Open source tools for imagery analysis and machine learning are breaking down barriers between traditional remote sensing and computer vision—creating a new landscape for spatial analysis. A lot has changed in this area, but business opportunities that leverage these new technologies and domain relationships remain constrained by availability and cost of high-resolution data. In response, DigitalGlobe developed the Geospatial Big Data Platform (GBDX) to bring your algorithms to the data (at scale on the cloud) and run them without purchasing or downloading the imagery.
This training session will provide a thorough introduction to DigitalGlobe’s Geospatial Big Data Platform and some hands-on experience. Before we’re done, we will:
• See semi-automated interface-driven examples that do not require prior knowledge in software development
• Load and run an open source algorithm on GBDX, giving you the skills needed to add your own algorithms to the analysis ecosystem
• Create a custom analysis using open source tools, combine that analysis with other algorithms in the GBDX ecosystem, and create an information product from imagery using the platform