Dr. Marvin Ludwig

Remote Sensing and Spatial Modelling Research Group
Institute of Landscape Ecology
Heisenbergstr. 2, D-48149 Münster
room 540
phone +49(0)251-83 30 050
fax +49(0)251-83 38 338
e-mail marvin.ludwig [at] uni-muenster.de
Github https://github.com/Ludwigm6

office hours on appointment

Research Foci

Remote Sensing in Ecology
Machine Learning for spatial and environmental data

Academic Education

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

Positions

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

Teaching

Winter Term 2026/27

Practice: GIS in der Landschaftsökologie - Kurs B [146702]
- [13^th Oct 2026 – 2^nd Feb 2027 | Tue, 4.00 p. m. – 6.00 p. m. | weekly | StudLab GEO1 126]
Practice: Ü Analyse und Visualisierung ökologischer Daten in R [146669]
- [15^th Oct 2026 – 4^th Feb 2027 | Thu, 12.00 p. m. – 2.00 p. m. | weekly | StudLab GEO1 130]

Summer Term 2026

Seminar: S Mensch-Umwelt-Beziehung B [144851]
- [16^th Apr – 23^rd Jul 2026 | Thu, 12.00 p. m. – 2.00 p. m. | weekly]
Practice: Ü Fernerkundungsmethoden in der Landschaftsökologie B [144819]
- [13^th Apr – 20^th Jul 2026 | Mon, 2.00 p. m. – 4.00 p. m. | weekly | StudLab GEO1 126]
Practice: GIS in der Landschaftsökologie [144859]
(in cooperation with Hanna Meyer)
- [Mon – Fri | ad hoc]

Winter Term 2025/26

Summer Term 2025

Projects

Ready for Take-Off!? - Integration der drohnengestützten Fernerkundung in das Monitoring von Offenland-FHH-Lebensraumtypen (2025 – 2028)
Individual Granted Project: Deutsche Bundesstiftung Umwelt | Project Number: 38652/01 - 34/0
Sensorlök - Aufbau eines Sensornetzwerks zur landschaftsökologischen Dauerbeobachtung (2025 – 2026)
Own Resources Project

Publications

2026

Mosig, C, Vajna-Jehle, J, Mahecha, MD, Cheng, Y, Hartmann, H, Montero, D, Junttila, S, Horion, S, Schwenke, MB, Koontz, MJ, Maulud, KNA, Adu-Bredu, S, Al-Halbouni, D, Ali, M, Allen, M, Altman, J, Amorós, L, Angiolini, C, Astrup, R, Awada, H, Barrasso, C, Bartholomeus, H, Beck, PS, Bozzini, A, Braun-Wimmer, J, Brede, B, Breunig, FM, Brugnaro, S, Buras, A, Burchard-Levine, V, Camarero, JJ, Candotti, A, Capuder, L, Carrieri, E, Centritto, M, Chirici, G, Cloutier, M, Conciani, D, Cushman, K, Dalling, JW, Dao, PD, Dempewolf, J, Denter, M, Dogotari, M, Díaz-Delgado, R, Ecke, S, Eichel, J, Eltner, A, Fabbri, A, Fabi, M, Fassnacht, F, Ferreira, MP, Fischer, FJ, Frey, J, Frick, A, Fuentes, J, Ganz, S, Garbarino, M, García, M, Gassilloud, M, Gazol, A, Gea-Izquierdo, G, Gerberding, K, Ghasemi, M, Giannetti, F, Gillan, J, Gonzalez, R, Gosper, C, Greene, T, Greinwald, K, Grieve, S, Große-Stoltenberg, A, Gutierrez, JA, Göritz, A, Hajek, P, Hedding, D, Hempel, J, Heremans, S, Hernández, M, Heurich, M, Honkavaara, E, Höfle, B, Jackisch, R, Jucker, T, Kalwij, JM, Kepfer-Rojas, S, Khatri-Chhetri, P, Kleinebecker, T, Klemmt, H, Klouček, T, Koivumäki, N, Kolagani, N, Komárek, J, Korznikov, K, Kraszewski, B, Kruse, S, Krüger, R, Kuechly, H, Kwong, IH, Laliberté, E, Langan, L, Latifi, H, Leal-Medina, C, Lehmann, JR, Li, L, Lines, E, Lisiewicz, M, Lopatin, J, Lucieer, A, Ludwig, A, Ludwig, M, Lyytikäinen-Saarenmaa, P, Ma, Q, Mansuy, N, Peña, JM, Marino, G, Maroschek, M, Martín, M, Martín-Benito, D, Matham, P, Mazzoni, S, Meloni, F, Menzel, A, Meyer, H, Miraki, M, Moreno, G, Moreno-Fernández, D, Muller-Landau, HC, Mälicke, M, Möhring, J, Müllerova, J, Naidu, SS, Nardi, D, Neumeier, P, Nita, MD, Näsi, R, Oppgenoorth, L, Orunbaev, S, Palmer, M, Paul, T, Pfenning, M, Potts, A, Prasanna, GL, Prober, S, Puliti, S, Pérez-Luque, AJ, Pérez-Priego, O, Reudenbach, C, Revuelto, J, Rivas-Torres, G, Roberge, P, Roggero, PP, Rossi, C, Ruehr, NK, Ruiz-Benito, P, Runge, CM, Satta, GGA, Scanu, B, Scherer-Lorenzen, M, Schiefer, F, Schiller, C, Schladebach, J, Schmehl, M, Schmid, J, Schmidt, TA, Schwarz, S, Seidl, R, Seifert, T, Barba, AS, Shafeian, E, Shapiro, A, {de, Simone} L, Sohrabi, H, Soltani, S, Sotomayor, L, Sparrow, B, Steer, BS, Stenson, M, Stöckigt, B, Su, Y, Suomalainen, J, Tamudo, E, Barbieri, MJT, Tomelleri, E, Torresani, M, Trepekli, K, Ullah, S, Ullah, S, Umlauft, J, Vargas-Ramírez, N, Vatandaslar, C, Visacki, V, Volpi, M, Vásquez, V, Wallis, C, Weinstein, B, Weiser, H, Wich, S, Ximena, TC, Zarco-Tejada, PJ, Zdunic, K, Zielewska-Büttner, K, {de, Oliveira} RA, {van, Wagtendonk} L, {von, Dosky} V, and Kattenborn, T. 2026. “deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics.” Remote Sensing of Environment 332: 115027–115027. doi: 10.1016/j.rse.2025.115027.
Meyer, H, Ludwig, M, Milà, C, Linnenbrink, J, and Schumacher, F. 2026. “The CAST Package for Training and Assessment of Spatial Prediction Models.” in R Coding for Ecology, Use R!, edited by D Rocchini. Cham: Springer Nature. doi: 10.1007/978-3-031-99665-8_11.
Linnenbrink, Jan, Nowosad, Jakub, Ludwig, Marvin, Jablotschkin, AnnaFrederike, Schumacher, Fabian, Kattenborn, Teja, and Meyer, Hanna. 2026. “STeMP: Spatio-Temporal Modelling Protocol.” Preprint. arXiv

2025

Giese, L, Baumberger, M, Ludwig, M, Schneidereit, H, Sánchez, E, Robroek, BJ, Lamentowicz, M, Lehmann, J, Hölzel, N, Knorr, K, and Meyer, H. 2025. “Recent trends in moisture conditions across European peatlands.” Remote Sensing Applications: Society and Environment 37: 101385–101385. doi: 10.1016/j.rsase.2024.101385.
Schumacher, F, Knoth, C, Ludwig, M, and Meyer, H. 2025. “Estimation of local training data point densities to support the assessment of spatial prediction uncertainty.” Geoscientific Model Development 18: 10185–10202. doi: 10.5194/gmd-18-10185-2025.

2024

Milà, C, Ludwig, M, Pebesma, E, Tonne, C, and Meyer, H. 2024. “Random forests with spatial proxies for environmental modelling: opportunities and pitfalls.” Geoscientific Model Development 2024 (17): 6007–603. doi: 10.5194/gmd-17-6007-2024.
Linnenbrink, J, Milà, C, Ludwig, M, and Meyer, H. 2024. “kNNDM CV: k-fold nearest-neighbour distance matching cross-validation for map accuracy estimation.” Geoscientific Model Development 17 (15): 5897–5912. doi: 10.5194/gmd-17-5897-2024.
Baumberger, M, Haas, B, Sivakumar, S, Ludwig, M, Meyer, N, and Meyer, H. 2024. “High-resolution soil temperature and soil moisture patterns in space, depth and time: An interpretable machine learning modelling approach.” Geoderma 451: 117049–117049. doi: 10.1016/j.geoderma.2024.117049.
Bald, L, Ziegler, A, Gottwald, J, Koch, TL, Ludwig, M, Meyer, H, Wöllauer, S, Zeuss, D, and Frieß, N. 2024. “Leveraging heterogeneous LiDAR data to model successional stages at tree species level in temperate forests.” Environmental Data Science 3: e24–e24. doi: 10.1017/eds.2024.31.
Maxwell, Tania L., Spalding, Mark D., Friess, Daniel A., Murray, Nicholas J., Rogers, Kerrylee, Rovai, Andre S., Smart, Lindsey S., Weilguny, Lukas, Adame, Maria Fernanda, Adams, Janine B., Austin, William E. N., Copertino, Margareth S., Cott, Grace M., Duarte De Paula Costa, Micheli, Holmquist, James R., Ladd, Cai J. T., Lovelock, Catherine E., Ludwig, Marvin, Moritsch, Monica M., Navarro, Alejandro, Raw, Jacqueline L., Ruiz-Fernández, Ana-Carolina, Serrano, Oscar, Smeaton, Craig, Van De Broek, Marijn, Windham-Myers, Lisamarie, Landis, Emily, and Worthington, Thomas A. 2024. “Soil carbon in the world’s tidal marshes.” Nature Communications 15 10265. doi: 10.1038/s41467-024-54572-9.

2023

Ludwig, M, Moreno-Martinez, A, Hölzel, N, Pebesma, E, and Meyer, H. 2023. “Assessing and improving the transferability of current global spatial prediction models.” Global Ecology and Biogeography 00: 1–13. doi: 10.1111/geb.13635.
Ziegler, A, Heisig, J, Ludwig, M, Reudenbach, C, Meyer, H, and Nauss, T. 2023. “Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index.” Environmental Research Letters 18 (7). doi: 10.1088/1748-9326/acde8f.

2022

Ludwig, M, Bahlmann, J, Pebesma, E, and Meyer, H. 2022. “Developing Transferable Spatial Prediction Models: a Case Study of Satellite Based Landcover Mapping.” contribution to the ISPRS, Nice doi: 10.5194/isprs-archives-XLIII-B3-2022-135-2022.

2020

Hess, B, Dreber, N, Liu, Y, Wiegand, K, Ludwig, M, Meyer, H, and Meyer, KM. 2020. “PioLaG: a piosphere landscape generator for savanna rangeland modelling.” Landscape Ecology 35 (9): 2061–2082. doi: 10.1007/s10980-020-01066-w.
Ludwig, M, Mestre Runge, C, Friess, N, Koch, TL, Richter, S, Seyfried, S, Wraase, L, Lobo, A, Sebastià, M, Reudenbach, C, and Nauss, T. 2020. “Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics.” Remote Sensing 12 (22): 3831.. doi: 10.3390/rs12223831.

2019

Ludwig, M, Morgenthal, T, Detsch, F, Higginbottom, TP, Lezama Valdes, M, Nauß, T, and Meyer, H. 2019. “Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa.” Remote Sensing of Environment 222: 195–203. doi: 10.1016/j.rse.2018.12.019.
Gottwald, J, Zeidler, R, Friess, N, Ludwig, M, Reudenbach, C, and Nauss, T. 2019. “Introduction of an automatic and open‐source radio‐tracking system for small animals.” Methods in Ecology and Evolution 10 (12): 2163–2172. doi: 10.1111/2041-210X.13294.