Environmental Science
5 years ago

New model predicts soil moisture variability for improved agriculture practices.

Journal of Hydrology
Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture
Navid Jadidoleslam, Ricardo Mantilla, Witold F. Krajewski, Michael H. Cosh

Paper Summary

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The study looked at using satellite data to get detailed soil moisture info. They used data from Iowa to make a model that can predict how soil moisture changes over time. The model showed that soil moisture near the minimum or maximum had the most predictable patterns, while soil moisture in the middle was harder to predict. This info can help with things like predicting runoff after rain and helping farmers with their crops.