Publikationen
- Steen, Jan, Becker, Hannah, Hölzel, Norbert, Meyer, Hanna, und Ludwig, Marvin. . „Potential of unoccupied aerial systems for habitat monitoring: A systematic review.“ Ecological Informatics 99. doi: 10.1016/j.ecoinf.2026.104108.
- 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, und Kattenborn, T. . „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, und Schumacher, F. . „The CAST Package for Training and Assessment of Spatial Prediction Models.“ In R Coding for Ecology, Use R!, herausgegeben von D Rocchini. Cham: Springer Nature. doi: 10.1007/978-3-031-99665-8_11.
- Linnenbrink, J, Nowosad, J, und Meyer, H. . „Moving beyond spatial and random cross-validation in environmental modelling: a call for prediction-domain adaptive evaluation.“ Preprint. arXiv doi: 10.48550/arXiv.2605.13689.
- Nowosad, Jakub, Bonannella, Carmelo, Görgen, Darius, Jemeljanova, Marta, Kattenborn, Teja, Linnenbrink, Jan, Meyer, Hanna, Nussbaum, Madlene, Patelli, Luca, Simoes, Rolf, und Uuemaa, Evelyn. . „Navigating challenges in spatial machine learning: Validation, uncertainty, algorithms, and reproducibility.“ Preprint. Erdkunde. doi: 10.3112/erdkunde.2026.04.01.
- Haas, Bettina, Baumberger, Maiken, Müller, Mona, Schweers, Julian, Hülsmann, Lisa, Lehndorff, Eva, Meyer, Hanna, und Meyer, Nele. . „Regional spatial and vertical patterns of SOC stocks in a low mountain landscape in Germany.“ Geoderma Regional 2026: e01102–e01102. doi: 10.1016/j.geodrs.2026.e01102.
- Baumberger, Maiken, Haas, Bettina, Borken, Werner, Nowosad, Jakub, Giese, Laura, Klein-Raufhake, Theresa, Hamer, Ute, Meyer, Nele, und Meyer, Hanna. . „How the landscape influences soil respiration: Explaining spatio-temporal patterns with interpretable machine learning.“ Geoderma 472: 117904–117904. doi: 10.1016/j.geoderma.2026.117904.
- Linnenbrink, Jan, Nowosad, Jakub, Ludwig, Marvin, Jablotschkin, Anna Frederike, Schumacher, Fabian, Kattenborn, Teja, und Meyer, Hanna. . „STeMP: Spatio-Temporal Modelling Protocol.“ Preprint. arXiv
- Draga, M, Gałka, M, Knorr, KH, Glatzel, S, Chojnicki, BH, Fritz, C, Jassey, VEJ, Juszczak, R, Meyer, H, Robroek, BJM, Thomas, CL, und Lamentowicz, M. . „Long-Term Ecological Baselines and Critical Thresholds in Ombrotrophic Peatlands of Europe: Implications for Restoration Strategies.“ Global Change Biology 31 (12): e70629–e70629. doi: 10.1111/gcb.70629.
- Pernat, Nadja, Buchholz, Sascha, Kriegs, Jan Ole, Steen, Jan, und Hollens-Kuhr, Hilke. . „Moving north under the eye of the public: the dispersal ecology of the Nosferatu spider, documented by citizen scientists.“ Basic and Applied Ecology 84: 40–49. doi: 10.1016/j.baae.2025.02.002.
- Baumberger, M, Haas, B, Tewes, W, Risse, B, Meyer, N, und Meyer, H. . „Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity.“ Environmental Modelling and Software 183: 106245–106245. doi: 10.1016/j.envsoft.2024.106245.
- Giese, L, Baumberger, M, Ludwig, M, Schneidereit, H, Sánchez, E, Robroek, BJ, Lamentowicz, M, Lehmann, J, Hölzel, N, Knorr, K, und Meyer, H. . „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, und Meyer, H. . „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.
- Krämer, Alina, Meyer, Hanna, und Buchholz, Sascha. . „Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit—An Analysis Based on Citizen Science Data and Machine Learning.“ Journal of Biogeography 52 e15099. doi: 10.1111/jbi.15099.
- Dietenberger, S, Mueller, MM, Stöcker, B, Dubois, C, Arlaud, H, Adam, M, Hese, S, Meyer, H, und Thiel, C. . „Accurate Mapping of Downed Deadwood in a Dense Deciduous Forest Using UAV-SfM Data and Deep Learning.“ Remote Sensing 17 (9). doi: 10.3390/rs17091610.
- Milà, C, Ludwig, M, Pebesma, E, Tonne, C, und Meyer, H. . „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, und Meyer, H. . „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, und Meyer, H. . „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, und Frieß, N. . „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, und Worthington, Thomas A. . „Soil carbon in the world’s tidal marshes.“ Nature Communications 15 10265. doi: 10.1038/s41467-024-54572-9.
- Datta, R, Katurji, M, Nielsen, E, Meyer, H, Zawar-Reza, P, und Valdes, ML. . „The Winter Foehn Footprint Across McMurdo Dry Valleys of Antarctica Using a Satellite-Derived Data Set-AntAir v1.0.“ Journal of Geophysical Research: Atmospheres 129 (23): e2023JD039300.. doi: 10.1029/2023JD039300.
- Karwinkel, Thiemo, Winklhofer, Michael, Allenstein, Dario, Brust, Vera, Christoph, Paula, Holland, Richard, Hüppop, Ommo, Steen, Jan, Franz, Bairlein, und Schmaljohann, Heiko. . „A refined magnetic pulse treatment method for magnetic navigation experiments with adequate sham control: a case study on free-flying songbirds.“ Journal of the Royal Society Interface 21 (214). doi: 10.1098/rsif.2023.0745.
- Ludwig, M, Moreno-Martinez, A, Hölzel, N, Pebesma, E, und Meyer, H. . „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, und Nauss, T. . „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.
- Nielsen, EB, Katurji, M, Zawar-Reza, P, und Meyer, H. . „Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature.“ Scientific data 10 (1): 833–833. doi: 10.1038/s41597-023-02720-z.
- Mila, C, Mateu, J, Pebesma, E, und Meyer, H. . „Nearest neighbour distance matching leave-one-out cross-validation for map validation.“ Methods in Ecology and Evolution 13: 1304–1316. doi: 10.1111/2041-210X.13851.
- Meyer, H, und Pebesma, E. . „Machine learning-based global maps of ecological variables and the challenge of assessing them.“ Nature Communications 13. doi: 10.1038/s41467-022-29838-9.
- Ziegler, A, Meyer, H, Otte, I, Peters, MK, Appelhans, T, Behler, C, Böhning-Gaese, K, Classen, A, Detsch, F, Deckert, J, Eardley, CD, Ferger, SW, Fischer, M, Gebert, F, Haas, M, Helbig-Bonitz, M, Hemp, A, Hemp, C, Kakengi, V, Mayr, AV, Ngereza, C, Reudenbach, C, Röder, J, Rutten, G, Schellenberger Costa, D, Schleuning, M, Ssymank, A, Steffan-Dewenter, I, Tardanico, J, Tschapka, M, Vollstädt, MGR, Wöllauer, S, Zhang, J, Brandl, R, und Nauss, T. . „Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro.“ Remote Sensing 14 (3): 786. doi: 10.3390/rs14030786.
- Ludwig, M, Bahlmann, J, Pebesma, E, und Meyer, H. . „Developing Transferable Spatial Prediction Models: a Case Study of Satellite Based Landcover Mapping.“ Beitrag präsentiert auf der ISPRS, Nice doi: 10.5194/isprs-archives-XLIII-B3-2022-135-2022.
- Kleinewillinghöfer, L, Olofsson, P, Pebesma, E, Meyer, H, Buck, O, Haub, C, und Eiselt, B. . „Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data.“ Remote Sensing 14 (19): 4903. doi: 10.3390/rs14194903.
- Lehmann, JRK, Prior, MD, Paula, LFA, Azevedo, L, Porembski, S, Buttschardt, TK, und Solar, R. . „Using drone imagery to upscale estimates of water capacity in tank bromeliads on steep neotropical inselbergs.“ Austral Ecology 47 (2): 196–202. doi: 10.1111/aec.13113.
- Lezama Valdes, M, Katurji, M, und Meyer, H. . „A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data.“ Remote Sensing 13 (22). doi: 10.3390/rs13224673.
- Baumberger, M, Breuer, B, Lai, Y-J, Gabyshev, D, und Klemm, O. . „Bidirectional Turbulent Fluxes of Fog at a Subtropical Montane Cloud Forest Covering a Wide Size Range of Droplets.“ Boundary-Layer Meteorology 2021. doi: 10.1007/s10546-021-00654-w.
- Petermann, E, Meyer, H, Nussbaum, M, und Bossew, P. . „Mapping the geogenic radon potential for Germany by machine learning.“ Science of the Total Environment 754: 142291.. doi: 10.1016/j.scitotenv.2020.142291.
- Meyer, H, und Pebesma, E. . „Predicting into unknown space? Estimating the area of applicability of spatial prediction models.“ Methods in Ecology and Evolution 12: 1620–1633. doi: 10.1111/2041-210X.13650.
- Meyer, H, und Pebesma, E. . „Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data.“ In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS doi: 10.1109/IGARSS47720.2021.9553999.
- Durán, J, Rodríguez, A, Heiðmarsson, S, Lehmann, JRK, Mora, Á, Garrido-Benavent, I, und Ríos, A. . „Cryptogamic cover determines soil attributes and functioning in polar terrestrial ecosystems.“ Science of the Total Environment 762: 143169–143169. doi: 10.1016/j.scitotenv.2020.143169.
- Oldeland, J, Revermann, R, Luther-Mosebach, J, Buttschardt, T, und Lehmann, JRK. . „New tools for old problems — comparing drone- and field-based assessments of a problematic plant species.“ Environmental Monitoring and Assessment 193 (2): 90–90. doi: 10.1007/s10661-021-08852-2.
- Schumacher, B, Katurji, M, Meyer, H, Appelhans, T, Otte, I, und Nauss, T. . „Atmospheric moisture pathways of East Africa and implications for water recycling at Mount Kilimanjaro.“ International Journal of Climatology 2020. doi: 10.1002/joc.6468.
- Hess, B, Dreber, N, Liu, Y, Wiegand, K, Ludwig, M, Meyer, H, und Meyer, KM. . „PioLaG: a piosphere landscape generator for savanna rangeland modelling.“ Landscape Ecology 35 (9): 2061–2082. doi: 10.1007/s10980-020-01066-w.
- Meyer, H, Schmidt, J, Detsch, F, und Nauss, T. . „Hourly gridded air temperatures of South Africa derived from MSG SEVIRI.“ International Journal of Applied Earth Observation and Geoinformation 78: 261–267. doi: 10.1016/j.jag.2019.02.006.
- Lehnert, LW, Meyer, H, Obermeier, WA, Silva, B, Regeling, B, und Bendix, J. . „Hyperspectral Data Analysis in R: The hsdar Package.“ Journal of Statistical Software 89 (12). doi: 10.18637/jss.v089.i12.
- Lezama, Valdes M, Katurji, M, und Meyer, H. . „Downscaling Land Surface Temperature for the Antarctic Dry Valleys using Multi-Sensor Data and Machine Learning.“ In Geophysical Research Abstracts
- Meyer, H, Reudenbach, C, Wöllauer, S, und Nauss, T. . „Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction.“ Ecological Modelling 411: 108815.. doi: 10.1016/j.ecolmodel.2019.108815.
- Ludwig, M, Morgenthal, T, Detsch, F, Higginbottom, TP, Lezama Valdes, M, Nauß, T, und Meyer, H. . „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.
- Carl, C, Lehmann, JRK, Landgraf, D, und Pretzsch, H. . „Robinia pseudoacacia L. in short rotation coppice: Seed and stump shoot reproduction as well as UAS-based spreading analysis.“ Forests 10 (3): 235–235. doi: 10.3390/f10030235.
- Teickner, H, Lehmann, JRK, Guth, P, Meinking, F, und Ott, D. . „Recognize the little ones: Uas-based in-situ fluorescent tracer detection.“ Drones 3 (1): 20–20. doi: 10.3390/drones3010020.
- Lehmann, JRK, Prinz, T, Ziller, SR, Thiele, J, Heringer, G, Meira-Neto, JAA, und Buttschardt, TK. . „Open-source processing and analysis of aerial imagery acquired with a low-cost Unmanned Aerial System to support invasive plant management.“ Frontiers in Environmental Science 5. doi: 10.3389/fenvs.2017.00044.
- Lehmann, JRK, Münchberger, W, Knoth, C, Blodau, C, Nieberding, F, Prinz, T, Pancotto, VA, und Kleinebecker, T. . „High-resolution classification of south patagonian peat bog microforms reveals potential gaps in up-scaled CH4 fluxes by use of Unmanned Aerial System (UAS) and CIR imagery.“ Remote Sensing 8 (3): 173–173. doi: 10.3390/rs8030173.
- Grabski-Kieron, U, Buttschardt, TK, Foerste, r J, Böhmichen, J, und Lehmann, JRK. . Naturschutz und Biologische Vielfalt, Grenzüberschreitender Biotopverbund - Handlungsansätze und Herausforderungen für Planung und Naturschutzpraxis Münster: Landwirtschaftsverlag.
- Lehmann, JRK, Nieberding, F, Prinz, T, und Knoth, C. . „Analysis of unmanned aerial system-based CIR images in forestry-a new perspective to monitor pest infestation levels.“ Forests 6 (3): 594–612. doi: 10.3390/f6030594.
- Lehmann, JRK, Große-Stoltenberg, A, Römer, M, und Oldeland, J. . „Field spectroscopy in the VNIR-SWIR region to discriminate between mediterranean native plants and exotic-invasive shrubs based on leaf tannin content.“ Remote Sensing 7 (2): 1225–1241. doi: 10.3390/rs70201225.
- Lehmann, JRK, Smithson, KZ, und Prinz, T. . „Making the invisible visible: using UAS-based high-resolution color-infrared imagery to identify buried medieval monastery walls.“ Journal of Unmanned Vehicle Systems 3 (2): 58–67. doi: 10.1139/juvs-2014-0017.