基于高光谱红边参数的不同物候期苹果叶片的SPAD值估测
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山东农业大学资源与环境学院,山东农业大学资源与环境学院;山东农业大学农业生态与环境重点实验室;山东农业大学园艺科学与工程学院,山东农业大学园艺科学与工程学院,山东农业大学资源与环境学院,山东农业大学资源与环境学院

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中国博士后基金(20110491616)、高等学校博士学科点专项科研基金(20103702110010);山东农业大学博士后基金(89841)、科技部农转资金项目(2006GB2C600168)、山东省自主创新重大专项(2009ZHZX1B0801)


Estimation of SPAD Value of Apple Leaf in Different Phenophase Based on Hyperspectral Red Edge Parameters
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College of Resources and Environment, Shandong Agricultural University,College of Resources and Environment,Shandong Agricultural University;China;Key laboratory of agricultural ecology and environment of Shandong agricultural university;China;College of Horticulture Science and Engineering,Shandong Agricultural University;China,College of Horticulture Science and Engineering,Shandong Agricultural University,College of Resources and Environment, Shandong Agricultural University,College of Resources and Environment, Shandong Agricultural University

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    摘要:

    利用高光谱红边参数估测苹果叶片的SPAD值。以不同物候期的红富士苹果叶片为研究对象,采用ASD FieldSpec 3地物光谱仪和SPAD-502叶绿素计,测定了苹果叶片的高光谱反射率和SPAD值,分析了苹果花期、春梢停止生长期、秋梢停止生长期、苹果成熟期叶片的高光谱特征和SPAD值变化规律,研究了红边参数与叶片SPAD值的相关关系,建立了苹果叶片SPAD值的估测模型。不同物候期苹果叶片反射光谱波形曲线的变化规律基本相似;叶片SPAD值从苹果花期开始逐渐增加,至秋梢停止生长期达到最高峰,之后开始下降。苹果叶片高光谱红边位置λr、红边斜率Dr、红边面积Sr与SPAD值之间均达到了显著与极显著相关,但以红边位置参数λr与叶片SPAD值之间的相关性最为显著。以苹果不同物候期高光谱红边参数λr为自变量建立的叶片SPAD值经验估测模型与基于偏最小二乘法建立的不同物候期苹果叶片SPAD值校正模型,均以秋梢停止生长期的估测效果最佳,模型的检验精度分别为94.2%和96.7%,比较而言,以偏最小二乘法建立的苹果叶片SPAD值估测模型的稳定性和精确度较高。研究结果为高光谱遥感技术在苹果叶片叶绿素含量的快速、无损估测、营养诊断和高效管理中的应用提供了依据和技术支撑。

    Abstract:

    This paper is aim to estimate SPAD value of apple leaf using hyperspectral red edge parameters. With Fuji apple leaf of different phenophase as the research object, hyperspectral reflectance and SPAD value were measured by the ASD FieldSpec 3 spectrometer and the chlorophyll meter SPAD-502, respectively. The hyperspectral characteristic and variation rule of SPAD value were analyzed to florescence, spring shoots pause growth period, autumn shoots pause growth period and maturity period of apple. The correlations between the red edge parameters and apple leaf SPAD values were studied. The estimating models for apple leaf SPAD value were established. The results showed that the variation rules of reflectance curve waveform of apple leaf were similar to different phenophase.The leaf SPAD value increased gradually from the start of florescence and reached to the peak in the autumn shoots pause growth period, and then began to decline. The experience estimating models were established between the hyperspectral red edge parameter λr and leaf SPAD value and the correcting models were built to leaf SPAD value based on partial least squares in different phenophase. The best estimating effects of their models were the autumn shoots pause growth period. The test accuracy of their models was 94.2%, and 96.7%。The stability and precision of apple leaf SPAD value estimation model is higher by partial least squares. This study provided theoretical basis and technical support in the application of apple leaf chlorophyll content using hyperspectral remote sensing for the rapid, non-destructive estimation, nutrition diagnosis and efficient management.

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朱西存,赵庚星,姜远茂,等.基于高光谱红边参数的不同物候期苹果叶片的SPAD值估测[J].红外,2011,32(12):31-38.

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  • 收稿日期:2011-10-20
  • 最后修改日期:2011-10-27
  • 录用日期:2011-10-28
  • 在线发布日期: 2012-01-06
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