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.
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