Sebastian Preidl

Sebastian Preidl

Research fellow / Remote Sensing Department (UFZ)

Department Remote Sensing, Helmholtz Centre for Environmental Research - UFZ

I am a research fellow in the working group Land Cover & Dynamics at the Department Remote Sensing of the Helmholtz Centre for Environmental Research - UFZ. For my research I primarily analyse multitemporal, high-resolution, multispectral and hyperspectral remote sensing data. By monitoring the current state and changes in land cover at the level of individual tree species and crop types, I assess plant condition and nature conservation aspects. Methodically, my focus is on machine learning, high performance computing and retrieving plant variables by radiative transfer model inversion.


  • Remote sensing analysis on forests, agricultural land, nature conservation, plant condition
  • Multispectral satellite and hyperspectral airborne remote sensing
  • Land cover classification at species level
  • Radiative transfer modelling
  • Machine learning, high performance computing & big data


  • PhD candidate / Research fellow, 2010

    Helmholtz Centre for Environmental Research - UFZ & Humboldt-University Berlin

  • Diplom/MSc Geography, 2009

    Christian-Albrechts-University Kiel

  • Vordiplom/BSc Geography, 2004

    Philipps-University Marburg

Publications (3)