Mapping mangroves from high-resolution multispectral imagery: using Beilun Estuary, Guangxi, China as a case study

Minhe Ji; Yimin Wu; Zhongwei Deng; Hangqing Fan; Zhihua Zhang

doi:10.1117/12.794097

2 September 2008 Mapping mangroves from high-resolution multispectral imagery: using Beilun Estuary, Guangxi, China as a case study

Minhe Ji, Yimin Wu, Zhongwei Deng, Hangqing Fan, Zhihua Zhang

Author Affiliations +

Proceedings Volume 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V; 70830Y (2008) https://doi.org/10.1117/12.794097
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Minhe Ji, Yimin Wu, Zhongwei Deng, Hangqing Fan, and Zhihua Zhang "Mapping mangroves from high-resolution multispectral imagery: using Beilun Estuary, Guangxi, China as a case study", Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 70830Y (2 September 2008); https://doi.org/10.1117/12.794097

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