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Proceedings Paper

Mapping mangroves from high-resolution multispectral imagery: using Beilun Estuary, Guangxi, China as a case study
Author(s): Minhe Ji; Yimin Wu; Zhongwei Deng; Hangqing Fan; Zhihua Zhang
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Paper Abstract

This paper presents an unsuccessful attempt to identify different mangrove species from the DigitalGlobe's QuickBird high-resolution multispectral image data for a coastal estuary located in the north of South China Sea. A conventional supervised classification was conducted with 102 signatures trained for five cover classes, with 32 of the signatures being used to separate up to five mangrove species. The results indicated that spectral characteristics alone as provided by the QuickBird's four spectral bands were not sufficient for the discrimination among mangrove species, other information such as textual and structural characteristics of mangrove species would be needed to enhance the discrimination power. In addition, the confusion between upland forests and mangroves render a removal of uplands from the classification process. Finally, the shadow effect within the mangrove patches suggested the use of NDVI in the future classification attempts.

Paper Details

Date Published: 2 September 2008
PDF: 7 pages
Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 70830Y (2 September 2008); doi: 10.1117/12.794097
Show Author Affiliations
Minhe Ji, Guangxi Academy of Sciences (China)
East China Normal Univ. (China)
Yimin Wu, East China Normal Univ. (China)
Zhongwei Deng, East China Normal Univ. (China)
Hangqing Fan, Guangxi Mangrove Research Ctr. (China)
Zhihua Zhang, East China Normal Univ. (China)

Published in SPIE Proceedings Vol. 7083:
Remote Sensing and Modeling of Ecosystems for Sustainability V
Wei Gao; Hao Wang, Editor(s)

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