With the onset of emerging technologies, the opportunity for a deep digital transformation in the process of monitoring, reporting and verifying (MRV) forest carbon credits can bring about a disruptive change in the sector. If properly integrated, leveraging remote sensing (both lidar and high fidelity imagery), drones with spatial computing capabilities, IoT sensors (i.e. internet-of-things), big data, machine learning and blockchain can produce a radical cost reduction in MRV; essentially through processes of automation and disintermediation. The use of state-of-the-art machine learning, for example, cannot only be used to perform low cost calculation of forest biomass using remote sensing data, it can be employed to detect ‘leakage’ and ‘permanence’ within conventional certification standards. Furthermore, blockchain and modern cryptographic techniques bring significant value to: the creation of digital climate assets (i.e. carbon credits and complementary metadata), their trading within and across climate market jurisdictions, their role within smart contracts, and in mechanisms for nested accounting once assets are retired.