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- Ziegler, A.
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- Otte, I.
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- Classen, A.
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- Classen, A.
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- Ziegler, A.
- Meyer, H.
- Otte, I.
- Peters, M. K.
- Appelhans, T.
- Behler, C.
- Böhning-Gaese, K.
- Classen, A.
- Detsch, F.
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- Ssymank, A.
- Steffan-Dewenter, I.
- Tardanico, J.
- Tschapka, M.
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- Wöllauer, S.
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- Brandl, R.
- Nauss, T.
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Journal: Remote Sens., 2022
Volume: 14
Number: 786
786
Article:
Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro
Authors:
by
Alice Ziegler, Hanna Meyer, Insa Otte, Marcell K. Peters, Tim Appelhans, Christina Behler, Katrin Böhning-Gaese, Alice Classen, Florian Detsch, Jürgen Deckert, Connal D. Eardley, Stefan W. Ferger, Markus Fischer, Friederike Gebert, Michael Haas, Maria Helbig-Bonitz, Andreas Hemp, Claudia Hemp, Victor Kakengi, Antonia V. Mayr, Christine Ngereza, Christoph Reudenbach, Juliane Röder, Gemma Rutten, David Schellenberger Costa, Matthias Schleuning, Axel Ssymank, Ingolf Steffan-Dewenter, Joseph Tardanico, Marco Tschapka, Maximilian G. R. Vollstädt, Stephan Wöllauer, Jie Zhang, Roland Brandl and Thomas Naussadd
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Cite
Ziegler, A.; Meyer, H.; Otte, I.; Peters, M.K.; Appelhans, T.; Behler, C.; Böhning-Gaese, K.; Classen, A.; Detsch, F.; Deckert, J.; et al. Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro. Remote Sens. 2022, 14, 786. https://doi.org/10.3390/rs14030786
Ziegler A, Meyer H, Otte I, Peters MK, Appelhans T, Behler C, Böhning-Gaese K, Classen A, Detsch F, Deckert J, et al. Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro. Remote Sensing. 2022; 14(3):786. https://doi.org/10.3390/rs14030786
Chicago/Turabian StyleZiegler, Alice, Hanna Meyer, Insa Otte, Marcell K. Peters, Tim Appelhans, Christina Behler, Katrin Böhning-Gaese, Alice Classen, Florian Detsch, Jürgen Deckert, and et al. 2022. "Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro" Remote Sensing 14, no. 3: 786. https://doi.org/10.3390/rs14030786
APA StyleZiegler, A., Meyer, H., Otte, I., Peters, M. K., Appelhans, T., Behler, C., Böhning-Gaese, K., Classen, A., Detsch, F., Deckert, J., Eardley, C. D., Ferger, S. W., Fischer, M., Gebert, F., Haas, M., Helbig-Bonitz, M., Hemp, A., Hemp, C., Kakengi, V., ... Nauss, T. (2022). Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro. Remote Sensing, 14(3), 786. https://doi.org/10.3390/rs14030786
