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Discrimination of Tropical Mangroves at the Species Level with EO-1 Hyperion Data
Department of Survey Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Phuket 83120, Thailand
* Author to whom correspondence should be addressed.
Received: 28 May 2013; in revised form: 18 July 2013 / Accepted: 18 July 2013 / Published: 22 July 2013
Abstract: Understanding the dynamics of mangroves at the species level is the key for securing sustainable conservation of mangrove forests around the globe. This study demonstrates the capability of the hyper-dimensional remote sensing data for discriminating diversely-populated tropical mangrove species. It was found that five different tropical mangrove species of Southern Thailand, including Avicennia alba, Avicennia marina, Bruguiera parviflora, Rhizophora apiculata, and Rhizophora mucronata, were correctly classified. The selected data treatment (a well-established spectral band selector) helped improve the overall accuracy from 86% to 92%, despite the remaining confusion between the two members of the Rhizophoraceae family and the pioneer species. It is therefore anticipated that the methodology presented in this study can be used as a practical guideline for detailed mangrove species mapping in other study areas. The next stage of this work will be to exploit the differences between the leaf textures of the two Rhizophoraceae mangroves in order to refine the classification outcome.
Keywords: feature selection; hyperspectral; mangrove; mapping; remote sensing; species composition
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MDPI and ACS Style
Koedsin, W.; Vaiphasa, C. Discrimination of Tropical Mangroves at the Species Level with EO-1 Hyperion Data. Remote Sens. 2013, 5, 3562-3582.
Koedsin W, Vaiphasa C. Discrimination of Tropical Mangroves at the Species Level with EO-1 Hyperion Data. Remote Sensing. 2013; 5(7):3562-3582.
Koedsin, Werapong; Vaiphasa, Chaichoke. 2013. "Discrimination of Tropical Mangroves at the Species Level with EO-1 Hyperion Data." Remote Sens. 5, no. 7: 3562-3582.