Prof. Dr. Hanna Meyer

• machine learning for spatial data
• Optical remote sensing
• Environmental monitoring
• Spatio-temporal modelling

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

Positions

since 10.2019

Full professor for Remote Sensing and Spatial Modelling, Institute of landscape ecology, WWU Münster

01. – 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

Winter Term 2026/27

• Lecture: V Fernerkundung und räumliche Modellierung der Umwelt [146712]
  • [12^th Oct 2026 – 1^st Feb 2027 | Mon, 4.00 p. m. – 6.00 p. m. | weekly | StudLab GEO1 130]
• Seminar: S Aktuelle Themen der Umweltfernerkundung [146714]
  • [13^th Oct 2026 – 2^nd Feb 2027 | Tue, 2.00 p. m. – 4.00 p. m. | weekly | GEO1 513]
• Practical: Ü Fernerkundung und maschinelle Lernverfahren zur flächendeckenden Landschaftserfassung [146713]
  • [16^th Oct 2026 – 5^th Feb 2027 | Fri, 10.00 a. m. – 12.00 p. m. | weekly | StudLab GEO1 130]
• Practical: Tutorium in einer Übung/einem Praktikum [146675]
  • [Mon – Fri | ad hoc]
• Practice: GIS in der Landschaftsökologie - Kurs A [146701]
  • [13^th Oct 2026 – 2^nd Feb 2027 | Tue, 8.00 a. m. – 10.00 a. m. | weekly | StudLab GEO1 125]
• Practice: Ü Räumliche Datenanalyse mit R [146674]
  • [Mon – Fri | ad hoc]
• Colloquium: Graduiertenkolloquium I / II [146672]
  (in cooperation with Sascha Buchholz)
  • [Mon – Fri | ad hoc]
• Project course: P Fernerkundliche Erfassung von Ökosystemen [146670]
  • [Mon – Fri | ad hoc]

Summer Term 2026

• Lecture: Einführung in die Fernerkundungsmethoden in den Geowissenschaften - Vorlesung [144818]
  (in cooperation with Torsten Prinz)
  • [14^th Apr – 21^st Jul 2026 | Tue, 8.00 a. m. – 10.00 a. m. | weekly]
• Practical: Tutorium in einer Übung/einem Praktikum [144829]
  • [Mon – Fri | ad hoc]
• Practice: GIS in der Landschaftsökologie [144859]
  (in cooperation with Marvin Ludwig)
  • [Mon – Fri | ad hoc]
• Practice: Ü Fernerkundungsmethoden in der Landschaftsökologie A [144817]
  • [13^th Apr – 20^th Jul 2026 | Mon, 12.00 p. m. – 2.00 p. m. | weekly | StudLab GEO1 130]
• Practical tutorial: P Fernerkundliche Analyse von Umweltveränderungen in Raum und Zeit [144838]
  • [14^th – 21^st Apr 2026 | Tue, 2.00 p. m. – 4.00 p. m. | weekly | StudLab GEO1 130]
  • [28^th Apr – 21^st Jul 2026 | Tue, 2.00 p. m. – 4.00 p. m. | weekly]
• Excursion: Exk. Fernerkundliches Monitoring im Nationalpark Harz [144839]
  • [Mon – Fri | ad hoc]
• Excursion: Exk. Naturschutzmonitoring durch vernetzte Sensorik im "Marburg Open Forest" [144869]
• Colloquium: 6. ILÖK Graduate Conference [144868]
  (in cooperation with Sascha Buchholz)
  • [Fri, 24^th Jul 2026, 1.00 p. m. – 7.00 p. m. | Single Course]
• Colloquium: Graduiertenkolloquium I [144828]
  (in cooperation with Sascha Buchholz)
  • [Fri, 24^th Jul 2026, 1.00 p. m. – 7.00 p. m. | Single Course]

Winter Term 2025/26

• Lecture: V Fernerkundung und räumliche Modellierung der Umwelt [142711]
• Seminar: S Aktuelle Themen der Umweltfernerkundung [142713]
• Practical: Tutorium in einer Übung/einem Praktikum [142751]
• Practical: Ü Fernerkundung und maschinelle Lernverfahren zur flächendeckenden Landschaftserfassung [142712]
• Practice: Ü Räumliche Datenanalyse mit R [142698]
• Colloquium: Graduiertenkolloquium I / II [142695]
  (in cooperation with Sascha Buchholz)
• Project course: P Fernerkundliche Erfassung von Ökosystemen [142729]

• CRC TRR 391 - A05: Deep learning in space and time (2024 – 2028)
  Subproject in DFG-Joint Project Hosted outside the University of Münster: DFG - Sonderforschungsbereich | Project Number: TRR 391/1, A05
• SPP 1374 - Subproject: Learning from the Exploratories to make prediction beyond them: AI-based mapping and explanation of grassland biodiversity and ecosystem functions for entire landscape units – BEyond (2023 – 2027)
  Subproject in DFG-Joint Project Hosted outside the University of Münster: DFG - Schwerpunktprogramm | Project Number: HO 3830/13-1; ME 5512/4-1
• Quantifying and modelling peat breathing with satellite radar data (2023 – 2027)
  Internally at the University of Münster Funded Project: Universität Münster-interne Förderung - Collaboration Grant for Young Researchers
• Preservation and RecognItion of Spatial patterns using Machine learning – PRISM (2024 – 2026)
  EU-Project Hosted at University the of Münster: EU Horizon Europe - Marie Skłodowska-Curie Actions - Postdoctoral Fellowship | Project Number: 101147446
• Restoring peatlands of the nemoral zone under conditions of varying water supply and quality – ReVersal (2022 – 2025)
  Individual Granted Project: DFG - BiodivERsA (ERA-Net Cofunds) | Project Number: KN 929/26-1; ME 5512/3-1
• Carbon4D: A landscape-scale model of soil organic carbon mineralization in space, depth, and time – Carbon4D (2021 – 2024)
  Individual Granted Project: DFG - Sachbeihilfe/Einzelförderung | Project Number: ME 5512/2-1
• Spatio-temporal transferability of satellite-based AI-models – Uebersat (2021 – 2023)
  Participation in Federally Funded Joint Project: Bundesministerium für Wirtschaft und Energie | Project Number: 50EE2009

• 2026
• 2025
• 2024
• 2023
• 2022
• 2021
• 2020
• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013

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, J, Nowosad, J, and Meyer, H. 2026. “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, and Uuemaa, Evelyn. 2026. “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, and Meyer, Nele. 2026. “Regional spatial and vertical patterns of SOC stocks in a low mountain landscape in Germany.” Preprint. Geoderma Regional: e01102–e01102. doi: 10.1016/j.geodrs.2026.e01102.

2025

• Draga, M, Gałka, M, Knorr, KH, Glatzel, S, Chojnicki, BH, Fritz, C, Jassey, VEJ, Juszczak, R, Meyer, H, Robroek, BJM, Thomas, CL, and Lamentowicz, M. 2025. “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.
• Baumberger, M, Haas, B, Tewes, W, Risse, B, Meyer, N, and Meyer, H. 2025. “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, 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.
• Krämer, A, Meyer, H, and Buchholz, S. 2025. “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, and Thiel, C. 2025. “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.

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.
• Datta, R, Katurji, M, Nielsen, E, Meyer, H, Zawar-Reza, P, and Valdes, ML. 2024. “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.

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.
• Nielsen, EB, Katurji, M, Zawar-Reza, P, and Meyer, H. 2023. “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.

2022

• Mila, C, Mateu, J, Pebesma, E, and Meyer, H. 2022. “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, and Pebesma, E. 2022. “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, and Nauss, T. 2022. “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, 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.
• Kleinewillinghöfer, L, Olofsson, P, Pebesma, E, Meyer, H, Buck, O, Haub, C, and Eiselt, B. 2022. “Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data.” Remote Sensing 14 (19): 4903. doi: 10.3390/rs14194903.

2021

• Lezama Valdes, M, Katurji, M, and Meyer, H. 2021. “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.
• Petermann, E, Meyer, H, Nussbaum, M, and Bossew, P. 2021. “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, and Pebesma, E. 2021. “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, and Pebesma, E. 2021. “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.

2020

• Schumacher, B, Katurji, M, Meyer, H, Appelhans, T, Otte, I, and Nauss, T. 2020. “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, 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.

2019

• Meyer, H, Schmidt, J, Detsch, F, and Nauss, T. 2019. “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, and Bendix, J. 2019. “Hyperspectral Data Analysis in R: The hsdar Package.” Journal of Statistical Software 89 (12). doi: 10.18637/jss.v089.i12.
• Meyer, H, Reudenbach, C, Wöllauer, S, and Nauss, T. 2019. “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, 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.

2018

• Reudenbach, C, and Meyer, H. 2018. uavRst: Unmanned Aerial Vehicle Remote Sensing Tools. R package version 0.5-2.
• Meyer, H, Reudenbach, C, and Nauss, T. 2018. CAST: 'caret' Applications for Spatial-Temporal Models. R package version 0.1.0.
• Meyer, N, Meyer, H, Welp, G, and Amelung, W. 2018. “Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy.” Geoderma 323: 31–40. doi: 10.1016/j.geoderma.2018.02.031.
• Higginbottom, TP, Symeonakis, E, Meyer, H, and Linden, S. 2018. “Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data.” ISPRS Journal of Photogrammetry and Remote Sensing 139: 88–102. doi: 10.1016/j.isprsjprs.2018.02.010.
• Wang, Y, Lehnert, LW, Holzapfel, M, Schultz, R, Heberling, G, Görzen, E, Meyer, H, Seeber, E, Pinkert, S, Ritz, M, Fu, Y, Ansorge, H, Bendix, J, Seifert, B, Miehe, G, Long, R, Yang, Y, and Wesche, K. 2018. “Multiple indicators yield diverging results on grazing degradation and climate controls across Tibetan pastures.” Ecological Indicators 93: 1199–1208. doi: 10.1016/j.ecolind.2018.06.021.
• Meyer, H, Reudenbach, C, Hengl, T, Katurji, M, and Nauss, T. 2018. “Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation.” Environmental Modelling and Software 101: 1–9. doi: 10.1016/j.envsoft.2017.12.001.

2017

• Messenzehl, K, Meyer, H, Otto, J, Hoffmann, T, and Dikau, R. 2017. “Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps) — A multivariate modeling approach.” Geomorphology 287: 29–45. doi: 10.1016/j.geomorph.2016.01.008.
• Meyer, H, Drönner, J, and Nauss, T. 2017. “Satellite-based high-resolution mapping of rainfall over southern Africa.” Atmospheric Measurement Techniques 10 (6): 2009–2019. doi: 10.5194/amt-10-2009-2017.
• Meyer, H, Lehnert, LW, Wang, Y, Reudenbach, C, Nauss, T, and Bendix, J. 2017. “From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: Do we need hyperspectral information?” International Journal of Applied Earth Observation and Geoinformation 55: 21–31. doi: 10.1016/j.jag.2016.10.001.
• Meyer, H, Kühnlein, M, Reudenbach, C, and Nauss, T. 2017. “Revealing the potential of spectral and textural predictor variables in a neural network-based rainfall retrieval technique.” Remote Sensing Letters 8 (7): 647–656. doi: 10.1080/2150704X.2017.1312026.

2016

• Lehnert, LW, Meyer, H, and Bendix, J. 2016. hsdar: Manage, analyse and simulate hyperspectral data in R. R package version 0.5.1.
• Meyer, H, Katurji, M, Appelhans, T, Müller, MU, Nauss, T, Roudier, P, and Zawar-Reza, P. 2016. “Mapping Daily Air Temperature for Antarctica Based on MODIS LST.” Remote Sensing 8 (9). doi: 10.3390/rs8090732.
• Meyer, H, Kühnlein, M, Appelhans, T, and Nauss, T. 2016. “Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals.” Atmospheric Research 169, Part B: 424–433. doi: 10.1016/j.atmosres.2015.09.021.
• Ludwig, A, Meyer, H, and Nauss, T. 2016. “Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa.” International Journal of Applied Earth Observation and Geoinformation 50: 89–94. doi: 10.1016/j.jag.2016.03.003.

2015

• Nauss, T, Meyer, H, Detsch, F, and Appelhans, T. 2015. Manipulating satellite data with satellite. R package version 1.0.0.
• Lehnert, LW, Meyer, H, Wang, Y, Miehe, G, Thies, B, Reudenbach, C, and Bendix, J. 2015. “Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach.” Remote Sensing of Environment 164: 197–207. doi: 10.1016/j.rse.2015.04.020.
• Gasch, CK, Hengl, T, Gräler, B, Meyer, H, Magney, TS, and Brown, DJ. 2015. “Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set.” Spatial Statistics 14, Part A: 70–90.

2014

• Thies, B, Meyer, H, Nauss, T, and Bendix, J. 2014. “Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador.” Journal of Land Use Science 9 (1): 1–33.
• Lehnert, L, Meyer, H, Meyer, N, Reudenbach, C, and Bendix, J. 2014. “A hyperspectral indicator system for rangeland degradation on the Tibetan Plateau: A case study towards spaceborne monitoring.” Ecological Indicators 39: 54–64. doi: 10.1016/j.ecolind.2013.12.005.

2013

• Windhorst, D, Silva, B, Peters, T, Meyer, H, Thies, B, Bendix, J, Frede, H, and Breuer, L. 2013. “Impacts of local land-use change on climate and hydrology.” in Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, Vol. 221 of Ecological Studies, edited by J Bendix, E Beck, A Bräuning, F Makeschin, R Mosandl, S Scheu and W Wilcke. Berlin: Springer. doi: 10.1007/978-3-642-38137-9_20.
• Roos, K, Bendix, J, Curatola, G, Gawlik, J, Gerique, A, Hamer, U, Hildebrandt, P, Knoke, T, Meyer, H, Pohle, P, Potthast, K, Thies, B, Tischer, A, and Beck, E. 2013. “Current provisioning services: pasture development and use, weeds (bracken) and management.” in Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, Vol. 221 of Ecological Studies, edited by J Bendix, E Beck, A Bräuning, F Makeschin, R Mosandl, S Scheu and W Wilcke. Berlin: Springer VDI Verlag. doi: 10.1007/978-3-642-38137-9_15.
• Peters, T, Drobnik, T, Meyer, H, Rankl, M, Richter, M, Rollenbeck, R, Thies, B, and Bendix, J. 2013. “Environmental changes affecting the Andes of Ecuador.” in Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, Vol. 221 of Ecological Studies, edited by J Bendix, E Beck, A Bräuning, F Makeschin, R Mosandl, S Scheu and W Wilcke. Berlin: Springer VDI Verlag. doi: 10.1007/978-3-642-38137-9_2.