Dorian Gorgan, Victor Bacu, Constantin Nandra
Technical University of Cluj-Napoca
Romania
Title: WorDeL Language – Tutorial on flexible description of Earth Observation Data Processing
Biography
Biography: Dorian Gorgan, Victor Bacu, Constantin Nandra
Abstract
The main issues of Big Data in Earth Observation (EO) domain are the volume and velocity of data acquired by an increasing number of aerial and space-borne sensors, but as well the complexity of data mining process. The sheer volume and acquisition rates may threaten to overwhelm many organizational storage capabilities, leading to situations in which data value is overtaken by storage costs, which will, in turn, lead to loss of data. Data can create value only when it is used, and the data protection has to be oriented toward allowing innovation that sometimes depends on creative people, which achieve unexpected valuable results through a flexible and adaptive manner. The users need to describe and experiment themselves different complex algorithms through analytics in order to valorize data. The analytics uses descriptive and predictive models to gain valuable knowledge and information from data analysis. This tutorial aims to exemplify some of the main features of WorDeL (Workflow Description Language), and demonstrate their usage in defining Earth Data processing tasks. The WorDeL language is based on the flexible description of processing tasks as workflows, composed of basic processing operators. With this approach, the language offers an intuitive way of representing processing tasks, without requiring programming expertise from its users. It also allows its users to employ and integrate existing functionality into their design, thereby reducing the complexity and development effort of newly defined processing workflows.
