中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Discuss on quantitative method study of sand-dust information using Terra/MODIS data

文献类型:会议论文

作者Li H. P. ; Xiong L. Y. ; Zhuang D. F.
出版日期2003
会议名称Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie)
关键词Terra/MODIS sand-dust information inner Mongolia quantitative retrieval method aerosol
页码732-741
英文摘要With the successful launching of the new generation satellite of EOS Terra, its Moderate Resolution Imaging Spectroradiometer(MODIS) data has more advantages in comprehensive research of land ocean and atmosphere. Also it can be used in disaster monitoring and losing assessment. This article focuses on the discussion of using Terra/MODIS data to study sand-dust information quantitative retrieval method. The conclusion is that MODIS data can be used to study the quantitative retrieval of sand-dust information and the study scenario has certain feasibility. The study contains of selecting the characteristic spectrum bands of sand-dust information; separating sand-dust information from the background and enhancing the weak information of floating dust, raising dust, etc. Theory basis of quantitative retrieval method are remote sensing quantitative method, atmosphere radiative transforming and visibility theories. Data pre-processing is also necessary. Retrieving of sand-dust aerosol optic thickness is more difficult and also the key problem to resolve. Case study is necessary and should be used to support the quantitative method. The study can provide the theory basis and technique supporting for sand-dust disaster forecasting, monitoring and preventing.
收录类别CPCI
会议录出版者Spie-Int Soc Optical Engineering
语种英语
ISSN号0277-786X
ISBN号0-8194-4676-9
源URL[http://ir.igsnrr.ac.cn/handle/311030/25162]  
专题地理科学与资源研究所_历年回溯文献
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Li H. P.,Xiong L. Y.,Zhuang D. F.. Discuss on quantitative method study of sand-dust information using Terra/MODIS data[C]. 见:Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie).

入库方式: OAI收割

来源:地理科学与资源研究所

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