Open and scalable analytics of large Earth observation datasets: From scenes to multidimensional arrays using SciDB and GDAL

Volume: 138, Pages: 47 - 56
Published: Apr 1, 2018
Abstract
Earth observation (EO) datasets are commonly provided as collection of scenes, where individual scenes represent a temporal snapshot and cover a particular region on the Earth’s surface. Using these data in complex spatiotemporal modeling becomes difficult as soon as data volumes exceed a certain capacity or analyses include many scenes, which may spatially overlap and may have been recorded at different dates. In order to facilitate analytics...
Paper Details
Title
Open and scalable analytics of large Earth observation datasets: From scenes to multidimensional arrays using SciDB and GDAL
Published Date
Apr 1, 2018
Volume
138
Pages
47 - 56
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