Anwander, J.; Brandmeier, M.; Paczkowski, S.; Neubert, T.; Paczkowska, M.
Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest. Remote Sens. 2024, 16, 561.
https://doi.org/10.3390/rs16030561
AMA Style
Anwander J, Brandmeier M, Paczkowski S, Neubert T, Paczkowska M.
Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest. Remote Sensing. 2024; 16(3):561.
https://doi.org/10.3390/rs16030561
Chicago/Turabian Style
Anwander, Julia, Melanie Brandmeier, Sebastian Paczkowski, Tarek Neubert, and Marta Paczkowska.
2024. "Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest" Remote Sensing 16, no. 3: 561.
https://doi.org/10.3390/rs16030561
APA Style
Anwander, J., Brandmeier, M., Paczkowski, S., Neubert, T., & Paczkowska, M.
(2024). Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest. Remote Sensing, 16(3), 561.
https://doi.org/10.3390/rs16030561
