Soil Physics, Proximal and Remote Sensing, Digital Soil Mapping, Soil-Vegetation-Atmosphere Interaction: Integrating proximal and remote sensing and process-based models to improve the fundamental understanding of water, carbon, nutrient, and energy cycles under climate change and human disturbance; combining soil sensing technologies, big data analytics, and machine learning to monitor, model, and map water, carbon, nutrient, and energy fluxes across scales for sustainable natural resources management. Soil Sensing and Monitoring Lab.