MSc Jannika Schäfer
- PhD student
- Group: Vegetation
- Office Hours: Nach Vereinbarung
Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie
Kaiserstr. 12
76131 Karlsruhe
Germany
2024
Fassnacht, F. E.; Mager, C.; Waser, L. T.; Kanjir, U.; Schäfer, J.; Buhvald, A. P.; Shafeian, E.; Schiefer, F.; Stančič, L.; Immitzer, M.; Dalponte, M.; Stereńczak, K.; Skudnik, M. (2024). Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products. Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpae021
Schäfer, J.; Winiwarter, L.; Weiser, H.; Höfle, B.; Schmidtlein, S.; Novotný, J.; Krok, G.; Stereńczak, K.; Hollaus, M.; Fassnacht, F. E. (2024). CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography. European Journal of Remote Sensing, 57 (1), 1–18. doi:10.1080/22797254.2024.2396932
Schäfer, J.; Winiwarter, L.; Weiser, H.; Novotný, J.; Höfle, B.; Schmidtlein, S.; Henniger, H.; Krok, G.; Stereńczak, K.; Fassnacht, F. E. (2024). Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models. (T. Y. Lam, Ed.) Forestry: An International Journal of Forest Research, 97 (4), 512–530. doi:10.1093/forestry/cpad061
Schäfer, J. S. (2024, September 16). Using Synthetic Datasets to predict Forest Aboveground Biomass from Airborne Laser Scanning Data. PhD dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000174131
2023
Schäfer, J.; Weiser, H.; Winiwarter, L.; Höfle, B.; Schmidtlein, S.; Fassnacht, F. E. (2023). Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator. Forestry: An International Journal of Forest Research, 96 (5), 653–671. doi:10.1093/forestry/cpad006
2022
Weiser, H.; Schäfer, J.; Winiwarter, L.; Krašovec, N.; Fassnacht, F. E.; Höfle, B. (2022). Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests. Earth System Science Data, 14 (7), 2989–3012. doi:10.5194/essd-14-2989-2022
2017
Fassnacht, F. E.; Mangold, D.; Schäfer, J.; Immitzer, M.; Kattenborn, T.; Koch, B.; Latifi, H. (2017). Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?. Forestry, 90 (5), 613–631. doi:10.1093/forestry/cpx014