Integrating Sensors, Remote Sensing and DNDC Model for Quantifying GHG Emissions
Project Innovation + Advantages:
Environmental drivers that cause the production and flux of nitrous oxide (N2O) and spatial and temporal variability of soil carbon stocks create challenges to cost-effectively quantify N2O emissions and soil carbon stock changes at scale. Dagan aims to build, validate, and demonstrate an integrated system to reliably and economically measure field-level soil carbon and N2O emissions. The system will consist of a field sampling and measurement system; subfield scale process modeling to improve the quantification of soil carbon and greenhouse gas emissions; a detailed model validation system for quantifying model uncertainty; and an operational platform for implementing the system at scale. The system is designed to provide an alternative quantification platform for N2O and soil carbon estimates compared with direct measurement in all fields. It will more economically support quantification of carbon intensity of feedstock production. The system will enable feedstock producers to make informed and economic decisions to reduce carbon intensity of their feedstock production systems.
Reducing the uncertainty of emissions quantification is critical to realizing the revenue potential of carbon management markets.
New technologies will maintain U.S. leadership in sustainable biofuel production and advanced carbon removal and management.