Identifying vegetation attributes from LiDAR data

Data processing: measuring – calibrating – or testing – Measurement system – Speed

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07974813

ABSTRACT:
Aspects of the present invention are directed at using LiDAR data to identify attributes of vegetation. In this regard, a method is provided that identifies the location of individual items of vegetation from raw LiDAR data. In one embodiment, the method includes selecting a coordinate position represented in the LiDAR data that generated a return signal. Then, a determination is made regarding whether the selected coordinate position is inside a geographic area allocated to a previously identified item of vegetation. If the selected coordinate position is not within a geographic area allocated to a previously identified item of vegetation, the method determines that the selected coordinate position is associated with a new item of vegetation. In this instance, a digital representation of the new item of vegetation is generated.

REFERENCES:
patent: 6792684 (2004-09-01), Hyyppa
patent: 7046841 (2006-05-01), Dow et al.
patent: 7187452 (2007-03-01), Jupp et al.
Wulder et al; “Local Maxium Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery” Remote Sens. Environ. vol. 73, 2000, pp. 103-114, XP002496270 New York p. 106, col. 2-p. 107, col. 2.
Juha Hyyppa et al: “A Segmentation-Based Method to Retrieve Stem Volume Estimates from 3-D Tree Height Models Produced by Laser Scanners” IEEE Transactions on Geosceience and Remote Sensing, IEEE Service Center, Piscataway, NJ, US, vole. 39, No. 5, May 1, 2001.
Hyyppa J: “Feasibility for estimation of single tree characteristics using laser scanner” Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARS 2000. IEEE 200 International Jul. 24-28, 2000, Piscataway, NJ, US, IEEE, vol. 3, Jul. 24, 2000, pp. 981-983, XP010502852 ISBN: 978-0-7803-6359-5.
Gougeon Fa et al: “Individual Tree Crown Image Analysis—A Step Towards Precision Forestry” International Precision Forestry Symposium, XX, XX, Jun. 17, 2001, pp. 1-12, XP0088063676 p. 2, paragraph 5.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Identifying vegetation attributes from LiDAR data does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Identifying vegetation attributes from LiDAR data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identifying vegetation attributes from LiDAR data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2694720

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.