Intelligent Earth Seminar: Christian Igel (Copenhagen)

19 November 15:00
Doctoral Training Centre, 1-4 Keble Rd
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Christein Igel is a professor at DIKU, the Department of Computer Science at the University of Copenhagen. He studied Computer Science at the Technical University of Dortmund, Germany. In 2002 he received his Doctoral degree from the Faculty of Technology, Bielefeld University, Germany, and in 2010, Habilitation degree from the Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany. From 2003 to 2010, He was a Juniorprofessor for Optimization of Adaptive Systems at the Institut für Neuroinformatik, Ruhr-University Bochum. He is the director of the SCIENCE AI centre at the University of Copenhagen and is an ELLIS Fellow.

Machine Learning for Large-Scale Ecosystems Monitoring

Advances in remote sensing technology and machine learning (ML) algorithms have enabled large-scale ecosystem monitoring.  This talk will present several examples of ML applied to optical and LiDAR data from satellites, aircrafts, and drones. It will discuss how ML for ecosystem monitoring can support land degradation assessment (e.g.,  deforestation), contribute to poverty mitigation (e.g., agroforestry), help improve public health (e.g., provide risk assessment of vector-borne diseases), and support climate change mitigation (e.g., assess carbon sequestration).