水稻生物化学参数与高光谱遥感特征参数的相关分析

    Correlation between chemical contents of leaves and characteristic variables of hyperspectra on rice field

    • 摘要: 通过不同氮素营养水平的水稻田间试验,研究稻叶生物化学成份(叶绿素、类胡萝卜素、蛋白质、纤维素、淀粉含量) 与水稻冠层高光谱遥感特征参数之间的关系,结果表明,随着叶位的下移,叶片叶绿素含量与光谱特征变量之间的相关性明显减弱,绿峰反射率、红谷反射率、红边波长、蓝边面积和“三边”面积构成的植被指数等变量与上叶叶绿素含量、类胡萝卜素、纤维素、叶鞘淀粉含量之间有较好的相关性,而蛋白质含量与各种变量的相关系数均非常低。兰边面积、兰边面积和红边面积构成的植被植数与上叶叶绿素含量之间,红边面积 、绿反射峰与红反射峰构成的植被指数与叶鞘淀粉含量之间的相关系数都达到了0.01极显著检验水平,因此,可利用这些变量建立上叶叶绿素a、纤维素和叶鞘淀粉含量的估测模型。

       

      Abstract: The canopy spectra under different levels of nitrogen was used to study the nutritional status of nitrogen. The aim is to find out the relationship between bio-chemical parameters (chlorophyll-a content, chlorophyll-b content, chlorophyll content, sum nitrogen, protein content, fibre content, sheath amylum) and the characteristic variables of hyperspectra on rice field. The results show that the correlation between chlorophyll-a and chlorophyll content and the characteristic variables of hyperspectra is reduced while the position of the leaves are shifting from top to bottom. There are relationships between the characteristic variables of hyperspectra(such as the green peak or red valley of reflectivity, the red edge position, the blue edge area and the vegetation indices), and chlorophyll-a content and chlorophyll content of up leaves and fibre content, and sheath amylum in leaves. However, the relationship between the characteristic variables of hyperspectra and protein content in leaves cannot be found.

       

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