1. A computer-implemented forest inventory method comprising: a. processing remote sensing data indicative of tree attribute information for said forest using a computer system, said remote sensing data comprising at least one of LiDAR data and digital images; b. defining a sampling frame within said remote sensing data using said computer system; c. using said computer system, 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 using said computer system; e. using said computer system, applying said correlated model to all said remote sensing data to produce a probabilistic forest inventory; f. wherein said field plot data further comprises field plot measurement and a plot center location; g. wherein said determining said field plot further comprises plot center location correction; and h. using said computer system to manually correct said plot center location to a location that results in the best match between tree locations indicated by said remote sensing data and tree locations verified by said field plot measurement.