Knowledge of soil carbon content is required for optimization of soil productivity and profitability, understanding the impact of agricultural land use practices on soil resources, and evaluating strategies for carbon sequestration1,2,3,4. Soil carbon is a universal indicator of soil quality5. Several methods have been developed for soil carbon measurements. Dry combustion (DC) has been the most widely used method for years6; this method is based on field sample collection and laboratory processing and measurement that is destructive, labor intensive, and time consuming. Two newer methods are laser-induced breakdown spectroscopy, and near and mid infrared spectroscopy7. These methods are also destructive and only analyze the very near-surface soil layer (0.1 - 1 cm soil depth). In addition, these methods only yield point measurements of carbon content for small sample volumes (~60 cm3 for DC method, and 0.01-10 cm3 for infrared spectroscopy methods). Such point measurements make it difficult to extrapolate results to field or landscape scales. Since these methods are destructive, recurring measurements are also impossible.
Previous researchers at Brookhaven National Laboratory suggested applying neutron technology for soil carbon analysis (INS method)7,8,9. This initial effort developed the theory and practice of using neutron gamma analysis for soil carbon measurement. Starting in 2013, this effort was continued at the USDA-ARS National Soil Dynamics Laboratory (NSDL). The expansion of this technological application over the last 10 years is due to two main factors: the availability of relatively inexpensive commercial neutron generators, gamma detectors, and corresponding electronics with software; and state of the art neutron-nuclei interaction reference databases. This method has several advantages over others. An INS system, placed on a platform, could be maneuvered over any type of field that requires measurement. This non-destructive in-situ method can analyze large soils volumes (~300 kg) that can be interpolated to a whole agricultural field using just a few measurements. This INS system is also capable of operating in a scanning mode that determines the average carbon content of an area based on scanning over a predetermine grid of the field or landscape.