APA (7th ed.) Citation

Luo, C., Geng, J., Lu, J., Kong, D., Meng, X., & Liu, H. (2026). A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions. Remote Sensing of Environment, 338, N.PAG. https://doi.org/10.1016/j.rse.2026.115365

Chicago Style (17th ed.) Citation

Luo, Chong, Jiale Geng, Jun Lu, Depiao Kong, Xiangtian Meng, and Huanjun Liu. "A Transferable Spatiotemporal Deep Learning Framework Integrating Soil Moisture Dynamics for High-resolution Cropland Soil Organic Matter Mapping Across Regions." Remote Sensing of Environment 338 (2026): N.PAG. https://doi.org/10.1016/j.rse.2026.115365.

MLA (9th ed.) Citation

Luo, Chong, et al. "A Transferable Spatiotemporal Deep Learning Framework Integrating Soil Moisture Dynamics for High-resolution Cropland Soil Organic Matter Mapping Across Regions." Remote Sensing of Environment, vol. 338, 2026, p. N.PAG, https://doi.org/10.1016/j.rse.2026.115365.