Sebastian Preidl

Sebastian Preidl

Scientist
Department of Computational Landscape Ecology
Remote Sensing of Ecosystems (ROSE)

Helmholtz Centre for Environmental Research GmbH - UFZ
Permoserstraße 15 | 04318 Leipzig | Germany

Phone +49 341 235 1887
sebastian.preidl@ufz.de


Research Interests

Remote sensing of vegetation - for a better understanding of plant physiology, ecosystem management and the effects of climate change.

Major topics:

  • Radiative transfer modelling using hyperspectral remote sensing (AISA)
  • Land use classification of crop types and tree species on a large scale using high resolution satellite data (Sentinel-2, RapidEye)

Methods and tools:

  • Model inversion, sensitivity analysis, optimization (PROSAIL, SLC)
  • Machine learning (randomForest, SVR), SVD
  • Main programming language: R
  • High performance computing (HPC)
  • Radiometric/geometric correction of remote sensing data


Projects

Current: Management of an R&D project of the Federal Agency for Nature Conservation (BfN)

  • Title: „Ermittlung naturschutzbezogener Kriterien in der Umweltprüfung der Bedarfsplanung für Stromnetze und in der Bundesfachplanung zur Erhöhung der Planungssicherheit und Verhinderung von Zielkonflikten“
  • Aim: Classification of Germany's forests at tree species level and the development of nature conservation criteria.
Past: PhD candidate in the Environmental Mapping and Analysis Program (EnMAP): A German hyperspectral satellite mission


Academic Background

PhD candidate, UFZ - Department of Computational Landscape Ecology and Humboldt-University, Berlin, Germany

M.Sc., Geography, Christian-Albrechts-University, Kiel, Germany and Canterbury Christ Church University, Canterbury, England

  • Thesis: “The Use of TerraSAR-X Image Texture for Land Cover Mapping in Tropical Peat Swamp Forests (Central Kalimantan, Indonesia)”, Munich, Germany
  • Minors: Geology (Paleo-Climatology), Ocean Circulation and Climate Dynamics (GEOMAR Helmholtz Centre for Ocean Research Kiel), Media Sciences

B.Sc., Geography, Philipps-University, Marburg, Germany