APA (7th ed.) Citation

Jia, Y., Jin, S., Savi, P., Yan, Q., & Li, W. (2020). Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach. Remote sensing (Basel, Switzerland), 12(22), 3679. https://doi.org/10.3390/rs12223679

Chicago Style (17th ed.) Citation

Jia, Yan, Shuanggen Jin, Patrizia Savi, Qingyun Yan, and Wenmei Li. "Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach." Remote Sensing (Basel, Switzerland) 12, no. 22 (2020): 3679. https://doi.org/10.3390/rs12223679.

MLA (9th ed.) Citation

Jia, Yan, et al. "Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach." Remote Sensing (Basel, Switzerland), vol. 12, no. 22, 2020, p. 3679, https://doi.org/10.3390/rs12223679.