Cite
Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States.
MLA
Luo, Qidi, et al. “Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States.” Remote Sensing, vol. 15, no. 18, Sept. 2023, p. 4576. EBSCOhost, https://doi.org/10.3390/rs15184576.
APA
Luo, Q., Liang, Y., Guo, Y., Liang, X., Ren, C., Yue, W., Zhu, B., & Jiang, X. (2023). Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States. Remote Sensing, 15(18), 4576. https://doi.org/10.3390/rs15184576
Chicago
Luo, Qidi, Yueji Liang, Yue Guo, Xingyong Liang, Chao Ren, Weiting Yue, Binglin Zhu, and Xueyu Jiang. 2023. “Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States.” Remote Sensing 15 (18): 4576. doi:10.3390/rs15184576.