A large part of non-CO2 greenhouse gas emissions originates from area-distribute sources, such as from agriculture and wetlands; however, methods to quantify such emissions are much less mature than for well-studied point sources. This study addresses the above challenges by using an airborne eddy-covariance approach, which is cutting-edge science requiring high-fidelity instrumentation and advanced statistical techniques. Waldmann et al. demonstrate that aerial emissions can be quantified with similar uncertainty as point source emissions. Detailed methodology satisfies the need for transparency in data acquisition and analysis to quantify emissions. Observations like those described in this paper will help us reduce uncertainties in the impacts of agriculture on the atmosphere, allowing governments to develop smart policy that simultaneously protects food security and environmental health.