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水稻叶面积指数和叶片生化成分的光谱法研究

Study on the Leaf Area Index and Biochemical Contents of Rice Blade by the Spectral Method

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【作者】 唐延林王人潮王秀珍李云梅

【Author】 TANG Yanlin,WANG Renchao,WANG Xiuzhen,LI Yunmei(Institute of Agriculture Remote Sensing & Information System Application, Zhejiang University, Hangzhou 310029,China)

【机构】 浙江大学农业遥感与信息技术应用研究所浙江大学农业遥感与信息技术应用研究所 浙江杭州310029浙江杭州310029浙江杭州310029

【摘要】 利用光谱仪通过大田试验和室内测量不同氮素水平及不同时期水稻叶片的光谱反射率,测算叶面积指数LAI;利用生化方法测量相应叶片的叶绿素含量、蛋白质含量和纤维素含量;在此基础上分析了水稻叶面积指数与光谱变量、叶片生化成分与光谱变量及叶面积指数之间的相关性.结果表明:水稻叶面积指数与比值植被指数RVI及归一化差值植被指数NDVI呈显著相关,不同氮素水平的水稻叶片的叶绿素、蛋白质及纤维素含量与LAI之间的R2在抽穗期均达到0 75以上,其中叶绿素、纤维素含量与光谱变量的相关达显著水平,不同时期纤维素与光谱变量及LAI之间相关达显著水平,从而证明通过光谱法可以推算水稻叶片的叶绿素含量、蛋白质含量和纤维素含量.

【Abstract】 The spectral reflectances of rice blade were measured by the spectrometer FieldSpecin field and indoor at different nitrogenous levels and different periods. The leaf area index(LAI) was estimated by GIS tools. The biochemical method was used to determine the chlorophyll content , protein and cellulose content of relevant rice blade. According the results above, the analyses between the rice leaf area index and the spectral variables, and between the biochemical content of rice blade and spectral variables and LAI were done. The results showed that LAI was remarkable correspondent to the ratio of vegetation index(RVI) and normalized difference vegetation index (NDVI), and all R2 among LAI and the contents of chlorophyll, protein and cellulose were above 075 in heading stage, and the correlation coefficients among speetral vavables and chlorophyll and cellulose content at different nitrogen levels and among cellulose and spectral variables and LAI at different periods were all in significant level, respectively. The results above proved that the chlorophyll, protein and cellulose content of relevant rice blade may be calculated by spectral method.

【基金】 国家自然科学基金资助项目(49771056)
  • 【文献出处】 华南农业大学学报 ,Journal of South China Agricultural University , 编辑部邮箱 ,2003年01期
  • 【分类号】S511
  • 【被引频次】56
  • 【下载频次】526
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