As the Applied Geospatial Data Scientist specializing in remote sensing, hydrology, and water resources you will analyze large datasets, develop models, and apply machine learning techniques to understand and quantify how evapotranspiration and consumptive use of water rates have changed. You will work closely with research scientists in the WATRS Lab to support scientific research to quantify field to basin-scale water needs and evaluate how much water can be conserved through investments in water infrastructure, irrigation system type, and changes in management among others. Additionally, the successful candidate will work with a multi-disciplinary team to advance models, methods, analyses, and training materials to support agriculture and water resources management.
The main objectives of the research include the analysis of satellite-based evapotranspiration (ET) models and the application of satellite and field observations to: quantify how much water is needed for irrigation in a given basin; quantify which changes (irrigation practices, irrigation type, or crop type) result in reductions in conserved consumptive use; and support the develop of training materials and contribute to written summaries that communicate insights.