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Remote sensing and probabilistic sampling based forest inventory method

  • US 20070291994A1
  • Filed: 03/23/2007
  • Published: 12/20/2007
  • Est. Priority Date: 05/03/2002
  • Status: Active Grant
First Claim
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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.

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