The integration of data-driven thermal imaging technology in regenerative agriculture is emerging as a powerful tool to enhance soil health and accelerate carbon sequestration. This chapter explores the potential of thermal imaging to monitor and manage soil conditions more effectively, offering real-time insights into soil temperature variations, moisture levels, and microbial activity. By leveraging this technology, farmers and researchers can identify areas of soil degradation, optimize irrigation practices, and implement targeted interventions that promote the regeneration of soil organic matter. The chapter also discusses how thermal imaging can be used to track the progress of carbon sequestration efforts, providing a quantifiable measure of carbon stored in agricultural soils. Furthermore, the use of thermal imaging in conjunction with other data-driven approaches, such as remote sensing and machine learning, is examined to provide a holistic view of soil health and its role in climate change mitigation. This technology not only supports the goals of regenerative agriculture but also contributes to broader environmental sustainability by enhancing the resilience of agricultural systems to climate variability.