Object-based classification of semi-arid wetlands

Halabisky, Meghan; Moskal, L. Monika; Hall, Sonia A.

doi:doi:10.1117/1.3563569

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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Object-based classification of semi-arid wetlands

J. Appl. Remote Sens. 5, 053511 (Mar 21, 2011); http://dx.doi.org/10.1117/1.3563569

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Abstract

References (25)

Meghan Halabisky and L. Monika Moskal

University of Washington, Remote Sensing and Geospatial Analysis Laboratory, School of Forest Resources, Seattle, Washington 98195 halabisk@uw.edu; lmmoskal@uw.edu

Sonia A. Hall

The Nature Conservancy, 6 Yakima Street, Suite 1A, Wenatchee, Washington 98801 shall@tnc.org

Wetlands are valuable ecosystems that benefit society. However, throughout history wetlands have been converted to other land uses. For this reason, timely wetland maps are necessary for developing strategies to protect wetland habitat. The goal of this research was to develop a time-efficient, automated, low-cost method to map wetlands in a semi-arid landscape that could be scaled up for use at a county or state level, and could lay the groundwork for expanding to forested areas. Therefore, it was critical that the research project contain two components: accurate automated feature extraction and the use of low-cost imagery. For that reason, we tested the effectiveness of geographic object-based image analysis (GEOBIA) to delineate and classify wetlands using freely available true color aerial photographs provided through the National Agriculture Inventory Program. The GEOBIA method produced an overall accuracy of 89% (khat = 0.81), despite the absence of infrared spectral data. GEOBIA provides the automation that can save significant resources when scaled up while still providing sufficient spatial resolution and accuracy to be useful to state and local resource managers and policymakers.

History

Received Oct 19, 2010
Accepted Jan 19, 2011
Revised Dec 22, 2010
Published online Mar 21, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3563569

Citation

Meghan Halabisky, L. Monika Moskal and Sonia A. Hall, "Object-based classification of semi-arid wetlands", J. Appl. Remote Sens. 5, 053511 (Mar 21, 2011); http://dx.doi.org/10.1117/1.3563569