EO Lab

The Earth Observation Lab covers all observational scales, from satellite via airborne remote sensing with drones and micro light aircrafts to ground-truthing with distributed wireless environmental sensor networks.

Remote sensing data can be used for innumerable applications across a variety of academic disciplines. Key applications addressed by the EO-Lab include; precision agriculture, environmental monitoring, terrain modelling, soil analysis, structural health, civil engineering, surveying, and traffic analysis. The EO Lab also has a strong focus on the collection and analysis of ultra-high spatial resolution hyperspectral datasets using Unmanned Aerial Systems in conjunction with Universities’ Drone Lab.

The EO-Lab high-performance computing cluster tackles the following issues of efficient management of large amounts of data, post-processing of hyper- and multispectral data, image processing and analysis, data-mining, feature recognition and extraction as well as machine learning.