crossrefMachine Learning and Knowledge Extraction2020-08-21Cited by 27
A Hybrid Artificial Neural Network to Estimate Soil Moisture Using SWAT+ and SMAP Data
Katherine H. Breen, Scott C. James, Joseph D. White, Peter M. Allen, Jeffery G. Arnold
In this work, we developed a data-driven framework to predict near-surface (0–5 cm) soil moisture (SM) by mapping inputs from the Soil & Water Assessment Tool to SM time series from NASA’s Soil Moisture Active Passive (SMAP) satellite for the period 1 January 2016–31 December…