Dr G. Amatulli presents ‘Big Data meets Geo-Computation’ @University of Texas, Austin – Info

Screenshot from 2016-04-04 23:12:10

The development of the coding of all projects were carried on at Yale University. Each single point cluster identifies a project and each point in the cluster represents a scripting procedure.

In recent years there has been an explosion of geo-datasets derived from an increasing number of remote sensors, field instruments, sensor networks, and other GPS-equipped “smart” devices. “Big Data” processing requires flexible tools that combine efficient processing, either on your local pc or on remote servers (e.g, clusters – HPCs). However, leveraging these new data streams requires new tools and increasingly complex workflows often involving multiple software and/or programming languages. This also the case for GIS and Remote Sensing analysis where statistical/mathematical algorithms are implemented in complex geospatial workflows. I will show few examples of environmental applications where I combine different open-source geo-libraries for a massive computation at NASA Earth Exchange (NEX) Platform.

The animation has been produced by Gource with the following code line:

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