Dietenberger, S., Mueller, M. M., Bachmann, F., Nestler, M., Ziemer, J., Metz, F., Heidenreich, M.G., Hese, S., Dubois, C. & Thiel, C. (2023). Tree stem detection and crown delineation in a structurally diverse deciduous forest combining leaf-on and leaf-off UAV-SfM Data. Remote Sensing15(18), 4366. https://doi.org/10.3390/rs15184366

 

Dietenberger, S., Mueller, M. M., Adam, M., Bachmann, F., Stöcker, B., Hese, S., Dubois, C. & Thiel, C. (2024). Digital forest inventory based on UAV imagery. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 4439-4442). IEEE. https://doi.org/10.1109/IGARSS53475.2024.10641040

 

Dietenberger, S., Mueller, M. M., Henkel, A., Dubois, C., Thiel, C., & Hese, S. (2025). Mapping habitat structures of endangered open grassland species (E. aurinia) using a biotope classification based on very high-resolution imagery. Remote Sensing17(1), 149. https://doi.org/10.3390/rs17010149

 

Dietenberger, S., Mueller, M. M., Stöcker, B., Dubois, C., Arlaud, H., Adam, M., Hese, S., Meyer, H. & Thiel, C. (2025). Accurate Mapping of Downed Deadwood in a Dense Deciduous Forest Using UAV-SfM Data and Deep Learning. Remote Sensing17(9), 1610. https://doi.org/10.3390/rs17091610

 

Hellwig, F. M., Stelmaszczuk-Górska, M. A., Dubois, C., Wolsza, M., Truckenbrodt, S. C., Sagichewski, H., Chmara, S., Bannehr, L., Lausch, A. & Schmullius, C. (2021). Mapping European spruce bark beetle infestation at its early phase using gyrocopter-mounted hyperspectral data and field measurements. Remote Sensing, 13(22), 4659. https://doi.org/10.3390/rs13224659

 

Mueller, M. M., Dietenberger, S., Nestler, M., Hese, S., Ziemer, J., Bachmann, F., Leiber, J., Dubois, C. & Thiel, C. (2023). Novel UAV flight designs for accuracy optimization of structure from motion data products. Remote Sensing15(17), 4308. https://doi.org/10.3390/rs15174308

 

Mueller, M. M., Dietenberger, S., Nestler, M., Dubois, C., Kaiser, S., Lenz, J., Langer, M., Fritz, O., Marx, S. & Thiel, C. (2024). Undercovereisagenten-Integrating Low-Cost UAVS and Community Insights for Enhanced Permafrost Monitoring. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 3893-3896). IEEE. https://doi.org/10.1109/IGARSS53475.2024.10642540

updated on 10/17/25

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