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Detection and Classification of Grassland with Stellera chamaejasme through HJ-1A Hyperspectral Image in Northern Tibet
Language英语
Guo Fenfen1; Xiao Jingjing2; Fan Jianrong3
Corresponding AuthorGuo, Fenfen
2017
Source PublicationPROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT (ICEESD 2017)
Volume129
Pages453-459
meeting6th International Conference on Energy, Environment and Sustainable Development (ICEESD)
Conference DateMAR 11-12, 2017
Conference PlaceZhuhai
CountryPEOPLES R CHINA
Publication PlacePARIS
PublisherATLANTIS PRESS
Contribution Rank3
Funding OrganizationICEESD
AbstractStellera chamaejasme is the most typical invasive plant in North Tibet. Monitoring the distribution of the Stellera chamaejasme is the prerequisite for grassland quality evaluation or management. In this paper, the hyperspectral image of HJ-1A satellite (HJ-1A HSI) was used to monitor the Stellera chamaejasme in the northern region of Xainza. Linear Spectral Unmixing (LSU) algorithm was used to get the abundances of six landuse types(include grassland with Stellera chamaejasme) based on HSI. Feature extraction method of principle component analysis (PCA) was used to compress the HSI information into five bands. And then, maximum likelihood classifier(MLC) was applied to the six abundances and the first five principal components for getting the classification result. The result showed that the classification result of LSU-MLC was better than PCA5-MLC, the mapping accuracy of Stellera chamaejasme grassland based on both methods were all greater than 91%, the user accuracy was all greater than 66%. We concluded that HJ-1A HSI can be used to detect and classify Stellera chamaejasme in northern Tibet. In addition, we got the spatial distribution characteristics of Stellera chamaejasme by overlay analysis of classification result with the terrain factors: the Stellera chamaejasme mainly distributed in the area with elevation between 4500 and 4800m, slope less than 10 degrees and mostly in the Southwest aspect, where radiation and hydrothermal condition were favorable.
KeywordNorthern Tibet Stellera chamaejasme. Grassland degradation HJ-1A Hyperspectral
ISBN978-94-6252-328-9
ISSN2352-5401
Indexed ByCPCI
WOS IDWOS:000414083700102
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/20696
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorGuo Fenfen
Affiliation1.SOA, Inst Oceanog 2, Hangzhou 310012, Zhejiang, Peoples R China;
2.Zhejiang Climate Ctr, Hangzhou 310012, Zhejiang, Peoples R China;
3.Chinese Acad Sci & Minist Water Conservancy, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Guo Fenfen,Xiao Jingjing,Fan Jianrong. Detection and Classification of Grassland with Stellera chamaejasme through HJ-1A Hyperspectral Image in Northern Tibet[C]. PARIS:ATLANTIS PRESS,2017:453-459.
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