期刊
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
卷 33, 期 -, 页码 226-231出版社
ELSEVIER
DOI: 10.1016/j.jag.2014.06.006
关键词
Mangrove species; HYPERION; SPOT-5; Object-oriented method; Mai Po Marshes Nature Reserve; Hong Kong
资金
- National Natural Science Foundation of China [41371403, 41271434]
- National Basic Research Program of China [2012CB956103]
- Shenzhen Municipal Science and Technology Innovation Council [JCYJ20120619151239947]
- National Key Technologies R&D Program in the 12th Five Year Plan of China [2012BAH32B01, 2012BAH32B03]
Mangrove species compositions and distributions are essential for conservation and restoration efforts. In this study, hyperspectral data of EO-1 HYPERION sensor and high spatial resolution data of SPOT-5 sensor were used in Mai Po mangrove species mapping. Objected-oriented method was used in mangrove species classification processing. Firstly, mangrove objects were obtained via segmenting high spatial resolution data of SPOT-5. Then the objects were classified into different mangrove species based on the spectral differences of HYPERION image. The classification result showed that in the top canopy, Kandelia obovata and Avicennia marina dominated Mai Po Marshes Natural Reserve, with area of 196.8 ha and 110.8 ha, respectively, Acanthus ilicifolius and Aegiceras corniculatum were mixed together and living at the edge of channels with an area of 11.7 ha. Additionally, mangrove species shows clearly zonations and associations in the Mai Po Core Zone. The overall accuracy of our mangrove map was 88% and the Kappa confidence was 0.83, which indicated great potential of using hyperspectral and high-resolution data for distinguishing and mapping mangrove species. (C) 2014 Elsevier B.V. All rights reserved.
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