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Volume 34 Issue 3
May  2015
Article Contents

Citation:

Spectral discrimination and separable feature lookup table of typical vegetation species in Yellow River Delta wetland

  • Received Date: 2013-10-12
    Accepted Date: 2014-05-13
  • Trough field measurements of six kinds of typical vegetation in the Yellow River Delta with a visibel-nir field spectroradiometer, analysis and extraction of vegetation discrimination spectrum work are carried out based on the original spectral reflectance spectrum and continuum removed spectrum. The main work and results include: (1) A spectrum discriminative lookup table of original spectrum and continuum removal spectrum between every 2 typical vegetation species through the discrimination method is established, and the separable spectrum between every vegetation specie with other 5 vegetation species are obtained. (2) Then the impacts of continuum removal method for vegetation separable feature spectrum extraction is analyzed, the result reveal that for Suaeda glauca, Gossypium spp, Sophora japonica, and Salix babylonica the discriminative spectrum are broadening through continuum removal transformation.
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  • [1] MYERS V I,HEILMAN M D,LYON R J P,et al.Soil,water,and plant relations[M]// Remote sensing with special reference to agriculture and forestry.Washington,D.C:National Academy of Sciences,1970:253-297.[16]许学工.黄河三角洲土地质量模糊综合评价[J].自然资源学报,1992,7(1):43-54.[17]许学工,林辉平,付在毅,等.黄河三角洲湿地区域生态风险评价[J].北京大学学报:自然科学版,2001,37(1):111-120.[18]王瑞燕,赵庚星,周 伟,等.县域生态环境脆弱性评价及其动态分析以黄河三角洲垦利县为例[J].生态学报,2009,29(7):3790-3799.[19]王介勇,吴建寨.黄河三角洲区域生态经济系统动态耦合过程及趋势[J].生态学报,2012,32(15):4861-4868.[20]陈述彭,童庆禧,郭华东.遥感信息机理研究[M].北京:科学出版社,1998.[21]童庆禧,张 兵,郑兰芬.高光谱遥感:原理-技术与应用[M].北京:高等教育出版社,2006.
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Spectral discrimination and separable feature lookup table of typical vegetation species in Yellow River Delta wetland

  • 1. First Institute of Oceanography, SOA, Qingdao 266061, China

Abstract: Trough field measurements of six kinds of typical vegetation in the Yellow River Delta with a visibel-nir field spectroradiometer, analysis and extraction of vegetation discrimination spectrum work are carried out based on the original spectral reflectance spectrum and continuum removed spectrum. The main work and results include: (1) A spectrum discriminative lookup table of original spectrum and continuum removal spectrum between every 2 typical vegetation species through the discrimination method is established, and the separable spectrum between every vegetation specie with other 5 vegetation species are obtained. (2) Then the impacts of continuum removal method for vegetation separable feature spectrum extraction is analyzed, the result reveal that for Suaeda glauca, Gossypium spp, Sophora japonica, and Salix babylonica the discriminative spectrum are broadening through continuum removal transformation.

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