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Vegetation change detection based on TM and SPOT images spectrum fusion in the typical area of Xishuangbanna area
Alternative TitleRenewable and Sustainable Energy
Li, Yafei(李亚飞); Liu, Gaohuan
Source PublicationAdvanced Materials Research ; 2011 International Conference on Energy, Environment and Sustainable Development, ICEESD 2011 ; Advanced Materials Research ; 2011 International Conference on Energy, Environment and Sustainable Development, ICEESD 2011
2012
Source PublicationAdvanced Materials Research ; 2011 International Conference on Energy, Environment and Sustainable Development, ICEESD 2011 ; Advanced Materials Research ; 2011 International Conference on Energy, Environment and Sustainable Development, ICEESD 2011
Corresponding AuthorLi, Yafei(李亚飞)
Conference DateOctober 21, 2011 - October 23, 2011
Conference PlaceShanghai, China
Publication PlaceP.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
PublisherTrans Tech Publications
AbstractThere are many tropical forest resources in Xishuangbanna area; it is a very important status in China. But because a large number of rubber plantations are expanding as far as possible and the areas of urban construction land are increasing, the areas of tropical forest are decreasing rapidly, which lead to serious fragmentation. In the paper, we choose the typical area of Xishuangbanna area as the research area to study the vegetation change trajectory using ETM and SPOT images acquired on different time. On the base of data pretreatment, two aspects researches were carried out. On the one hand, spectral information and NDVI information of each type of vegetation were analyzed to classify the ETM and SPOT images using the method of decision tree respectively. By classification post-processing, we could get the ways of the vegetation type conversion. On the other hand, ETM and SPOT PAN Images were integrated by the PCA to acquire the information of vegetation change including vegetation gain or loss. Finally, comprehensive information on two aspects of the vegetation changes was analyzed to acquire the vegetation change trajectory from 2000 to 2007 in the Xishuangbannan area. The result showed vegetation conversions that changed from one type to another type were frequent. A larger proportion of other type vegetation was transformed to rubber plantations.
KeywordDecision Trees Plant Extracts Principal Component Analysis Rubber Rubber Plantations Sustainable Development
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/9392
Collection研究生部
Corresponding AuthorLi, Yafei(李亚飞)
Recommended Citation
GB/T 7714
Li, Yafei,Liu, Gaohuan. Vegetation change detection based on TM and SPOT images spectrum fusion in the typical area of Xishuangbanna area[C]. P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany:Trans Tech Publications,2012.
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