• Research Areas

    • Remote Sensing
    • Machine Learning for spatial and environmental data
  • CV


    PhD Student, Geography - Environmental Informatics - University of Marburg
    M.Sc. Physical Geography, University of Marburg
    B.Sc. Environmental Science, University of Koblenz-Landau


    Research Assistant - Remote Sensing and Spatial Modelling, Institute of Landscape Ecology, WWU Münster
    Research Assistant, Nature 4.0, University of Marburg
  • Teaching

  • Publications

    • Ludwig, Marvin; Moreno-Martinez, Alvaro; Hölzel, Norbert; Pebesma, Edzer; Meyer, Hanna. . ‘Assessing and improving the transferability of current global spatial prediction models.’ Global Ecology and Biogeography 00: 1–13. doi: https://doi.org/10.1111/geb.13635.

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

    • Hess B, Dreber N, Liu Y, Wiegand K, Ludwig M, Meyer H, Meyer KM. . ‘PioLaG: a piosphere landscape generator for savanna rangeland modelling.’ Landscape Ecology 35, No. 9: 2061–2082. doi: 10.1007/s10980-020-01066-w.
    • Ludwig M, M. Runge C, Friess N, Koch TL, Richter S, Seyfried S, Wraase L, Lobo A, Sebastià M, Reudenbach C, Nauss T. . ‘Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics.’ Remote Sensing 12, No. 22: 3831. doi: 10.3390/rs12223831.

    • Ludwig M, Morgenthal T, Detsch F, Higginbottom TP, Lezama Valdes M, Nauß T, 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.
    • Gottwald J, Zeidler R, Friess N, Ludwig M, Reudenbach C, Nauss T. . ‘Introduction of an automatic and open‐source radio‐tracking system for small animals.’ Methods in Ecology and Evolution 10, No. 12: 2163–2172. doi: 10.1111/2041-210X.13294.