An evaluation of object-oriented image analysis techniques to identify motorized vehicle effects in semi-arid to arid ecosystems of the American West
GIScience and Remote Sensing
By: C. Mladinich
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Abstract
Human disturbance is a leading ecosystem stressor. Human-induced modifications include transportation networks, areal disturbances due to resource extraction, and recreation activities. High-resolution imagery and object-oriented classification rather than pixel-based techniques have successfully identified roads, buildings, and other anthropogenic features. Three commercial, automated feature-extraction software packages (Visual Learning Systems' Feature Analyst, ENVI Feature Extraction, and Definiens Developer) were evaluated by comparing their ability to effectively detect the disturbed surface patterns from motorized vehicle traffic. Each package achieved overall accuracies in the 70% range, demonstrating the potential to map the surface patterns. The Definiens classification was more consistent and statistically valid. Copyright ?? 2010 by Bellwether Publishing, Ltd. All rights reserved.
Suggested Citation
Mladinich, C., 2010, An evaluation of object-oriented image analysis techniques to identify motorized vehicle effects in semi-arid to arid ecosystems of the American West: GIScience and Remote Sensing, v. 47, no. 1, p. 53-77, https://doi.org/10.2747/1548-1603.47.1.53.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | An evaluation of object-oriented image analysis techniques to identify motorized vehicle effects in semi-arid to arid ecosystems of the American West |
| Series title | GIScience and Remote Sensing |
| DOI | 10.2747/1548-1603.47.1.53 |
| Volume | 47 |
| Issue | 1 |
| Publication Date | May 15, 2013 |
| Year Published | 2010 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | GIScience and Remote Sensing |
| First page | 53 |
| Last page | 77 |