Image analysis – Applications – Seismic or geological sample measuring
Reexamination Certificate
2007-03-23
2009-12-29
Bella, Matthew C (Department: 2624)
Image analysis
Applications
Seismic or geological sample measuring
Reexamination Certificate
active
07639842
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.
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Flewelling James W.
Kelle Olavi
Macom Eric P.
Mathawan Neeraj
Pliszka Robert
Bella Matthew C
ImageTree Corp.
Liew Alex
Spilman Thomas & Battle PLLC
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