University of Münster
CRIS@UM
DE | EN

Marvin Ludwig

Current affiliations

  • Professorship of Remote Sensing and Spatial Modelling
Logo ORCIDID
0000-0002-3010-018X

Curriculum Vitae (CV)

  • Remote Sensing in Ecology
  • Machine Learning for spatial and environmental data

Academic Education

2022 - 2023PhD Student, Landscape Ecology - University of Münster
2019 - 2023PhD, Remote sensing and machine learning for multi-scale ecosystem monitoring
2019 - 2022PhD Student, Geography - Environmental Informatics - University of Marburg
2016 - 2018M.Sc. Physical Geography, University of Marburg
2012 - 2016B.Sc. Environmental Science, University of Koblenz-Landau

Work Experience

since 2023PostDoc, Assistant, Remote Sensing and Spatial Modelling, Institute of Landscape Ecology, University of Münster
2021 - 2023Research Assistant - Remote Sensing and Spatial Modelling, Institute of Landscape Ecology, University of Münster
2019 - 2021Research Assistant, Nature 4.0, University of Marburg

Publications

Recent trends in moisture conditions across European peatlands
Giese L; Baumberger M; Ludwig M; Schneidereit H; Sánchez E; Robroek BJ; Lamentowicz M; Lehmann J; Hölzel N; Knorr K; Meyer H (2025)
In: Remote Sensing Applications: Society and Environment, 37, 101385-101385. doi:10.1016/j.rsase.2024.101385
Research article (journal) | Peer reviewed | Published
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
Research article in digital collection | Preprint | Published
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), 6007-603. doi:10.5194/gmd-17-6007-2024
Research article (journal) | Peer reviewed | Published
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), 5897-5912. doi:10.5194/gmd-17-5897-2024
Research article (journal) | Peer reviewed | Published
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, 117049-117049. doi:10.1016/j.geoderma.2024.117049
Research article (journal) | Peer reviewed | Published
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Projects

Ready for Take-Off!? - Integration der drohnengestützten Fernerkundung in das Monitoring von Offenland-FHH-Lebensraumtypen
Duration: 01/04/2025 - 31/03/2028
Funded by: Deutsche Bundesstiftung Umwelt
Type of project: Individual project
Sensorlök - Aufbau eines Sensornetzwerks zur landschaftsökologischen Dauerbeobachtung
Duration: 01/04/2025 - 31/03/2026
Type of project: Own resources project