详细信息
雷竹冠层叶片反射光谱特征及其对叶片水分变化的响应 被引量:7
Spectral Reflectance Characteristics of Phyllostachys violascens Canopy Leaves in Response to Water Change
文献类型:期刊文献
中文题名:雷竹冠层叶片反射光谱特征及其对叶片水分变化的响应
英文题名:Spectral Reflectance Characteristics of Phyllostachys violascens Canopy Leaves in Response to Water Change
作者:张玮[1] 王鑫梅[2] 潘庆梅[2] 谢锦忠[1] 张劲松[2] 孟平[2]
第一作者:张玮
机构:[1]中国林业科学研究院亚热带林业研究所,浙江杭州311400;[2]中国林业科学研究院林业研究所,北京100091
年份:2019
卷号:32
期号:3
起止页码:73-79
中文期刊名:林业科学研究
外文期刊名:Forest Research
收录:CSTPCD;;Scopus;北大核心:【北大核心2017】;CSCD:【CSCD2019_2020】;
基金:中国林科院中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2016SY011)
语种:中文
中文关键词:雷竹;冠层叶片;水分;反射光谱指数
外文关键词:Phyllostachys violascens;canopy leaves;leaf water content;spectral reflectance
分类号:S718.43;S795
摘要:[目的]研究雷竹冠层叶片反射光谱特征及其水分敏感波段,筛选与叶片水分指标相关性较高的光谱指数,为雷竹叶片水分的非破坏性估算提供参考。[方法]以重要笋用竹种雷竹为研究对象,通过自然失水法研究叶片反射光谱对叶片水分变化的响应特征,以常用反射光谱指数对叶片水分指标进行相关性检验,对不同反射光谱指数与叶片相对含水量进行了回归方程拟合。[结果]雷竹叶片含水量与其光谱反射率在近红外区呈负相关关系;光谱反射率敏感性分析表明,在1400~1600、1800~2000nm波段附近,光谱反射率对叶片水分变化较其他波段敏感;不同光谱指数与叶片水分指标的相关性分析及回归方程拟合结果表明,在所选光谱指数中水分胁迫指数MSI(R820/R1600)、比值指数SRI(R1300/R1450)与叶片相对含水量的拟合效果较好。[结论]雷竹叶片水分含量与其光谱反射率在近红外区,尤其1400~1600、1800~2000nm波段附近呈负相关关系,水分胁迫指数MSI(R820/R1600)、比值指数SRI(R1300/R1450)对雷竹叶片相对含水量的估算精度较其它光谱指数更高。
[Objective] To study the water-sensitive reflectance spectra bands of Phyllostachys violascens canopy leaves and screen the suitable reflectance spectral indexes of leaf water content,aiming at nondestructive estimation of leaf water content.[Method] The present study investigated the canopy leaf reflectance spectrum characteristics of Ph.violascens during isolated natural water loss process.The correlation between reflectance spectral indexes and leaf water indicators were calculated and analyzed.The regression equation between leaf relative water content ( RWC ) and reflectance spectral indexes were also calculated.[Result] The leaf water content and its spectral reflectance were negatively correlated in the near-infrared region.The spectral reflectance sensitivity analysis showed that the spectral reflectance in 1 400~1 600 nm and 1 800~2 000 nm was significantly changed with the decrease of the leaf water content.Correlation analysis and regression model between different spectral reflectance indexes and RWC showed that moisture stress index MSI (R820 /R1600) and simple ratio index SRI (R1300/R1450) had higher correlation with RWC.[Conclusion] The leaf water content has negative correlation with the spectral reflectance in the near-infrared region especially 1 400~1 600 nm and 1 800~2 000 nm.The MSI (R820/R1600) and simple ratio index SRI (R1300/R1450) has higher accuracy for estimating RWC of Ph.violascens leaves than other reflectance spectral indexes.
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