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Statistics show the volume of Earth Observation (EO) data increases in the exponential level during the past decade. As the new generation computing platform to meet the big data challenge, cloud computing significantly facilitates the large-scale EO data processing depending on its powerful computing capability. In this paper, we propose a Cloud WPS architecture integrating the cloud computing environment...
The rapid increase in the number of aerial and orbital Earth observation systems is generating a huge amount of remote sensing data that need to be readily transformed into useful information for policy and decision makers. This exposes an urgent demand for image interpretation tools that can deal efficiently with very large volumes of data. In this work, we introduce a set of methods that support...
Agro-geoinformatics deals with collecting, managing, analyzing agricultural-related geospatial data, which are domain-specific big data. This paper discusses the general characteristics of big data, the specific features of agro-geoinformatics and agro-geodata, and examples of agro-geoinformatics projects dealing with big agro-geodata. Through the adoption and adaptation process, the general big data...
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