Oulaid, B.; Harris, P.; Maas, E.; Fakeye, I.A.; Baker, C.
Geographically Weighted Quantile Machine Learning for Probabilistic Soil Moisture Prediction from Spatially Resolved Remote Sensing. Remote Sens. 2025, 17, 2907.
https://doi.org/10.3390/rs17162907
AMA Style
Oulaid B, Harris P, Maas E, Fakeye IA, Baker C.
Geographically Weighted Quantile Machine Learning for Probabilistic Soil Moisture Prediction from Spatially Resolved Remote Sensing. Remote Sensing. 2025; 17(16):2907.
https://doi.org/10.3390/rs17162907
Chicago/Turabian Style
Oulaid, Bader, Paul Harris, Ellen Maas, Ireoluwa Akinlolu Fakeye, and Chris Baker.
2025. "Geographically Weighted Quantile Machine Learning for Probabilistic Soil Moisture Prediction from Spatially Resolved Remote Sensing" Remote Sensing 17, no. 16: 2907.
https://doi.org/10.3390/rs17162907
APA Style
Oulaid, B., Harris, P., Maas, E., Fakeye, I. A., & Baker, C.
(2025). Geographically Weighted Quantile Machine Learning for Probabilistic Soil Moisture Prediction from Spatially Resolved Remote Sensing. Remote Sensing, 17(16), 2907.
https://doi.org/10.3390/rs17162907