Jens Kern, M.Sc. Jens Kern

Jens Kern, M.Sc.

  • PhD student

Curriculum Vitae

Since 05/2017

Research Associate at the Institute of Photogrammetry and Remote Sensing (IPF) of the Karlsruhe Institute of Technology (KIT)

05/2014 – 12/2016

Master of Science in Geodesy and Geoinformatics at the KIT

Focus: Computer Vision, Spaciotemporal Metrology and Process Monitoring

Masterthesis: „Development of a Projector-Based Augmented-Reality-System.“

10/2010 – 04/2014

Bachelor of Science in Geodesy and Geoinformatics at the KIT

Research Interests

  • Hyperspectral Remote Sensing
  • Estimation of biophysical parameters
  • Sensorfusion and calibration
  • UAV based sensor systems



Automatic UAV-borne Monitoring of Inland Waters with Hyperspectral Sensors. PhD dissertation
Kern, J.
2024, May 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170832
Sustainable management of reservoirs - defining minimum data needs and model complexity
Fuchs, S.; Hilgert, S.; Sotiri, K.; Wagner, A.; Ishikawa, M.; Kern, J.; Jirka, S.; Klassen, I.; Krumm, J.; Malewski, C.; Rohr, H.; Pakzad, K.
2019. GRoW- Water as a Global Resource, Status Seminar 2019, Frankfurt. MuDak-WRM: Multidisciplinary data acquisition as key for a globally applicable water resource management, 12–15, adelphi
A Multi-Modal System for Monitoring of Water quality - Setup and First Results from Passauna Reservoir
Kern, J.; Schenk, A.
2019. Anais do XIX Simpósio Brasileiro de Sensoriamento Remoto, 3157–3160, INPE
Radiometric Calibration of a UAV-Mounted Hyperspectral Snapshot Camera with Focus on Uniform Spectral Sampling
Kern, J.; Schenk, A.; Hinz, S.
2018. 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Amsterdam, NL, September 23-26, 2018, Article No.8747027, IEEE Computer Society. doi:10.1109/WHISPERS.2018.8747027
Projector-Based Augmented Reality for Quality Inspection of Scanned Objects
Kern, J.; Weinmann, M.; Wursthorn, S.
2017. The international archives of photogrammetry, remote sensing and spatial information sciences, IV-2/W4, 83–90. doi:10.5194/isprs-annals-IV-2-W4-83-2017