From Pixels to Squiggles:Reconciling Hyperspectral Remote Sensing Data
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From Pixels to Squiggles:Reconciling Hyperspectral Remote Sensing Data

By Critical Minerals Challenge Centre
Multiple dates

Overview

Join us on to explore how various surface level imaging and material characterisation techniques can support hyperspectral validation.

Join is on 04 and 05 December for:

From Pixels to Squiggles:Reconciling Hyperspectral Remote Sensing Data – Best available techniques for mine waste and tailings characterisation.

Managing this mine waste in safe, responsible, and socially acceptable ways is becoming an increasing challenge for industry and nations reliant on both the production and consumption of metals and minerals. Remote sensing has potential to aid decision making for mine waste management. Join us to explore how various surface level imaging and material characterisation techniques can support hyperspectral validation, the challenges of integrating multi-source and multi-scale datasets, and how we can urn these data into actionable insights for mine waste rehabilitation and management.

For anyone unfamilar with the University of Exeter Campus, Penryn; we will meet in the Camborne School of Mines Museum at 09:15 before heading to our first location.

Please see the Campus map for details.

Category: Science & Tech, Science

Good to know

Highlights

  • 5 hours 45 minutes
  • In person

Location

Camborne School of Mines, Penryn

University of Exeter

Penryn Campus Penryn TR10 9FE United Kingdom

How do you want to get there?

Agenda

Location: Lecture B, Daphne du Maurier Building

9:30 AM - 11:00 AM

Exploring validating and using hyperspectral data for mine waste management.

Katerina Savinova (UQ), Friederike Koerting (NEO/Hyspex), Eva Marquis (UEx)
11:00 AM - 12:00 PM

CMEH Lab Tour

Frequently asked questions

Organized by

Critical Minerals Challenge Centre

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Free
Multiple dates