Patents by Inventor Neeraj Mathawan

Neeraj Mathawan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Remote sensing and probabilistic sampling based forest inventory method
    Patent number: 8300896
    Abstract: A remote sensing and probabilistic sampling based forest inventory method 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 a more accurate forest inventory. The resulting inventory can represent an empirical description of the height, DBH and species of every tree within the sample area. The use of probabilistic sampling methods can greatly improve the accuracy and reliability of the forest inventory.
    Type: Grant
    Filed: November 13, 2009
    Date of Patent: October 30, 2012
    Inventors: Olavi Kelle, Eric P. Macom, Robert Pliszka, Neeraj Mathawan, James W. Flewelling
  • Remote sensing and probabilistic sampling based method for determining the carbon dioxide volume of a forest
    Patent number: 8111924
    Abstract: 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.
    Type: Grant
    Filed: December 19, 2008
    Date of Patent: February 7, 2012
    Assignee: 2245060 Ontario Ltd.
    Inventors: Olavi Kelle, Eric P Macom, Robert Pliszka, Neeraj Mathawan
  • REMOTE SENSING AND PROBABILISTIC SAMPLING BASED FOREST INVENTORY METHOD
    Publication number: 20110110562
    Abstract: A remote sensing and probabilistic sampling based forest inventory method 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 a more accurate forest inventory. The resulting inventory can represent an empirical description of the height, DBH and species of every tree within the sample area. The use of probabilistic sampling methods can greatly improve the accuracy and reliability of the forest inventory.
    Type: Application
    Filed: November 13, 2009
    Publication date: May 12, 2011
    Applicant: IMAGE TREE CORP.
    Inventors: Olavi Kelle, Eric P. Macom, Robert Pliszka, Neeraj Mathawan
  • REMOTE SENSING AND PROBABILISTIC SAMPLING BASED METHOD FOR DETERMINING THE CARBON DIOXIDE VOLUME OF A FOREST
    Publication number: 20100040260
    Abstract: 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.
    Type: Application
    Filed: December 19, 2008
    Publication date: February 18, 2010
    Applicant: Image Tree Corp.
    Inventors: Olavi Kelle, Eric P. Macom, Robert Pliszka, Neeraj Mathawan
  • Remote sensing and probabilistic sampling based forest inventory method
    Patent number: 7639842
    Abstract: A remote sensing and probabilistic sampling based forest inventory method 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 a more accurate forest inventory. The resulting inventory can represent an empirical description of the height, DBH and species of every tree within the sample area. The use of probabilistic sampling methods can greatly improve the accuracy and reliability of the forest inventory.
    Type: Grant
    Filed: March 23, 2007
    Date of Patent: December 29, 2009
    Assignee: ImageTree Corp.
    Inventors: Olavi Kelle, Eric P. Macom, Robert Pliszka, Neeraj Mathawan, James W. Flewelling