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Journal of Applied Remote Sensing

Effects of LiDAR-Quickbird fusion on object-oriented classification of mountain resort development
Author(s): Natalie Campos; Rick Lawrence; Brian McGlynn; Kristin Gardner
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Paper 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.

Paper Details

Date Published: 1 November 2010
PDF: 15 pages
J. Appl. Rem. Sens. 4(1) 043556 doi: 10.1117/1.3519370
Published in: Journal of Applied Remote Sensing Volume 4, Issue 1
Show Author Affiliations
Natalie Campos, Montana State Univ. (United States)
Rick Lawrence, Montana State Univ. (United States)
Brian McGlynn, Montana State Univ. (United States)
Kristin Gardner, Montana State Univ. (United States)

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