用MODIS数据监测京津风沙源工程区植被指数的选择及合成

doi:10.6046/gtzyyg.2004.03.13

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摘要

通过对比分析MODIS数据的标准归一化差分植被指数、土壤调节植被指数及增强型植被指数的特点,最终选择标准归一化差分植被指数(NDVI)对工程区进行监测。并阐述了最大合成法合成MODIS植被指数是一种行之有效的方法。

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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.

收稿日期: 2003-11-17 出版日期: 2011-08-02

基金资助:

国家863项目"高光谱技术在环北京地区防沙治沙工程监测中应用的研究(2001AA136050)"资助。

作者简介: 韩爱惠(1971-),女,工程师,从事林业遥感应用工作.

引用本文:

韩爱惠. 用MODIS数据监测京津风沙源工程区植被指数的选择及合成[J]. 国土资源遥感, 2004, 16(3): 54-56.
HAN Ai-hui . THE SELECTION AND COMPOSING OF THE VEGETATION INDEX IN THE INVESTIGATION INTO THE SOURCE AREA OF SANDSTORM AROUND BEIJING AND TIANJIN. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(3): 54-56.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2004.03.13 或 https://www.gtzyyg.com/CN/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.