HIGHLIGHTS
- who: Hydrol. Earth Syst. Sci. and collaborators from the CNES/CNRS/INRAE/IRD/UPS, Toulouse, France , Department of Civil and Environmental Engineering (DICA), Polytechnic University of Milan, Milan, Italy have published the research work: Integrating process-related information into an artificial neural network for root-zone soil moisture prediction, in the Journal: (JOURNAL)
- what: The authors investigated the combination of surface soil moisture information with process-related inferred features involving artificial neural networks (ANNs). To assess the robustness of the approach the trained models were applied to observation sites in Tunisia Italy and southern India . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.