Hou, R.; Zhang, B.; Fang, G.; Yang, S.; Guo, L.; Huang, W.; Yao, J.; Jiao, Q.; Sun, H.; Yan, J.
Early Detection of Pine Wilt Disease by Combining Pigment and Moisture Content Indices Using UAV-Based Hyperspectral Imagery. Remote Sens. 2025, 17, 1833.
https://doi.org/10.3390/rs17111833
AMA Style
Hou R, Zhang B, Fang G, Yang S, Guo L, Huang W, Yao J, Jiao Q, Sun H, Yan J.
Early Detection of Pine Wilt Disease by Combining Pigment and Moisture Content Indices Using UAV-Based Hyperspectral Imagery. Remote Sensing. 2025; 17(11):1833.
https://doi.org/10.3390/rs17111833
Chicago/Turabian Style
Hou, Rui, Biyao Zhang, Guofei Fang, Sihan Yang, Lei Guo, Wenjiang Huang, Jing Yao, Quanjun Jiao, Hong Sun, and Jiayu Yan.
2025. "Early Detection of Pine Wilt Disease by Combining Pigment and Moisture Content Indices Using UAV-Based Hyperspectral Imagery" Remote Sensing 17, no. 11: 1833.
https://doi.org/10.3390/rs17111833
APA Style
Hou, R., Zhang, B., Fang, G., Yang, S., Guo, L., Huang, W., Yao, J., Jiao, Q., Sun, H., & Yan, J.
(2025). Early Detection of Pine Wilt Disease by Combining Pigment and Moisture Content Indices Using UAV-Based Hyperspectral Imagery. Remote Sensing, 17(11), 1833.
https://doi.org/10.3390/rs17111833