欢迎访问作物学报,今天是

作物学报 ›› 2008, Vol. 34 ›› Issue (11): 2046-2052.doi: 10.3724/SP.J.1006.2008.02046

• 研究简报 • 上一篇    下一篇

玉米和大豆光合有效辐射吸收比例与植被指数和叶面积指数的关系

杨飞1,2;张柏1,*;宋开山1;王宗明1;刘焕军1,2;杜嘉1,2   

  1. 1中国科学院东北地理与农业生态研究所,吉林长春130012; 2中国科学院研究生院,北京100039
  • 收稿日期:2008-03-17 修回日期:1900-01-01 出版日期:2008-11-13 网络出版日期:2008-09-06
  • 通讯作者: 张柏

Relationship between Fraction of Photosynthetically Active Radiation and Vegetation Indices, Leaf Area Index of Corn and Soybean

YANG Fei12, ZHANG Bai1*,SONG Kai-Shan1,WANG Zong-Ming1,LIU Huan-Jun12,DU Jia12   

  1. 1 Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, Jilin; 2 Graduate School of Chinese Academy of Sciences, Beijing 100039, China
  • Received:2008-03-17 Revised:1900-01-01 Published:2008-11-13 Published online:2008-09-06
  • Contact: ZHANG Bai
  • Supported by:

    国家自然科学基金项目(40871187);中国科学院东北振兴科技行动计划重点项目(DBZX-2-030);中国科学院知识创新工程重要方向项目(KZCX-SW-356);中国科学院长春净月潭遥感实验站开放基金

摘要:

基于东北典型黑土区的玉米和大豆的实测光谱反射率、光合有效辐射及叶面积数据,选取常用的9种植被指数,并根据光谱曲线特征和植被指数结构建立了两种新的植被指数,对其估算玉米和大豆冠层FPAR效果进行了对比分析。结果表明,各植被指数与冠层光合有效辐射吸收比例(FPAR)的关系因植被类型而异。以近、短波红外波段较以可见光、近红外波段计算植被指数的估算效果好。NDVI、RVI在可见光、近红外波段计算的植被指数中估算FPAR效果较好,玉米估算模型R2分别为0.81和0.82,大豆估算模型R2均为0.81;NDSI、RSI在近、短波红外波段计算的植被指数中较好,玉米估算模型R2均为0.86,大豆估算模型R2均为0.84,优于NDVI和RVI。试验表明,利用近、短波红外波段估算FPAR是可行的;冠层含水量较土壤背景对FPAR影响更大;玉米和大豆冠层FPAR与叶面积指数(LAI)呈较好的对数关系,估算模型R2分别为0.75和0.70;但用植被指数估算FPAR效果要优于用叶面积指数。

关键词: 玉米, 大豆, 光合有效辐射吸收比例, 植被指数, 叶面积指数

Abstract:

Based on the measured reflectance, photosynthetically active radiation, and leaf area index (LAI), nine common vegetation indices and two vegetation indices, developed by the authors according to the characteristic of reflectance curves and the vegetation index structures, were used to estimate fraction of photosynthetically active radiation (FPAR) in corn (Zea mays L.) and soybean [Glycine max (L.) Merri.]. The relationships between vegetation indices and FPAR differed in different vegetation types. The performances of of near infrared and shortwave bands were better than these of visible and near infrared bands in FPAR estimatin by vegetation indices. Normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) were the best in the vegetation indices calculated by reflectance in visible and near infrared bands for FPAR estimation, with R2 of estimating models 0.82 and 0.81 for corn, both of 0.81 for soybean. Normalized difference shortwave index (NDSI) and ratio shortwave index (RSI) were best in the vegetation indices calculated by near infrared and shortwave bands with almost the same R2 values for NDSI and RSI in corn (0.86) and soybean (0.84). It is suggested that the near infrared and shortwave bands are feasible to be used for FPAR estimation. According to the field experiments, the water content of vegetation canopy had larger effect on FPAR estimation than soil background. The canopy FPAR and LAI showed good logarithm relations in corn and soybean canopy with R2 values of 0.75 and 0.70, respectively, indicating that vegetation indices are better than LAI for FPAR estimation.

Key words: Corn, Soybean, Fraction of photosynthetically active radiation, Vegetation index, Leaf area index

[1] 肖颖妮, 于永涛, 谢利华, 祁喜涛, 李春艳, 文天祥, 李高科, 胡建广. 基于SNP标记揭示中国鲜食玉米品种的遗传多样性[J]. 作物学报, 2022, 48(6): 1301-1311.
[2] 崔连花, 詹为民, 杨陆浩, 王少瓷, 马文奇, 姜良良, 张艳培, 杨建平, 杨青华. 2个玉米ZmCOP1基因的克隆及其转录丰度对不同光质处理的响应[J]. 作物学报, 2022, 48(6): 1312-1324.
[3] 陈玲玲, 李战, 刘亭萱, 谷勇哲, 宋健, 王俊, 邱丽娟. 基于783份大豆种质资源的叶柄夹角全基因组关联分析[J]. 作物学报, 2022, 48(6): 1333-1345.
[4] 王丹, 周宝元, 马玮, 葛均筑, 丁在松, 李从锋, 赵明. 长江中游双季玉米种植模式周年气候资源分配与利用特征[J]. 作物学报, 2022, 48(6): 1437-1450.
[5] 杨欢, 周颖, 陈平, 杜青, 郑本川, 蒲甜, 温晶, 杨文钰, 雍太文. 玉米-豆科作物带状间套作对养分吸收利用及产量优势的影响[J]. 作物学报, 2022, 48(6): 1476-1487.
[6] 陈静, 任佰朝, 赵斌, 刘鹏, 张吉旺. 叶面喷施甜菜碱对不同播期夏玉米产量形成及抗氧化能力的调控[J]. 作物学报, 2022, 48(6): 1502-1515.
[7] 徐田军, 张勇, 赵久然, 王荣焕, 吕天放, 刘月娥, 蔡万涛, 刘宏伟, 陈传永, 王元东. 宜机收籽粒玉米品种冠层结构、光合及灌浆脱水特性[J]. 作物学报, 2022, 48(6): 1526-1536.
[8] 王炫栋, 杨孙玉悦, 高润杰, 余俊杰, 郑丹沛, 倪峰, 蒋冬花. 拮抗大豆斑疹病菌放线菌菌株的筛选和促生作用及防效研究[J]. 作物学报, 2022, 48(6): 1546-1557.
[9] 单露英, 李俊, 李亮, 张丽, 王颢潜, 高佳琪, 吴刚, 武玉花, 张秀杰. 转基因玉米NK603基体标准物质研制[J]. 作物学报, 2022, 48(5): 1059-1070.
[10] 于春淼, 张勇, 王好让, 杨兴勇, 董全中, 薛红, 张明明, 李微微, 王磊, 胡凯凤, 谷勇哲, 邱丽娟. 栽培大豆×半野生大豆高密度遗传图谱构建及株高QTL定位[J]. 作物学报, 2022, 48(5): 1091-1102.
[11] 李阿立, 冯雅楠, 李萍, 张东升, 宗毓铮, 林文, 郝兴宇. 大豆叶片响应CO2浓度升高、干旱及其交互作用的转录组分析[J]. 作物学报, 2022, 48(5): 1103-1118.
[12] 彭西红, 陈平, 杜青, 杨雪丽, 任俊波, 郑本川, 罗凯, 谢琛, 雷鹿, 雍太文, 杨文钰. 减量施氮对带状套作大豆土壤通气环境及结瘤固氮的影响[J]. 作物学报, 2022, 48(5): 1199-1209.
[13] 王好让, 张勇, 于春淼, 董全中, 李微微, 胡凯凤, 张明明, 薛红, 杨梦平, 宋继玲, 王磊, 杨兴勇, 邱丽娟. 大豆突变体ygl2黄绿叶基因的精细定位[J]. 作物学报, 2022, 48(4): 791-800.
[14] 许静, 高景阳, 李程成, 宋云霞, 董朝沛, 王昭, 李云梦, 栾一凡, 陈甲法, 周子键, 吴建宇. 过表达ZmCIPKHT基因增强植物耐热性[J]. 作物学报, 2022, 48(4): 851-859.
[15] 刘磊, 詹为民, 丁武思, 刘通, 崔连花, 姜良良, 张艳培, 杨建平. 玉米矮化突变体gad39的遗传分析与分子鉴定[J]. 作物学报, 2022, 48(4): 886-895.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!