Fusion of High-Resolution Satellite and Lidar Data for Individual Tree Recognition

Author

Zaremba, Marek B. ; Gougeon, Francois A.

Author_Institution

Dept. d´´Informatique et d´´Ingenierie, Quebec Univ., Gatineau, Que.

fYear

2006

fDate

38838

Firstpage

1112

Lastpage

1115

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

Keywords

filtering theory; forestry; image classification; image fusion; image reconstruction; image resolution; object detection; optical radar; remote sensing; trees (mathematics); LIDAR data; forest inventory management; high-resolution remote sensing; high-resolution satellite imagery; individual tree recognition; light detection and ranging; object reconstruction methods; rule-based individual tree crown system; semiautomated analysis; spatial filtering object detection; Character recognition; Forestry; Image analysis; Image recognition; Inventory management; Laser radar; Multispectral imaging; Satellite broadcasting; Spatial databases; Spatial resolution; Individual Tree Crown system; Lidar data; Satellite imagery; data fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on

Conference_Location

Ottawa, Ont.

Print_ISBN

1-4244-0038-4

Electronic_ISBN

1-4244-0038-4

Type

conf

DOI

10.1109/CCECE.2006.277351

Filename

4054805