Earth Observation and Geoinformation Science Lab

Christina Hellmann
Christina Hellmann has been working on her PhD since December 2022 as part of the project "ReWetSpec - Development of Hyperspectral Indicators for Monitoring Fen Re-wetting", funded by the German Space Agency at DLR. Part of this project is to map typical peatland plant communities along a moisture gradient using hyperspectral satellite data (mainly EnMAP) and to investigate inter- and intra-annual spectral changes. The study area is located in Mecklenburg-Western Pomerania, northeastern Germany.
She completed her Master's degree in Landscape Ecology and Nature Conservation at the University of Greifswald in 2022. As part of her master's thesis, she worked on biomass modeling of cattail (Typha spec.) with multitemporal and multispectral drone data on an area rewetted for paludiculture.
| Since 2025 | Research assistant, DUENE e.V., in the project EO4Nature |
| Since 2022 | PhD student |
| 2019 – 2022 | Master of Science, Landscape Ecology and Nature Conservation, University of Greifswald |
| 2015 – 2019 | Bachelor of Science, Biology and Geography, University of Hildesheim |
Publications
- Hellmann, C., Bobertz, B., Hübner, F., Köhn, N., Kreyling, J., & van der Linden, S. (2024). Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data. Mires and Peat, 31(18), 1–20. https://doi.org/10.19189/MaP.2023.CM.Sc.2455998