估测水稻叶层氮浓度的新型蓝光氮指数

被引：11

作者：

田永超

杨杰

姚霞

朱艳

曹卫星

机构：

[1] 南京农业大学江苏省信息农业高技术研究重点实验室

来源：

应用生态学报 | 2010年 / 21卷 / 04期

关键词：

水稻; 叶层; 氮浓度; 高光谱植被指数; 蓝光氮指数[R434/(R496+R401)];

D O I：

10.13287/j.1001-9332.2010.0142

中图分类号：

S511 [稻];

学科分类号：

摘要：

基于不同氮素水平与品种类型的多个田间试验,综合分析了水稻冠层高光谱植被指数与叶层氮浓度的定量关系.结果表明:对氮反应最敏感的波段为红光665～675nm、蓝光490～500nm和红边区域波段680～760nm.400～2500nm波段范围内两波段植被指数与水稻叶层氮浓度相关性最好的是550～600nm与500～550nm,属绿光波段组合,决定系数(R2)最高的是比值指数SR(533,565).以3个蓝光波段构建的光谱参数R434/(R496+R401)(蓝光氮指数)与水稻叶层氮浓度呈极显著的直线相关关系,与SR(533,565)相比,该参数显著提高了对叶层氮浓度的预测性.独立资料检验结果显示,R434/(R496+R401)对水稻叶层氮浓度具有较好的预测性,检验根均方差(RMSE)和相对误差(RE)值分别为9.67%和8%,是一种适合于水稻叶层氮浓度估测的良好高光谱植被指数.

引用

页码：966 / 972

页数：7

共 14 条

[1] 高光谱植被指数与水稻叶面积指数的定量关系[J]. 田永超,杨杰,姚霞,朱艳,曹卫星.应用生态学报. 2009(07)
[2] 区域水稻穗期叶片氮素的遥感估测初探
张浩
姚旭国
张小斌
郑可锋
[J]. 核农学报, 2009, 23 (03) : 364 - 368
[3] Developing Strategies for Spatially Variable Nitrogen Application in Cereals, Part II: Wheat[J] . J.P Welsh,G.A Wood,R.J Godwin,J.C Taylor,R Earl,S Blackmore,S.M Knight.Biosystems Engineering . 2003 (4)
[4] Quantifying nitrogen status of corn （ Zea mays L.） in the field by reflectance measurements[J] . Simone Graeff,Wilhelm Claupein.European Journal of Agronomy . 2003 (4)
[5] Hyperspectral reflectance of emergent macrophytes as an indicator of water column ammonia in an oligohaline, subtropical marsh[J] . David Rogers Tilley,Muneer Ahmed,Ji Ho Son,Harish Badrinarayanan.Ecological Engineering . 2003 (2)
[6] Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression
Hansen, PM
Schjoerring, JK
[J]. REMOTE SENSING OF ENVIRONMENT, 2003, 86 (04) : 542 - 553
[7] Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages[J] . Daniel A Sims,John A Gamon.Remote Sensing of Environment . 2002 (2)
[8] Visible/near infrared reflectance and chlorophyll content in Eucalyptus leaves
Datt, B
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1999, 20 (14) : 2741 - 2759
[9] Remote Sensing of Chlorophyll a , Chlorophyll b , Chlorophyll a + b , and Total Carotenoid Content in Eucalyptus Leaves[J] . Bisun Datt.Remote Sensing of Environment . 1998 (2)
[10] Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves[J] . G. A. Blackburn.International Journal of Remote Sensing . 1998 (4)

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