Jia, Y.; Jin, S.; Savi, P.; Yan, Q.; Li, W.
Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach. Remote Sens. 2020, 12, 3679.
https://doi.org/10.3390/rs12223679
AMA Style
Jia Y, Jin S, Savi P, Yan Q, Li W.
Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach. Remote Sensing. 2020; 12(22):3679.
https://doi.org/10.3390/rs12223679
Chicago/Turabian Style
Jia, Yan, Shuanggen Jin, Patrizia Savi, Qingyun Yan, and Wenmei Li.
2020. "Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach" Remote Sensing 12, no. 22: 3679.
https://doi.org/10.3390/rs12223679
APA Style
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, 12(22), 3679.
https://doi.org/10.3390/rs12223679