally, we give an outlook on next steps, such as the planned WCS Earth Observation Application Profile.