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 - Ahmed, A. A. Masrur; Deo, Ravinesh C; Raj, Nawin; Ghahramani, Afshin; Feng, Qi; Yin, Zhenliang; Yang, Linshan (Remote sensing (Basel, Switzerland), 2021)
Keywords: Agricultural management; Agricultural practices; Algorithms; Artificial neural networks; climate; Climate models; Data collection; Decomposition; Deep learning; deep learning algorithm; El Nino; Farm buildings; Forecasting; gated recurrent unit; hybrids; Hydrology; Model testing; MODIS; Neural networks; Precipitation; Rain; Remote sensing; Remote sensors; satellite models of soil moisture; Satellite observation; satellites; Soil moisture; Soil surfaces; soil water; Stream flow; Sustainable agriculture; Sustainable practices; Teaching methods; Temporal resolution; Time series; Variables; viability; Water management; Water resources; Water resources management; Wavelet transforms; Australia