Abstract
The papers in this special issue focus on the deployment of Big Data applications for use in remote sensing. This issue is intended to introduce the latest techniques to manage, exploit, process, and analyze big data in remote sensing applications. It contains 11 papers that exhibit the latest advances in Big Data in Remote Sensing. To understand big data, usually three facets should be taken into account from owning data, data methods, and data applications, which contribute together to a single big data life cycle, including identification of applications, data collections, data processing, data analysis, data visualization, data evaluation, and so on.
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