Dr. Marvin Ludwig

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: https://doi.org/10.1016/j.rse.2025.115027.

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.

2024

• Meyer, H, Ludwig, M, Milà, C, Linnenbrink, J, and Schumacher, F. 2024. “The CAST package for training and assessment of spatial prediction models in R.” Preprint. arXiv doi: 10.48550/arXiv.2404.06978.
• Milà, C, Ludwig, M, Pebesma, E, Tonne, C, and Meyer, H. 2024. “Random forests with spatial proxies for environmental modelling: opportunities and pitfalls.” Preprint. 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.
• Schumacher, F, Knoth, C, Ludwig, M, and Meyer, H. 2024. “Estimation of local training data point densities to support the assessment of spatial prediction uncertainty.” Preprint. EGUsphere doi: 10.5194/egusphere-2024-2730.
• 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.