HOAL 2019 Daily 30 m Soil Moisture Dataset

This dataset provides soil moisture data for the Hydrological Open Air Laboratory (HOAL) in Petzenkirchen, Austria, spanning the entire year of 2019. It has a temporal resolution of daily intervals and a spatial resolution of 30 meters. The dataset was generated using a multi-source satellite-ground data fusion perception method for soil moisture. Firstly, based on spatiotemporal fusion algorithms to obtain continuous spatiotemporal driving variables, an extreme random tree-based surface-to-surface fusion method was applied to downscale the two-layer soil moisture data to 30 m. Subsequently, using multi-layer in-situ measurements, a deep forest algorithm was employed to construct a point-to-surface fusion model for calibration. Ultimately, a high-precision daily soil moisture dataset at 30 m resolution was generated, covering the entire HOAL area for the year 2019. The dataset is stored in a common data format (GeoTIFF). This work was supported by the Open Fund of Hubei Luojia Laboratory (220100059).