Seal element of the university of freiburg in the shape of a clover

Selina Ganz

Function

  • Research Associate

Contact

Main interests

  • Detecting biodiversity-relevant forest structures through a broad range of different remote sensing data sets, with the aim of supporting biodiversity monitoring
  • Making our maps accessible to a diverse community, thereby facilitating their utilization in practice, policymaking and research

Short CV

  • Research Associate at Geosense (Department for Sensor-based Geoinformatics) (2023-today)
  • Research Associate at FVA (Forest Research Institute Baden-Württemberg) (2016-2023)
  • Research Assistant at FVA (Forest Research Institute Baden-Württemberg) (2015-2016)
  • M.Sc. Environmental Sciences, University of Freiburg (2013-2016)
  • B.Sc. Applied Biology, Karlsruhe Institute of Technology (KIT) (2011-2013)
  • B.Sc. Technical Biology, University of Stuttgart (2010-2011)

Associated research projects

  • ProQualTools (2016-2019) – Development of approaches to predict wood quality with remote sensing data through the derivation of single tree variables from aerial images and LiDAR data.
  • MoBiTools (2019-today) – Monitoring of biodiversity with tools of remote sensing – Development of remote sensing-based methods to identify biodiversity-relevant forest structures from aerial images, satellite data, terrestrial and aerial LiDAR data as well as from drone data