A remote sensing and probabilistic sampling based method for determining carbon dioxide volume of a forest can correlate aerial data, such as LiDAR, CIR, and/or Hyperspectral data with actual sampled and measured ground data to facilitate obtainment, e.g., prediction, of an accurate forest inventory, and corresponding carbon dioxide volume thereof.