Develops methods that indirectly measure and evaluate reflectance, morphology and vegetation on the earth’s surface. The used sensors can be applied from different distances and platforms, such as satellites, airplanes or drones. The main goal is to extract geologically relevant ­para­meters for a fast assessment of natural resources.

Provides integrated acquisition schemes, validation approaches and processing routines for ground- and drone-based multi-sensor remote sensing techniques to support exploration and mining activities. Workflows are being extended to incorporate innovations regarding sensors and machine-learning techniques.

The group´s focus is on novel, non-invasive exploration methods for single crystal characterization up to drill-core logging by using optical, spectroscopy-based sensors, e.g. laser-induced fluorescence. New or optimized sensors and sensor integration are being developed in collaboration with partners from industry.

In the context of exploration the group focuses on the development of fast and automatic approaches that can explore a variety of geological data following innovative methods with the purpose of learning from themselves for the final identification and classification of the relevant mineralogical accumulations.