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遥感技术与应用  2009, Vol. 24 Issue (6): 777-783    DOI: 10.11873/j.issn.1004-0323.2009.6.777
技术研究与图像处理     
植被指数在长江口潮滩湿地植被信息提取中的应用研究
 刘瑜, 韩震, 郭永飞

  
上海海洋大学海洋科学学院,上海  201306
Vegetation Indices Application of the Vegetation Information Extraction in the Yangtze River Estuary Tidal Flat
 LIU Yu,HAN Zhen,GUO Yong-fei
College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China
      
 全文: PDF(1962 KB)  
摘要:

以长江口崇明东滩湿地为研究区,分析了崇明东滩湿地实测反射光谱数据和Landsat TM地物反射波谱曲线,发现在近红外波段,植被的反射率差异最突出;在绿光波段,受水分影响较大的植被特征信息比较突出。在上述分析的基础上,选取9种典型的植被指数进行计算,提出了适合研究区植被信息提取的三波段比值植被指数TRVI。并且利用该指数,使用人工决策树分类方法,进行典型地物信息的提取,取得了满意的效果。
   

关键词: 植被指数 湿地 长江口 光谱曲线    
Abstract:

This paper analyzed the reflectance spectrum data of the field measurement and Landsat TM reflectance spectrum data,taking the Chongmingdongtan tidal flat in the Yangtze River estuary as the study area.We found that the reflectance difference of vegetation was obvious in the NIR band,and the vegetation characteristics information was prominent which affected by water in the green band.Based on the above analyze results,we calculated nine typical vegetation indices,and put forward tri-band ratio vegetation index (TRVI) which adapted well to extract vegetation information in the study area.With this vegetation index,we extracted the typical objects by using decision tree classification.The result was satisfied.

Key words:          Vegetation indices    Wetland    Yangtze River estuary    Spectrum curve
收稿日期: 2009-04-15 出版日期: 2012-01-06
基金资助:

上海市教育委员会科研创新重点项目(08ZZ81)、上海市科委重点项目(08230510700)、教育部科学技术研究重点项目(209047)、水利公益性行业科研专项(200701026)资助。

 

通讯作者: 韩震(1969-),男,教授,主要从事遥感技术研究。E-mail:zhhan@shou.edu.cn。   
作者简介: 刘瑜(1985-),女,硕士研究生,主要研究方向为环境遥感。E-mail:liuyuhh666@163.com。
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引用本文:

刘瑜, 韩震, 郭永飞. 植被指数在长江口潮滩湿地植被信息提取中的应用研究[J]. 遥感技术与应用, 2009, 24(6): 777-783.

LIU Yu, HAN Zhen, GUO Yong-Fei. Vegetation Indices Application of the Vegetation Information Extraction in the Yangtze River Estuary Tidal Flat. Remote Sensing Technology and Application, 2009, 24(6): 777-783.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2009.6.777        http://www.rsta.ac.cn/CN/Y2009/V24/I6/777

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