Extending Ogc Standards For Supporting Big-Earth Data Retrieval And Analytics

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)(2019)

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Abstract
With the fast evolution and spread of remote sensing technologies, Earth data gets gathered in unprecedented rates, and despite the increasing capabilities of computing and telecommunication infrastructures, put heavy stress on traditional approaches for their description, discovery, access and processing. Size vastly increases not only by the quantity and density of sensor arrays but also by the finer granularity of their sensing capacities. Furthermore, data being gathered from a wide range of sensor setups, require rich descriptive metadata in order to provide sufficient background information for their discovery and processing, metadata in turn becoming "big" on their own too. All those factors result on large combinations of data and metadata that need to be processed in combination before the data consumer gets a targeted result, often requiring substantial computational time or data access time even on large infrastructures. In this paper, building on existing OGC standards we present extensions that can provide them with declarative processing and asynchronous results delivery capabilities suitable for the new era.
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Key words
OGC Standards, Geospatial Data Processing, Semi-structured Metadata, Asynchronous Operations
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