Mitchell is currently working to implement the ALEXI/DisALEXI modeling framework into an open-source environment for further collaboration with global stakeholders. He conducts research in radiative transfer in vegetation and thermal infrared remote sensing with applications in surface energy balance and carbon flux modeling. Dr. Schull played a role in the development of the carbon flux component of the Two-Source Energy Balance (TSEB) and its subsequent implementation into the DisAggregated Atmosphere Land Exchange Inverse (DisALEXI) model while at the USDA-ARS Hydrology and Remote Sensing Lab. TSEB is the basis land-surface energy balance model used in DisALEXI and ALEXI which are currently used to monitor evapotranspiration, soil moisture and drought at continental to field scales. (Ph.D., Geography and Environment, Boston University; B.S., Geography, University of North Dakota).