Vlad Merticariu

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Since array data of arbitrary dimensionality appears in massive amounts in a wide range of application domains, such as geographic information systems, climate simulations, and medical imaging, it has become crucial to build scalable systems for complex query answering in real time. Cloud architectures can be expected to significantly speed up array(More)
Spatio-temporal grid data form a core structure in Earth and Space sciences alike. While Array Databases have set out to support this information category they only offer integer indexing, corresponding to equidistant grids. However, often grids in reality have irregular structures, such as raw satellite swath data. We present an approach to modeling(More)
Flexible, scalable services on massive geo data receive much attention today. In particular, the OGC Web Coverage Service (WCS) standards suite has established a best practice for versatile access and retrieval on spatio-temporal "Big Data". Fewer efforts have been devoted, though, to an easy-to-use, standardized way of maintaining a service's offering. Our(More)
Modern sensors, such as hyperspectral cameras, deliver massive amounts of data. On board of satellites, the high volume is paired with low bandwidth and part-time availability, during overpasses. This leads to well-known availability problems and bottlenecks in today's remote sensing. We address this challenge by enhancing the on-board system with flexible(More)
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