Tag: SMAP

By placing just seven strategically sited soil moisture sensors across a heterogeneous Brazilian watershed and training Random Forest and XGBoost ...

A vegetation-aware strategy combining L-, C- and X-band satellite soil-moisture data improved model accuracy by selecting observations according to canopy ...

A new satellite-based study combining MODIS, SMAP and CHIRPS data shows that drought affected more than 65 percent of Guba ...

A new study shows that calibrating watershed models with downscaled, bias-corrected satellite soil moisture data dramatically improves the representation of ...

Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data ...

The first national-scale systematic review of Kenyan soil moisture research finds that remote sensing dominates the field while the drought-prone ...