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

Natalie Campos; Rick Lawrence; Brian McGlynn; Kristin Gardner

doi:10.1117/1.3519370

1 November 2010 Effects of LiDAR-Quickbird fusion on object-oriented classification of mountain resort development

Natalie Campos, Rick Lawrence, Brian McGlynn, Kristin Gardner

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 4, Issue 1, 043556 (November 2010). https://doi.org/10.1117/1.3519370

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.

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Natalie Campos, Rick Lawrence, Brian McGlynn, and Kristin Gardner "Effects of LiDAR-Quickbird fusion on object-oriented classification of mountain resort development," Journal of Applied Remote Sensing 4(1), 043556 (1 November 2010). https://doi.org/10.1117/1.3519370

Published: 1 November 2010

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