Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S

•The scale mismatch issue is accounted for using extended triple collocation.•Generalized regression neural network obtains a good cross-validation performance.•Soil moisture retrievals are spatio-temporally consistent with ground measurements.•The choice of thresholds is critical to determine the reliable ground measurements.