Patent ID: 8111924
Filing Date: 2012-02-07
Classification: A01G,G06K

Abstract:
1. A remote sensing and probabilistic sampling based method for determining the carbon dioxide volume of a forest, said carbon dioxide volume being a volume of carbon sequestered by said forest, the method comprising: 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; defining a sampling frame within said remote sensing data; determining a field plot corresponding to said sampling frame and collecting field plot data therefrom, said field plot data comprising actual tree attribute information; generating a correlated model by combining said field plot data with said remote sensing data corresponding to said sample frame; applying said correlated model to all said remote sensing data to produce a probabilistic forest inventory; and determining a probabilistic carbon dioxide volume of the forest utilizing said probabilistic forest inventory.