Kriese, J.; Hoeser, T.; Asam, S.; Kacic, P.; Da Ponte, E.; Gessner, U.
Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco. Remote Sens. 2022, 14, 4327.
https://doi.org/10.3390/rs14174327
AMA Style
Kriese J, Hoeser T, Asam S, Kacic P, Da Ponte E, Gessner U.
Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco. Remote Sensing. 2022; 14(17):4327.
https://doi.org/10.3390/rs14174327
Chicago/Turabian Style
Kriese, Jennifer, Thorsten Hoeser, Sarah Asam, Patrick Kacic, Emmanuel Da Ponte, and Ursula Gessner.
2022. "Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco" Remote Sensing 14, no. 17: 4327.
https://doi.org/10.3390/rs14174327
APA Style
Kriese, J., Hoeser, T., Asam, S., Kacic, P., Da Ponte, E., & Gessner, U.
(2022). Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco. Remote Sensing, 14(17), 4327.
https://doi.org/10.3390/rs14174327