Staff Research Highlight - Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics
Research Highlight, Staff highlight, Groundwater, HGS, Climate, Soil Moisture, Remote sensing, Aquanty project Veljko Zaric Research Highlight, Staff highlight, Groundwater, HGS, Climate, Soil Moisture, Remote sensing, Aquanty project Veljko Zaric

Staff Research Highlight - Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics

Aquanty staff investigate the potential for using near-surface soil moisture measurements from the Soil Moisture Active Passive (SMAP) satellite to predict subsurface soil moisture and groundwater storage dynamics. This research offers valuable insights into how satellite-based soil moisture data can inform large-scale hydrological modelling and support more effective water resource management.

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