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REMOTE SENSING FOR LAND & RESOURCES    2004, Vol. 16 Issue (3) : 54-56     DOI: 10.6046/gtzyyg.2004.03.13
Technology Application |
THE SELECTION AND COMPOSING OF THE VEGETATION INDEX IN THE INVESTIGATION INTO THE SOURCE AREA OF SANDSTORM AROUND BEIJING AND TIANJIN
HAN Ai-hui
Academy of Forest Inventory and Planning, State Forestry Administration, Beijing 100714, China
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Abstract  

For the purpose of investigating the effects of sandification prevention and control, the MODIS remote sensing data were chosen to investigate the dynamic change of the source area of sandstorm around Beijing and Tianjin. Based on analyzing the characteristics of three main vegetation indexes, namely NDVI, SAVI and EVI, the author finally selected NDVI. The MVC method is also argued to be an effective means to compose the MODIS vegetation index.

Issue Date: 02 August 2011
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Cite this article:   
HAN Ai-hui . THE SELECTION AND COMPOSING OF THE VEGETATION INDEX IN THE INVESTIGATION INTO THE SOURCE AREA OF SANDSTORM AROUND BEIJING AND TIANJIN[J]. REMOTE SENSING FOR LAND & RESOURCES,2004, 16(3): 54-56.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2004.03.13     OR     https://www.gtzyyg.com/EN/Y2004/V16/I3/54


[1] Terrestrial Biographics & Remote Sensing Lab,MODIS Vegetation Index Algorithm
[EB/OL].http://tbrs.arizona.edu/forest/projects/modis/vi_quality.htm ,2003-01-16.


[2] 刘玉洁,杨忠东,郭炜,等.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.


[3] Maria Margarita Gonzalez Loyarte,Detecting Spatiall and Temporal Patterns in NDVI Time Series Using Histograms[J].Can.J.Remote Sensing,2002,28(2):275-290.

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