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ISPRS Int. J. Geo-Inf. 2017, 6(7), 220; doi:10.3390/ijgi6070220

An Array Database Approach for Earth Observation Data Management and Processing

1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS),Wuhan University, Wuhan 430079, China
2
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
3
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 2 June 2017 / Revised: 5 July 2017 / Accepted: 17 July 2017 / Published: 19 July 2017
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Abstract

Over the past few years, Earth Observation (EO) has been continuously generating much spatiotemporal data that serves for societies in resource surveillance, environment protection, and disaster prediction. The proliferation of EO data poses great challenges in current approaches for data management and processing. Nowadays, the Array Database technologies show great promise in managing and processing EO Big Data. This paper suggests storing and processing EO data as multidimensional arrays based on state-of-the-art array database technologies. A multidimensional spatiotemporal array model is proposed for EO data with specific strategies for mapping spatial coordinates to dimensional coordinates in the model transformation. It allows consistent query semantics in databases and improves the in-database computing by adopting unified array models in databases for EO data. Our approach is implemented as an extension to SciDB, an open-source array database. The test shows that it gains much better performance in the computation compared with traditional databases. A forest fire simulation study case is presented to demonstrate how the approach facilitates the EO data management and in-database computation. View Full-Text
Keywords: Earth Observation; multidimensional array; array database; SciDB; Big Data; forest fire simulation Earth Observation; multidimensional array; array database; SciDB; Big Data; forest fire simulation
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Tan, Z.; Yue, P.; Gong, J. An Array Database Approach for Earth Observation Data Management and Processing. ISPRS Int. J. Geo-Inf. 2017, 6, 220.

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