| 基于高光谱反射率的糜子冠层叶片叶绿素含量估算 |
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| 引用本文： | 韩浩坤,妙佳源,张钰玉,张大众,宗国豪,宫香伟,李境,冯佰利.基于高光谱反射率的糜子冠层叶片叶绿素含量估算[J].干旱地区农业研究,2018,36(1):164-170. |
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| 作者姓名： | 韩浩坤 妙佳源 张钰玉 张大众 宗国豪 宫香伟 李境 冯佰利 |
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| 作者单位： | 旱区作物逆境生物学国家重点实验室西北农林科技大学农学院; |
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| 基金项目： | 国家自然科学基金项目(31371529)；国家“十二五”科技支撑计划(2014BAD07B03)；谷子糜子产业技术体系项目(CARS-07-13.5-A9) |
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| 摘 要： | 连续两年大田试验研究不同糜子品种叶绿素含量与冠层光谱反射率,并基于不同植被指数建立糜子叶片叶绿素含量的估测模型。结果表明,参试糜子品种叶绿素含量在整个生育期呈现"低-高-低"的抛物线变化趋势,最大值出现在抽穗期到开花期之间;不同品种各生育期内冠层光谱反射率趋势一致,在近红外波段,冠层光谱反射率与叶绿素含量呈稳定正相关,灌浆初期光谱反射率达到最大值;可见光波段,拔节期、开花期和灌浆初期冠层光谱反射率与冠层叶绿素含量呈正相关,成熟期呈负相关;糜子冠层叶绿素含量与760~900、630~690、550 nm波段组合的植被指数具有较高相关性;基于RVI、PSNDb、GNDVI750能较好地建立糜子叶绿素含量统一检测模型,决定系数分别为0.791、0.779、0.748;模型验证的相对误差分别为9.58%、8.93%、11.80%;均方根误差分别为0.045、0.140、0.196。表明利用RVI、PSNDb、GNDVI750建立的模型能较为准确地预测糜子冠层叶绿素含量。
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| 关 键 词： | 糜子 叶绿素含量 高光谱反射率 植被指数 |
Estimating chlorophyll content of proso millet canopy by hyperspectral reflectance |
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| HAN Hao-kun,MIAO Jia-yuan,ZHANG Yu-yu,ZHANG Da-zhong,ZONG Guo-hao,GONG Xiang-wei,LI Jing,FENG Bai-li.Estimating chlorophyll content of proso millet canopy by hyperspectral reflectance[J].Agricultural Research in the Arid Areas,2018,36(1):164-170. |
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| Authors: | HAN Hao-kun MIAO Jia-yuan ZHANG Yu-yu ZHANG Da-zhong ZONG Guo-hao GONG Xiang-wei LI Jing FENG Bai-li |
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| Institution: | State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China,State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China,State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China,State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China,State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China,State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China,State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China and State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China |
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| Abstract: | |
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| Keywords: | proso millet chlorophyll content hyperspectral reflectance vegetation index |
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