Recent Talks

Even after a handful of years in the commercial space, off-the-shelf equipment and software for the drone / UAS community remains immature for the needs of investigative geoscience. But the technology is close- several (re)configurations are available to extend current drone tech for use into real-world geoscience applications.

Follow the adventure of a 1000 line-km heavy-lift drone VLF survey in all weather conditions in the northern Yukon and discover the tricks that made it possible.

Today, most companies share a common goal: gain insight from data. From bitcoin to block chain, new buzzwords and acronyms emerge every few months that promise a deeper understanding and a better life. Most ‘AI’ examples that we hear of now- from self-driving cars to facial recognition- seem out of reach but they are really just algorithms running on fast hardware with complicated jargon.

This presentation distills AI into the ‘state of’, and discusses several techniques you can use to investigate your data with real world use cases including: how to fingerprint geochemical patterns, classify raw hyperspectral data, and understand the relationship among geology and geophysics.

Our world isn’t flat- so why are our maps? Learn about MineAR, an app for iOS and Android that enables users to import 2D and 3D GIS data and view in real space. Go beyond virtual and use this professional tool to extend the office into the field; immerse yourself in a world enhanced with your data; no special goggles needed.

Chances are that most GIS professionals and geoscientists use Esri’s ArcGIS software and add-ons in part- likely the majority- of their work. ESRI’s suite of software are familiar to many but built upon limited aspects of GIS, on aging workflows when having a ‘GIS department’ meant hiring users with software licenses to operate a graphical interface. The systems mixes proprietary file formats to back-fill outdated spatial thinking and dozens of new features that attempt to extend its capabilities forward. It was a good run, but it’s time to evolve.

Today, companies have larger datasets, decentralized workplaces, and require fast innovation and analytics. Software engineers are driving solutions in many industries; options also exist for the geospatial community to leverage the power and scalability of the cloud and automation to create GIS pipelines that reduce overhead, enhance innovation and save money.

Let’s examine a modern technology stack that can help you drive GIS of the future.