NASA will fly a Dynamic Aviation A200 aircraft at low altitude over farmland near Transit, Texas, from October 22 through November 9, 2026, carrying more than a dozen sensors trained on gaseous and particulate emissions from animal feeding operations. The FarmFlux mission is jointly led by NASA's Goddard Space Flight Center, Colorado State University, and Boston University. The measurement suite covers ozone, methane, ammonia, particulates, and other pollutants — the full cocktail rising from concentrated livestock operations and their interaction with the broader atmosphere. Agricultural emissions are one of the least instrumented segments of the U.S. greenhouse gas inventory; satellite observations lack the spatial resolution to attribute emissions to specific operations, and ground-based monitoring networks are sparse in rural areas. A second phase is already scheduled. From March through July 2027, a NASA P-3 Orion aircraft will conduct additional low-altitude flights over cropland in the Midwest and California's Central Valley during the growing season, expanding the dataset from livestock to row crops and the seasonal pulse of fertilizer-driven emissions. The choice of platforms matters. The A200 is a light turboprop suited to slow, low passes over defined areas — ideal for point-source characterization around feedlots. The P-3 Orion is a much larger four-engine aircraft capable of long-range, multi-hour transects across broad agricultural regions. Together they give FarmFlux both the magnifying glass and the wide-angle lens. The structural value here is measurement infrastructure. U.S. agriculture accounts for roughly 10% of national greenhouse gas emissions, with methane from livestock and nitrous oxide from fertilized soils as the dominant contributors. Policy interventions — carbon markets, methane reduction incentives, fertilizer management programs — all depend on source-level attribution that simply does not exist at useful resolution today. FarmFlux is a calibration mission as much as a science mission. Airborne measurements at this altitude can be cross-referenced with satellite retrievals and ground monitors to build the transfer functions needed to trust remote sensing data in agricultural contexts. Without that ground-truth layer, satellite estimates remain loosely constrained. The multi-institution structure — NASA, Colorado State, Boston University — distributes both the intellectual capital and the analytical burden across groups with different expertise: atmospheric chemistry, agricultural systems, and remote sensing. That's how durable measurement programs get built.
