Johannes Senn

Dr. Johannes Senn

  • Karlsruher Institut für Technologie (KIT)
    Institut für Geographie und Geoökologie
    Kaiserstr. 12
    76131 Karlsruhe
    Germany

Topics

  • Remote sensing of vegetation
  • Vegetation structure and soil erosion interaction
  • SfM photogrammetry and camera calibration

CV

Since 2022 PostDoc Institute of Geography and Geoecology, Karlsruhe Institute of Technology
2018 - 2022 PhD on Geometric calibration to improve efficiency and accuracy of geomorphological SfM surveys Newcastle University
2017 - 2018 Research assistant Institute of Geography and Geoecology, Karlsruhe Institute of Technology
2015 - 2017 Master of Science Geoecology Karlsruhe Institute of Technology
2011 - 2015 Bachelor of Science Geoecology Karlsruhe Institute of Technology

Teaching

  • Practice "Scientific Working Methods" (with Anne Lewerentz) since WS 22/23
  • Environmental remote sensing since WS 22/23
  • "Research Project in Vegetation Science" (with S. Schmidtlein, M. Ewald, A. Lewerentz, and C. Neff)
  • PhD Seminar

Supervised theses

  • Remote Sensing of Leaf Moisture: Relating the Spectral Response of Drought in Regeneration Stands to in-situ Meassurements
  • Investigating the Spectral Signal of Drought Stress in Mixed Forests using Sentinel 2 Time Series
  • Can changes in vegetation cover fraction on the Namib gravel plains be mapped with time series of satellite-retrieved land surface emissivity data?
  • Characterization of Fog and Low Clouds in Southwest Germany with Satellite and Ground-Based Observations
  • Assessment of LiDAR-Based Estimation of Understory Vegetation Cover

 

Publications


Labenski, P.; Millin-Chalabi, G.; Pacheco-Pascagaza, A. M.; Senn, J. A.; Fassnacht, F. E.; Clay, G. D. (2024). An optical satellite-based analysis of phenology and post-fire vegetation recovery in UK upland moorlands. Environmental and Sustainability Indicators, 24, 100492. doi:10.1016/j.indic.2024.100492
Obrecht, L.; Göttsche, F.-M.; Senn, J. A.; Cermak, J. (2024). Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data. Remote Sensing, 16 (1), Art.-Nr.: 159. doi:10.3390/rs16010159
Senn, J. A.; Mills, J.; Walsh, C. L.; Addy, S.; Peppa, M.-V. (2022). On‐site geometric calibration of RPAS mounted sensors for SfM photogrammetric geomorphological surveys. Earth Surface Processes and Landforms, 47 (6), 1615–1634. doi:10.1002/esp.5338
Eichel, J.; Draebing, D.; Kattenborn, T.; Senn, J. A.; Klingbeil, L.; Wieland, M.; Heinz, E. (2020). Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties. Permafrost and periglacial processes, 31 (1), 97–109. doi:10.1002/ppp.2036
Senn, J. A.; Mills, J. P.; Miller, P. E.; Walsh, C.; Addy, S.; Loerke, E.; Peppa, M. V. (2020). On-site geometric calibration of thermal and optical sensors for UAS photogrammetry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2020, 355–361. doi:10.5194/isprs-archives-XLIII-B1-2020-355-2020
Senn, J. A.; Fassnacht, F. E.; Eichel, J.; Seitz, S.; Schmidtlein, S. (2020). A new concept for estimating the influence of vegetation on throughfall kinetic energy using aerial laser scanning. Earth surface processes and landforms, 45 (7), 1487–1498. doi:10.1002/esp.4820