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Journal of Applied Remote Sensing

Mapping large-scale distribution and changes of aquatic vegetation in Honghu Lake, China, using multitemporal satellite imagery
Author(s): Fangfang Li; Chang Li; Benlin Xiao; Yanzhen Wang
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Paper 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.

Paper Details

Date Published: 22 January 2013
PDF: 15 pages
J. Appl. Remote Sens. 7(1) 073593 doi: 10.1117/1.JRS.7.073593
Published in: Journal of Applied Remote Sensing Volume 7, Issue 1
Show Author Affiliations
Fangfang Li, National Univ. of Defense Technology (China)
Chang Li, Central China Normal Univ. (China)
Benlin Xiao
Yanzhen Wang, National Univ. of Defense Technology (China)


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