Agricultural systems are often characterized by high spatial and temporal variability in the factors that determine crop yield. In particular, the variability of soil and other environmental factors affecting yield are notoriously hard to characterize at very high spatial resolution. Recent high-resolution satellites (e.g., Sentinel and PlanetScope) may be useful tools for monitoring crops and environmental factors in agriculture. This talk will describe recent research in Scudiero’s Lab on remote sensing of soil moisture and on the determination of crop salinity tolerance in crops using high-resolution satellite data. The talk will include an overview of research gaps and opportunities for the use of data science in agricultural research.

Dr. Elia Scudiero