Andreas Rønne Stokholm

Andreas Rønne Stokholm is a Postdoctoral Researcher at DTU Space, the National Space Institute of the Technical University of Denmark, specializing in the Department of Space Research and Technology with focus areas in Geodesy and Earth Observation. He previously completed his Ph.D. at the same institution in 2024 and served as a Visiting Researcher at the European Space Agency's (ESA) ϕ-lab, where he contributed to innovative research combining AI with satellite data for Earth monitoring.

His research interests center on applying artificial intelligence to Earth observation data, particularly for sea ice mapping in the Arctic. He focuses on developing automated systems using satellite data from Synthetic Aperture Radar (SAR) to replace manual sea ice charting processes. His work has significant implications for maritime navigation safety in polar regions and enabling Northern Trade Routes through improved ice monitoring. He specializes in machine learning applications for cryosphere studies, quantum technology applications in gravimetry, and dynamic sensor systems for atmospheric phenomena.

Stokholm actively contributes to multiple research projects including greenhouse gas emission monitoring using satellite remote sensing and multi-approach methane emissions monitoring for the solid waste sector, where he serves as a supervisor for Ph.D. students. His research aligns with UN Sustainable Development Goals related to climate action and life below water.

As part of his professional activities, Stokholm collaborates with international research teams across Europe and has contributed to significant datasets including Aurora DVS observations. His work bridges the gap between advanced computing, satellite technology, and practical applications for societal benefit in polar regions and climate monitoring.