Chen, S.; Wang, X.; Shi, M.; Tao, G.; Qiao, S.; Chen, Z.
Developing Interpretable Deep Learning Model for Subtropical Forest Type Classification Using Beijing-2, Sentinel-1, and Time-Series NDVI Data of Sentinel-2. Forests 2025, 16, 1709.
https://doi.org/10.3390/f16111709
AMA Style
Chen S, Wang X, Shi M, Tao G, Qiao S, Chen Z.
Developing Interpretable Deep Learning Model for Subtropical Forest Type Classification Using Beijing-2, Sentinel-1, and Time-Series NDVI Data of Sentinel-2. Forests. 2025; 16(11):1709.
https://doi.org/10.3390/f16111709
Chicago/Turabian Style
Chen, Shudan, Xuefeng Wang, Mengmeng Shi, Guofeng Tao, Shijiao Qiao, and Zhulin Chen.
2025. "Developing Interpretable Deep Learning Model for Subtropical Forest Type Classification Using Beijing-2, Sentinel-1, and Time-Series NDVI Data of Sentinel-2" Forests 16, no. 11: 1709.
https://doi.org/10.3390/f16111709
APA Style
Chen, S., Wang, X., Shi, M., Tao, G., Qiao, S., & Chen, Z.
(2025). Developing Interpretable Deep Learning Model for Subtropical Forest Type Classification Using Beijing-2, Sentinel-1, and Time-Series NDVI Data of Sentinel-2. Forests, 16(11), 1709.
https://doi.org/10.3390/f16111709
