NCX maintains a high-resolution map of the forests of the United States to underpin our forest carbon marketplace. Recent work has focused on transitioning this from an annual data product to a quarterly updated dataset, testing the integration and combination of various machine learning techniques. We’ll present successes and failures, and relative impacts of processing remote sensing data using Deep Markov models with Pyro, deep sequence models like RNN’s, CNN’s, and transformers, and varying forms of image representation using VAE’s. We will present our evaluation of time, cost, and impact on company goals of precise, robust carbon accounting.