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Content Provider | IEEE Xplore Digital Library |
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Author | Zaremba, M.B. Gougeon, F.A. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. d'Informatique et d'Ingenierie, Quebec Univ., Gatineau, Que. (Zaremba, M.B.) |
Abstract | A major shift in the forest inventory and management paradigm toward the use of semi-automated analysis realized on an individual tree crown basis has been made possible by recent developments in high-resolution remote sensing. This paper discusses issues related to the fusion of high-resolution satellite imagery and LIDAR (light detection and ranging) data and their application in the classification of individual trees for precision forest management. The proposed methodological approach consists in the combination of spatial filtering object detection and reconstruction methods with a rule-based individual tree crown (ITC) system. Examples using QuickBird imagery combined with LIDAR data from an Alberta site (both boreal and mixed forest) demonstrate the advantages of the proposed fusion approach |
Starting Page | 1112 |
Ending Page | 1115 |
File Size | 5247112 |
Page Count | 4 |
File Format | |
ISBN | 1424400384 |
DOI | 10.1109/CCECE.2006.277351 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-07 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Laser radar Forestry Satellite broadcasting Inventory management Spatial resolution Image analysis Multispectral imaging Spatial databases Character recognition Image recognition data fusion Satellite imagery Lidar data Individual Tree Crown system |
Content Type | Text |
Resource Type | Article |
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