APA (7th ed.) Citation

Zhang, M., Li, G., Lu, D., Xu, C., Zhao, H., & Li, D. (2025). Self-supervised deep learning for detection of forest disturbance types in a subtropical ecosystem using transformer and Sentinel-1 and Sentinel-2 time series data. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Zhang, Ming, Guiying Li, Dengsheng Lu, Cong Xu, Haotian Zhao, and Dengqiu Li. Self-supervised Deep Learning for Detection of Forest Disturbance Types in a Subtropical Ecosystem Using Transformer and Sentinel-1 and Sentinel-2 Time Series Data. Taylor & Francis Group, 2025.

MLA (9th ed.) Citation

Zhang, Ming, et al. Self-supervised Deep Learning for Detection of Forest Disturbance Types in a Subtropical Ecosystem Using Transformer and Sentinel-1 and Sentinel-2 Time Series Data. Taylor & Francis Group, 2025.