Article Versions Notes

Ahmed AAM, Deo RC, Raj N, Ghahramani A, Feng Q, Yin Z, Yang L. Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing. 2021; 13(4):554. https://doi.org/10.3390/rs13040554

Ahmed, A. A. Masrur, Ravinesh C Deo, Nawin Raj, Afshin Ghahramani, Qi Feng, Zhenliang Yin, and Linshan Yang. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data" Remote Sensing 13, no. 4: 554. https://doi.org/10.3390/rs13040554

Ahmed, A. A. M., Deo, R. C., Raj, N., Ghahramani, A., Feng, Q., Yin, Z., & Yang, L. (2021). Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing, 13(4), 554. https://doi.org/10.3390/rs13040554