Research Papers

Effects of LiDAR-Quickbird fusion on object-oriented classification of mountain resort development

[+] Author Affiliations
Natalie Campos, Rick Lawrence, Brian McGlynn, Kristin Gardner

Montana State University, Land Resources and Environmental Sciences, P.O. Box 173120, Bozeman, Montana 59717

J. Appl. Remote Sens. 4(1), 043556 (November 3, 2010). doi:10.1117/1.3519370
History: Received April 14, 2010; Revised October 27, 2010; Accepted October 29, 2010; November 3, 2010; Online November 03, 2010
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Abstract

Mountain resort development is having increasing effects on ecological functions in the intermountain West. High-resolution remote sensing has the potential to assist in monitoring this development. We evaluated classification of mountain resort development in the Big Sky, Montana, watershed using Quickbird 2.4-m multispectral imagery with an object-oriented classification. Quickbird imagery, however, has limited spectral resolution; we therefore also evaluated the benefits of fusing Quickbird imagery with LiDAR bare ground and surface model data in an object-oriented approach. Classification accuracies with the fused data increased approximately 1% and were not statistically significantly different based on a 1735 point sample. The classified objects, however, demonstrated more spatial coherency, with more realistically defined shapes and edges.

© 2010 Society of Photo-Optical Instrumentation Engineers

Topics

LIDAR

Citation

Natalie Campos ; Rick Lawrence ; Brian McGlynn and Kristin Gardner
"Effects of LiDAR-Quickbird fusion on object-oriented classification of mountain resort development", J. Appl. Remote Sens. 4(1), 043556 (November 3, 2010). ; http://dx.doi.org/10.1117/1.3519370


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