22 January 2013 Mapping large-scale distribution and changes of aquatic vegetation in Honghu Lake, China, using multitemporal satellite imagery
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J. of Applied Remote Sensing, 7(1), 073593 (2013). doi:10.1117/1.JRS.7.073593
Abstract
Honghu Lake, one of the seven largest fresh-water lakes in China, is well known for its ecological and economic importance, as well as its rapid changes in recent years. This study investigates the potential of using remote sensing to map and monitor aquatic vegetation changes in Honghu Lake on a large scale. Landsat TM/ETM+ images dated July 27, 2000, July 9, 2002, and July 17, 2008, and CBERS image dated August 12, 2005, are employed to map the aquatic vegetation distribution in the lake. A hybrid classification method, combining the power of the decision tree classifier, naïve Bayes classifier, and supporting vector machine classifier is used to distinguish different wetland types. A novel polar coordinate map method is proposed to map the changes of aquatic vegetation on a large scale. The map demonstrates vegetation patch size changes and percentage changes in the whole lake directions during four periods. Validation using in situ surveys and historical ancillary data suggests that this approach could map the distribution and monitor the changes of aquatic vegetation on a large scale efficiently.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Fangfang Li, Chang Li, Benlin Xiao, Yanzhen Wang, "Mapping large-scale distribution and changes of aquatic vegetation in Honghu Lake, China, using multitemporal satellite imagery," Journal of Applied Remote Sensing 7(1), 073593 (22 January 2013). http://dx.doi.org/10.1117/1.JRS.7.073593
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KEYWORDS
Vegetation

Earth observing sensors

Landsat

Image classification

Remote sensing

Satellites

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