1. A remote sensing and probabilistic sampling based forest inventory method comprising: a. processing remote sensing data indicative of tree attribute information for said forest, said remote sensing data comprising at least one of LiDAR data and digital images; b. defining a sampling frame within said remote sensing data; c. determining a field plot corresponding to said sampling frame and collecting field plot data therefrom, said field plot data comprising actual tree attribute information; d. generating a correlated model by combining said field plot data with said remote sensing data corresponding to said sample frame; and e. applying said correlated model to all said remote sensing data to produce a probabilistic forest inventory.