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    何彩莲, 郑顺林, 周少猛, 张琴, 袁继超, 胡建军. 基于高光谱植被指数的马铃薯叶片叶绿素含量估测模型[J]. 华南农业大学学报, 2016, 37(5): 45-49. DOI: 10.7671/j.issn.1001-411X.2016.05.008
    引用本文: 何彩莲, 郑顺林, 周少猛, 张琴, 袁继超, 胡建军. 基于高光谱植被指数的马铃薯叶片叶绿素含量估测模型[J]. 华南农业大学学报, 2016, 37(5): 45-49. DOI: 10.7671/j.issn.1001-411X.2016.05.008
    shu
    HE Cailian, ZHENG Shunlin, ZHOU Shaomeng, ZHANG Qin, YUAN Jichao, HU Jianjun. Estimation models of chlorophyll contents in potato leaves based on hyperspectral vegetation indices[J]. Journal of South China Agricultural University, 2016, 37(5): 45-49. DOI: 10.7671/j.issn.1001-411X.2016.05.008
    Citation: HE Cailian, ZHENG Shunlin, ZHOU Shaomeng, ZHANG Qin, YUAN Jichao, HU Jianjun. Estimation models of chlorophyll contents in potato leaves based on hyperspectral vegetation indices[J]. Journal of South China Agricultural University, 2016, 37(5): 45-49. DOI: 10.7671/j.issn.1001-411X.2016.05.008
    shu

    基于高光谱植被指数的马铃薯叶片叶绿素含量估测模型

    Estimation models of chlorophyll contents in potato leaves based on hyperspectral vegetation indices

      摘要
    • 摘要:
      目的 筛选相关性好的植被指数构建马铃薯叶片叶绿素a、叶绿素b估测模型，为科学、无损地进行马铃薯叶片叶绿素含量估算提供技术支撑。
      方法 采用便携式高光谱地物波谱仪，获取不同施氮水平下不同生育时期的马铃薯植株叶片光谱反射率，提取植被指数，测定马铃薯叶片叶绿素a、叶绿素b含量，并研究叶绿素含量与植被指数的相关性。
      结果 12个植被指数与叶绿素a、叶绿素b含量相关性较好，其中修正归一化差异指数(mND705)、修正简单比值指数(mSR705)、地面叶绿素指数(MTCI)、修改叶绿素吸收反射指数(MCARI)与叶绿素a、叶绿素b含量相关性最好。基于这4个植被指数建立的估测模型中，MTCI构建的乘幂模型估测叶绿素a含量的效果最佳，mND705构建的指数模型估测叶绿素b含量的效果最佳。
      结论 MTCI构建的乘幂模型能较为精确地估测叶绿素a含量，mND705构建的指数模型能较为精确地估测叶绿素b含量；这2种模型可用于间接监测马铃薯植株的氮营养亏缺状态。

       

      Abstract:
      Objective To build models for estimating chlorophyll a and chlorophyll b contents in potato, Solanum tuberosum, leaves by using hyperspectral vegetation indices, and provide a basis for scientific and nondestructive estimation of chlorophyll content in potato leaves.
      Method Leaf spectral reflectance was measured for potato plants at different growth stages under different nitrogen levels by using a portable spectrometer. The hyperspectral vegetation indices were extracted from leaf spectral reflectance. The contents of chlorophyll a and chlorophyll b in potato leaves were measured, and the relationship between hyperspectral vegetation index and chlorophyll content was analyzed.
      Result There were 12 vegetation indices with relatively good correlations with chlorophyll content. Modified normalized difference index(mND705), modified simple ratio index(mSR705), MERIS terrestrial chlorophyll index(MTCI) and modified chlorophyll absorption reflectance index(MCARI) had the highest correlations with chlorophyll contents among the 12 vegetation indices. Estimation models were established based on above-mentioned four indices. The power model based on MTCI offered the best estimation of chlorophyll a content, and the index model based on MCARI offered the best estimation of chlorophyll b content.
      Conclusion The power model based on MTCI and the index model based on mND705 can be respectively used to estimate chlorophyll a and chlorophyll b contents in potato leaves with relatively high accuracy, and indirectly monitor nitrogen deficiency in potato plants.

       

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