Academic Education
2014 - 2018	PhD student at the Philipps Universität Marburg
2010 - 2013	M.Sc. "Environmental Geography - Systems, Processes and Interactions" at the Philipps-Universität Marburg
2007 - 2010	B.Sc. Geography at the Philipps-Universität Marburg
Work Experience
since 10/2019	Full professor for Remote Sensing and Spatial Modelling, Institute of landscape ecology, WWU Münster
01/2019 - 10/2019	Junior professor for Remote Sensing and Image Interpretation, Institute for Geoinformatics, WWU Münster
2013 - 2018	Scientific assistant in the working grouo of environmental Informatics, Philipps- Universität Marburg
2015 - 2016	Guest scientist at the University of Canterbury, New Zealand

The CAST package for training and assessment of spatial prediction models in R Meyer H; Ludwig M; Milà C; Linnenbrink J; Schumacher F (2024) In: arXiv Type of Publication: Research article in digital collection
Random forests with spatial proxies for environmental modelling: opportunities and pitfalls Milà C; Ludwig M; Pebesma E; Tonne C; Meyer H (2024) In: Geoscientific Model Development, 2024(17) Type of Publication: Research article (journal)
kNNDM CV: k-fold nearest-neighbour distance matching cross-validation for map accuracy estimation Linnenbrink J; Milà C; Ludwig M; Meyer H (2024) In: Geoscientific Model Development, 17(15) Type of Publication: Research article (journal)
Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity Baumberger M; Haas B; Tewes W; Risse B; Meyer N; Meyer H (2024) In: Environmental Modelling and Software, 2024 Type of Publication: Research article (journal)
High-resolution soil temperature and soil moisture patterns in space, depth and time: An interpretable machine learning modelling approach Baumberger M; Haas B; Sivakumar S; Ludwig M; Meyer N; Meyer H (2024) In: Geoderma, 451 Type of Publication: Research article (journal)

CRC TRR 391 - A05: Deep learning in space and time Duration: 01/10/2024 - 30/06/2028 \| 1st Funding period Funded by: DFG - Collaborative Research Centre Type of project: Subproject in DFG-joint project hosted outside University of Münster
Preservation and RecognItion of Spatial patterns using Machine learning (PRISM) Duration: 14/08/2024 - 13/08/2026 Funded by: EC Horizon Europe - Marie Skłodowska-Curie Actions - Postdoctoral Fellowship Type of project: EU-project hosted at University of Münster
Quantifying and modelling peat breathing with satellite radar data Duration: 01/08/2023 - 31/07/2027 Funded by: Uni Münster-internal funding - Collaboration Grant for Young Researchers Type of project: Internally at the University of Münster funded project
SPP 1374 - Subproject: Learning from the Exploratories to make prediction beyond them: AI-based mapping and explanation of grassland biodiversity and ecosystem… (BEyond) Duration: 01/08/2023 - 30/07/2026 \| 1st Funding period Funded by: DFG - Priority Programme Type of project: Subproject in DFG-joint project hosted outside University of Münster
ERA-Net Cofund BiodivRestore (Joint Call 2020-2021): Restoring peatlands of the nemoral zone under conditions of varying water supply and quality (ReVersal) Duration: 01/03/2022 - 28/02/2025 Funded by: DFG - BiodivERsA (ERA-Net Cofunds) Type of project: EU-project hosted outside University of Münster

Machine learning-based global maps of ecological variables and the challenge of assessing them Meyer, Hanna (10/05/2022) ELLIS Seminars on Machine Learning for Earth and Climate Sciences, Online Type of talk: scientific talk
Machine learning as a tool to “map the world” ? On remote sensing and predictive modelling for environmental monitoring (Keynote) Meyer, Hanna (04/03/2020) 17th Biodiversity Exploratories Assembly, Wernigerode, Germany Type of talk: scientific talk
Machine learning applications in environmental remote sensing – Moving from data reproduction to spatial prediction Meyer, Hanna (03/02/2020) Workshop: Machine Learning in Earth system science , German Climate Computing Center (DKRZ) Hamburg, Germany Type of talk: scientific talk
Remote sensing and machine learning in landscape ecology - Moving from field observations to maps of ecosystem variables Meyer, Hanna (26/11/2019) Kolloquium Ökologie, Naturschutz, Biodiversität, Philipps Universität Marburg, Marburg, Germany Type of talk: scientific talk
Machine learning applications in environmental remote sensing – Moving from data reproduction to spatial prediction Meyer, Hanna (05/11/2019) The 1st Artificial Intelligence for Copernicus Workshop, ECMWF, Reading, UK Type of talk: scientific talk