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Proceedings Paper

The methods research of deriving bamboo information based on IKONOS image
Author(s): Zheng Guo; Hong Jiang; Jian Chen; Miaomiao Cheng
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Paper Abstract

Bamboo is an important forest resource at sub-tropical regions in China, which continuous expansion has taken place in China during the last 20 years. Monitoring its distribution has important significance. It provide a possibility that we can extract accurate information among vegetation types as result of detailed texture features, patterns, optical information can be obtained from IKONOS image. In this paper, Anji Country in Zhejiang province was selected, deriving bamboo information from IKONOS image by using Iterative Self-Organizing Data Analysis Technique(ISODATA) classify method, Decision Tree method based on NDVI and texture and Object-oriented classification algorithm based on texture and spectral bands were discussed. The results showed that Decision Tree method based on NDVI and texture demonstrated high accuracy (Kappa=0.7428). Additional, Object-oriented classification algorithm based on texture and spectral bands suggested the highest user's accuracy 93% and producer's 78% at deriving bamboo information, which can be adapted to deriving bamboo information from IKONOS image at subtropical regions in China.

Paper Details

Date Published: 30 October 2009
PDF: 12 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982D (30 October 2009); doi: 10.1117/12.832981
Show Author Affiliations
Zheng Guo, Zhejiang Forestry Univ. (China)
Hong Jiang, Zhejiang Forestry Univ. (China)
Nanjing Univ. (China)
Jian Chen, Zhejiang Forestry Univ. (China)
Miaomiao Cheng, Zhejiang Forestry Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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