Követés
Jannika Schäfer
Jannika Schäfer
E-mail megerősítve itt: kit.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests
H Weiser, J Schäfer, L Winiwarter, N Krašovec, FE Fassnacht, B Höfle
Earth System Science Data 14 (7), 2989-3012, 2022
782022
Estimating stand density, biomass and tree species from very high resolution stereo-imagery–towards an all-in-one sensor for forestry applications?
FE Fassnacht, D Mangold, J Schäfer, M Immitzer, T Kattenborn, B Koch, ...
Forestry: An International Journal of Forest Research 90 (5), 613-631, 2017
572017
Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements
H Weiser, J Schäfer, L Winiwarter, N Krašovec, C Seitz, M Schimka, ...
172022
Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator
J Schäfer, H Weiser, L Winiwarter, B Höfle, S Schmidtlein, FE Fassnacht
Forestry: An International Journal of Forest Research 96 (5), 653-671, 2023
62023
Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models
J Schäfer, L Winiwarter, H Weiser, J Novotný, B Höfle, S Schmidtlein, ...
Forestry: An International Journal of Forest Research 97 (4), 512-530, 2024
52024
Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products
FE Fassnacht, C Mager, LT Waser, U Kanjir, J Schäfer, AP Buhvald, ...
Forestry: An International Journal of Forest Research, cpae021, 2024
42024
Das SYSSIFOSS-Projekt: synthetische 3D-fernerkundungsdaten für verbesserte waldinventurmodelle
J Schäfer, F Faßnacht, B Höfle, H Weiser
2. Symposium Zur Angewandten Satellitenerdbeoachtung, Cologne, Germany. URL …, 2019
22019
Virtual laser scanning (VLS) in forestry-Investigating appropriate 3D forest representations for LiDAR simulations with HELIOS++
H Weiser, L Winiwarter, J Schäfer, F Ewald Fassnacht, K Anders, ...
EGU General Assembly Conference Abstracts, EGU21-9178, 2021
12021
CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography
J Schäfer, L Winiwarter, H Weiser, B Höfle, S Schmidtlein, J Novotný, ...
European Journal of Remote Sensing 57 (1), 2396932, 2024
2024
Using Synthetic Datasets to predict Forest Aboveground Biomass from Airborne Laser Scanning Data
JS Schäfer
2024
Potential and limitations of simulated airborne laser scanning data for forest biomass estimation
J Schäfer, LG Winiwarter, H Weiser, J Novotný, B Höfle, S Schmidtlein, ...
2023
Time for 3D: UAV-based lidar for modelling splash erosion under vegetation
J Antenor Senn, S Seitz, F Ewald Fassnacht, Z Hosseini, J Schäfer
EGU General Assembly Conference Abstracts, EGU21-7816, 2021
2021
Presenting the GeForse approach to create synthetic LiDAR data from simulated forest stands to optimize forest inventories
FE Fassnacht, J Schäfer, H Weiser, L Winiwarter, N Krašovec, H Latifi, ...
EGU General Assembly Conference Abstracts, EGU21-9197, 2021
2021
Time for 3D: UAV-based lidar for modelling splash erosion under vegetation
JA Senn, S Seitz, FE Fassnacht, Z Hosseini, J Schäfer
EGU21, 2021
2021
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