Computer Vision, Graphics, and Image Processing
PODS '93 Proceedings of the twelfth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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
Query processing techniques for arrays
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
Management of multidimensional discrete data
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
A Language for Manipulating Arrays
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Database Array Algebra for Spatio-Temporal Data and Beyond
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Efficient Execution of Operations in a DBMS for Multidimensional Arrays
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Mooshka: a system for the management of multidimensional gene expression data in situ
Information Systems - Special issue: Data management in bioinformatics
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
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
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A large part of sensor, image, and statistics data in the Earth Sciences naturally come as data points aligned to regular grids of some dimension, including 1-D time series, 2-D imagery, 3-D image time series and volumetric data, and 4-D spatio-temporal data. Frequently repositories have to host objects of multi-Terabyte size, in the future multi-Petabytes. Serving this information category, large multi-dimensional arrays, is a task of increasing importance among the Earth Sciences. Still, however, ad-hoc implementations with focused functionality prevail which lack the flexibility of SQL-enabled databases. The Web Coverage Processing Service (WCPS) geo raster model and language allows navigation, extraction, and ad-hoc analysis on multi-dimensional geoscientific raster data which can be geo-referenced or not. The request language has been designed to offer some key properties considered advantageous by the database community: it is formalized, declarative, data independent, optimizable, and safe in evaluation. WCPS has been adopted as an international standard by the Open GeoSpatial Consortium (OGC) in December 2008. The reference implementation is almost finished. Actually, the embedding into the modular framework of the OGC geo service standards has posed particular con straints which the design had to respect. We discuss conceptual model, query language, and the context using real-life use case scenarios.