| 基于红边参数不同品种的估算模型 |
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| 引用本文： | 葛元梅,陈翔宇,洪帅,马露露,吕新,张泽.基于红边参数不同品种的估算模型[J].新疆农业科学,2019,56(6):1032-1040. |
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| 作者姓名： | 葛元梅 陈翔宇 洪帅 马露露 吕新 张泽 |
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| 作者单位： | 1.石河子大学农学院/新疆生产建设兵团绿洲生态农业重点实验室,新疆石河子 832003;2.石河子大学生命科学学院,新疆石河子 832003 |
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| 基金项目： | 兵团应用基础研究计划项目(2016AG002);中国博士后科学基金(2017M623282);石河子大学高层次人才科研启动项目(RC2X201516)资助 |
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| 摘 要： | 【目的】利用红边参数的动态变化规律建立不同品种滴灌棉花叶面积指数估测模型。【方法】以棉花品种新陆早50号、新陆早58号和鲁棉研24号(杂交棉)为材料,分析LAI和红边位置的动态变化,构建滴灌棉花叶片红边参数-LAI估算模型。【结果】LAI增长最快时期均出现在40~70 d,不同品种滴灌棉花的LAI增长速率有明显的差异,表现为:鲁棉研24号>新陆早50号>新陆早58号;不同品种棉花均在病虫害发生期出现蓝移现象,在棉花正常生长下,出现红移现象。红边参数与LAI均达到极显著相关,构建3个估算模型中,鲁棉研24号精度最高(R2=0.816 8 ,RMSE=0.77)。【结论】建立的估算模型均可对LAI进行有效估测。
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| 关 键 词： | 棉花 高光谱 叶面积指数 红边参数 遥感 |
Establishment of Estimation Model for Different Varieties Based on Red Edge Parameters |
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| GE Yuan-mei,CHEN Xiang-yu,HONG Shuai,MA Lu-lu,L Xin,ZHANG Ze.Establishment of Estimation Model for Different Varieties Based on Red Edge Parameters[J].Xinjiang Agricultural Sciences,2019,56(6):1032-1040. |
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| Authors: | GE Yuan-mei CHEN Xiang-yu HONG Shuai MA Lu-lu L Xin ZHANG Ze |
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| Institution: | 1. Key Laboratory of Oasis Eco-agriculture of Xinjiang Production and Construction Corps / College of Agronomy, Shihezi University, Shihezi Xinjiang 832000, China;2. College of Life Sciences, Shihezi University, Shihezi Xinjiang 832000, China |
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| Abstract: | 【Objective】 To establish the leaf area index estimation model of different varieties of drip irrigation by using the dynamic variation rule of red-edge parameters. 【Method】Taking Xinluzao No.50, Xinluzao No.58 and Lumianyan No. 24 (hybrid cotton) as experimental materials, the dynamic changes of LAI and red edge position were analyzed, and the estimation model of leaf red edge parameter -LAI of drip irrigation cotton was constructed.【Result】The fastest growing period of LAI appeared between 40 and 70 days, but the LAI growth rates of different varieties of drip-irrigation cotton showed obvious differences, which were as follows: Lumianyan No.24 > Xinluzao No.50 > Xinluzao No.58. In this experiment, different varieties of cotton showed blue shift during the occurrence of pests and diseases, and red shift under normal growth of cotton. In this experiment, the red edge parameters were significantly correlated with LAI. Among the three estimation models, Lumianyan No.24 had the highest accuracy (R2 = 0.816,8, RMSE = 0.77).【Conclusion】The LAI can be effectively estimated by the established estimation models. The experimental results can provide theoretical basis for promoting the development of precision agriculture in Xinjiang. |
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| Keywords: | cotton hyperspectral leaf area index red edge parameter remote sensing |
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