欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2014, Vol. 40 ›› Issue (08): 1443-1451.doi: 10.3724/SP.J.1006.2014.01443

• 耕作栽培·生理生化 • 上一篇    下一篇

利用鱼眼影像技术反演不同株型水稻的冠层结构参数

胡凝1,吕川根2,*,姚克敏1,张晓翠3   

  1. 1 南京信息工程大学 应用气象学院江苏省农业气象重点实验室, 江苏南京 210044; 2 江苏省农业科学院 粮食作物研究所, 江苏南京 210014; 3 扬州大学农学院, 江苏扬州 225009
  • 收稿日期:2013-09-22 修回日期:2014-04-16 出版日期:2014-08-12 网络出版日期:2014-06-03
  • 通讯作者: 吕川根, E-mail: rb8@jaas.ac.cn
  • 基金资助:

    本研究由国家自然科学基金项目(30871479)和江苏省农业气象重点实验室开放课题(KYQ1203)资助。

Inversion of Rice Canopy Construction Parameters from the Hemispherical Photograph

HU Ning1,L? Chuan-Gen2,*,YAO Ke-Min1,ZHANG Xiao-Cui3   

  1. 1 College of Applied Meteorology, Nanjing University of Information Science & Technology, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing 210044, Jiangsu, China; 2 Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, Jiangsu, China; 3 Agricultural College, Yangzhou University, Yangzhou 225009, Jiangsu, China
  • Received:2013-09-22 Revised:2014-04-16 Published:2014-08-12 Published online:2014-06-03
  • Contact: 吕川根, E-mail: rb8@jaas.ac.cn

RichHTML

PDF

852

被引次数

5

摘要：

 快速、可靠、精确地评估植被冠层结构参数在大气-植被相互作用的研究中起着举足轻重的作用。为探明鱼眼影像在水稻冠层结构研究中的应用前景, 本研究选择3种不同冠层结构的水稻品种作为研究对象, 利用带有鱼眼镜头的数码相机在冠层的8个不同高度分别拍摄冠层影像, 通过对影像的预处理提取冠层间隙度参数, 根据冠层内辐射环境与冠层结构之间的定量化关系, 利用Beer-Lambert定律反演水稻冠层的叶面积指数(leaf area index, LAI)和平均叶倾角(mean leaf angle, MLA)。研究结果表明, 鱼眼影像反演的LAI均方根误差(root mean square error, RMSE)为1.2~1.5, 相对误差(relative error, RE)为18.6%~22.5%, 仅比人工测定结果低估7.6%~13.1%, 优于Sunscan的测定结果。其次, 反演的MLA与人工测定结果之间有较好的一致性, 相关系数为0.9205**, RMSE为11.7°, RE为16.1%。研究结果表明, 鱼眼影像反演水稻冠层结构是可行的方法。

关键词: 鱼眼影像, 水稻, 冠层结构参数, 叶面积指数, 平均叶倾角

Abstract:

 It is important to find a fast, reliable and accurate method for estimating canopy construction parameters in the study of vegetation-climate interaction. In the present study, three rice varieties with different canopy structures were chosen as experimental materials. A digital camera with a fisheye lens was used to take photos in eight heights of rice canopy to develop a new approach for concluding rice canopy. Canopy gaps were extracted from those photos, and then leaf area index (LAI) and mean leaf angle (MLA) could be inversed by Beer-Lambert theory, based on the quantitative relationship between the radiation condition and the canopy structure. Results showed that LAI inverted from the hemispherical photograph was 7.6%–13.1% less than that measured manually, and the root mean square error (RMSE) between them was 1.20–1.45. The data showed that hemispherical photography was better than Sunscan canopy system. Moreover, MLA inverted from the hemispherical photograph was related to that measured manually with 0.9205** of correlation coefficient and 11.7° of RMSE. Therefore, hemispherical photography is a feasible technology to indirectly measure the rice canopy structure.

Key words: Hemispherical photograph, Rice, Canopy construction parameter, Leaf area index, Mean leaf angle

[1]Rich P M. Characterizing plant canopies with hemispherical photography. Remote Sens, 1990, 5: 13–19



[2]Chen J M, Black T A, Adams R S. Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand. Agric For Meteorol, 1991, 56: 129–143



[3]Fournier R A, Landry R, August N M, Fedosejevs G, Gauthier R P. Modelling light obstruction in three conifer forests using hemispherical photography and fine tree architecture. Agric For Meteorol, 1996, 82: 47–72



[4]Frazer G W, Fournier R A, Trofymowc J A, Hall R J. A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission. Agric For Meteorol, 2001, 109: 249–263



[5]Evans G C, Coombe D E. Hemispherical and woodland canopy photography and the light climate. J Ecol, 1959, 47: 103–113



[6]Macfarlane C. Classification method of mixed pixels does not affect canopy metrics from digital images of forest over storey. Agric For Meteorol, 2011, 151: 833–840



[7]Liu J, Pattey E. Retrieval of leaf area index from top-of-canopy digital photography over agricultural crops. Agric For Meteorol, 2010, 150: 1485–1490



[8]Macfarlane C, Grigg A, Evangelista C. Estimating forest leaf area using cover and full frame fisheye photography: Thinking inside the circle. Agric For Meteorol, 2007, 146: 1–12



[9]Chianucci F, Cutini A. Estimation of canopy properties in deciduous forests with digital hemispherical and cover photography. Agric For Meteorol, 2013, 168: 130-139



[10]赵传燕, 沈卫华, 彭焕华. 祁连山区青海云杉林冠层叶面积指数的反演方法. 植物生态学报, 2009, 33: 860–869



Zhao C Y, Shen W H, Peng H H. Methods for determining canopy leaf area index of Picea crassifolia forest in Qilian Mountains, China. Chin J Plant Ecol, 2009, 33: 860–869 (in Chinese with English abstract)



[11]马泽清, 刘琪碌, 曾慧卿, 李轩然, 陈永瑞, 林耀明, 张时煌, 杨风亭, 汪宏清. 南方人工林叶面积指数的摄影测量. 生态学报, 2008, 28: 1971–1980



Ma Z Q, Liu Q L, Zeng H Q, Li X R, Chen Y R, Lin Y M, Zhang S H, Yang F T, Wang H Q. Estimation of leaf area index of planted forests in subtropical China by photogrammetry. Acta Ecol Sin, 2008, 28: 1971–1980 (in Chinese with English abstract)



[12]Demarez V, Duthoit S, Baret F, Weiss M, Dedieu G. Estimation of leaf area and clumping indexes of crops with hemispherical photographs. Agric For Meteorol, 2008, 148: 644–655



[13]Zhou L, Pan G, Shi Z. Methodology Comparison for Effective LAI Retrieving Based on Digital Hemispherical Photograph in Rice Canopy. In: Li D, Liu Y, Chen Y, eds. Computer and Computing Technologies in Agriculture IV. Springer Berlin Heidelberg, 2011. pp 71–82



[14]肖潇, 杨国光, 白剑. 基于球面透视投影约束的全景环形透镜畸变校正. 光学学报, 2008, 28: 675–680



Xiao X, Yang G G, Bai J. Panoramic-annular-lens distortion correction based on spherical perspective projection constraint. Acta Optica Sin, 2008, 28: 675–680 (in Chinese with English abstract)



[15]Norman J M, Campbell G S. Canopy structure. In: Pearcy R W, Ehleringer J R, Mooney H A. Plant Physiological Ecology. Field Methods and Instrumentation, London: Chapman and Hall, 1989. pp 301–325



[16]Welles J M, Norman J M. Instrument for indirect measurement of canopy architecture. Agron J, 1991, 83: 818–825



[17]Nobis M, Hunziker U. Automatic thresholding for hemispherical canopy-photographs based on edge diction. Agric For Meteorol, 2005, 128: 243–250



[18]Leblanc S G, Chen J M, Fernandes R, Deering D W, Conley A. Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agric For Meteorol, 2005, 129: 187–207



[19]Miller J B. A formula for average foliage density. Aust J Bot, 1967, 15: 141–144



[20]Lang A R G. Leaf area and average leaf angle from transmission of direct sunlight. Aust J Bot, 1986, 34: 349–355



[21]潘永地, 姚克敏, 胡雪琼. 杂交水稻株型因素的相关性及其规律. 南京气象学院学报, 2003, 26: 538–544



Pan Y D, Yao K M, Hu X Q. Correlation of plant-type factors of hybrid rice and its regularity. J Nanjing Inst Meteor, 2003, 26: 538–544 (in Chinese with English abstract)



[22]丁圣彦, 卢训令, 李昊民. 天童国家森林公园常绿阔叶林不同演替阶段群落光环境特征比较. 生态学报, 2005, 25: 2862–2867



Ding S Y, Lu X L, Li H M. A comparison of light environmental characteristics for evergreen broad-leaved forest communities from different successional stages in Tiantong National Forest Park. Acta Ecol Sin, 2005, 25: 2862–2867 (in Chinese with English abstract)



[23]罗俊, 张华, 邓祖湖, 徐良年, 高三基, 陈如凯, 陈由强. 甘蔗不同叶位叶片形态与冠层特征的关系. 应用与环境生物学报, 2005, 11: 28–31



Luo J, Zhang H, Deng Z H, Xu L N, Gao S J, Chen R K, Chen Y Q. Relationship between canopy characters and leaf morphology at different position. Chin J Appl Environ Biol, 2005, 11: 28–31 (in Chinese with English abstract)



[24]姚克敏, 胡凝, 吕川根, 黄凤新. 鱼眼影像技术反演植被冠层结构参数的研究进展. 南京气象学院学报, 2008, 31: 139–144



Yao K M, Hu N, Lü C G, Huang F X. Advances in canopy structure parameters retrieval using hemispherical photography. J Nanjing Inst Meteorol, 2008, 31: 139–144 (in Chinese with English abstract)



[25]Zhang Y, Chen J M, Miller J R. Determining exposure of digital hemispherical photographs for leaf area index estimation. Agric For Meteorol, 2005, 133: 166–181



[26]Englund S R, O′Brien J J, Clark D B. Evaluation of digital and film hemispherical photography and spherical densitometry for measuring forest light environments. Can J For Res, 2000, 30: 1999–2005



[27]Macfarlane C, Coote M, White D A. Photographic exposure affects indirect estimation of leaf area in plantations of Eucalyptus globulus labill. Agric For Meteorol, 2000, 100: 155–168
[1] 田甜, 陈丽娟, 何华勤. 基于Meta-QTL和RNA-seq的整合分析挖掘水稻抗稻瘟病候选基因[J]. 作物学报, 2022, 48(6): 1372-1388.
[2] 郑崇珂, 周冠华, 牛淑琳, 和亚男, 孙伟, 谢先芝. 水稻早衰突变体esl-H5的表型鉴定与基因定位[J]. 作物学报, 2022, 48(6): 1389-1400.
[3] 周文期, 强晓霞, 王森, 江静雯, 卫万荣. 水稻OsLPL2/PIR基因抗旱耐盐机制研究[J]. 作物学报, 2022, 48(6): 1401-1415.
[4] 郑小龙, 周菁清, 白杨, 邵雅芳, 章林平, 胡培松, 魏祥进. 粳稻不同穗部籽粒的淀粉与垩白品质差异及分子机制[J]. 作物学报, 2022, 48(6): 1425-1436.
[5] 颜佳倩, 顾逸彪, 薛张逸, 周天阳, 葛芊芊, 张耗, 刘立军, 王志琴, 顾骏飞, 杨建昌, 周振玲, 徐大勇. 耐盐性不同水稻品种对盐胁迫的响应差异及其机制[J]. 作物学报, 2022, 48(6): 1463-1475.
[6] 杨建昌, 李超卿, 江贻. 稻米氨基酸含量和组分及其调控[J]. 作物学报, 2022, 48(5): 1037-1050.
[7] 杨德卫, 王勋, 郑星星, 项信权, 崔海涛, 李生平, 唐定中. OsSAMS1在水稻稻瘟病抗性中的功能研究[J]. 作物学报, 2022, 48(5): 1119-1128.
[8] 朱峥, 王田幸子, 陈悦, 刘玉晴, 燕高伟, 徐珊, 马金姣, 窦世娟, 李莉云, 刘国振. 水稻转录因子WRKY68在Xa21介导的抗白叶枯病反应中发挥正调控作用[J]. 作物学报, 2022, 48(5): 1129-1140.
[9] 王小雷, 李炜星, 欧阳林娟, 徐杰, 陈小荣, 边建民, 胡丽芳, 彭小松, 贺晓鹏, 傅军如, 周大虎, 贺浩华, 孙晓棠, 朱昌兰. 基于染色体片段置换系群体检测水稻株型性状QTL[J]. 作物学报, 2022, 48(5): 1141-1151.
[10] 王泽, 周钦阳, 刘聪, 穆悦, 郭威, 丁艳锋, 二宫正士. 基于无人机和地面图像的田间水稻冠层参数估测与评价[J]. 作物学报, 2022, 48(5): 1248-1261.
[11] 陈悦, 孙明哲, 贾博为, 冷月, 孙晓丽. 水稻AP2/ERF转录因子参与逆境胁迫应答的分子机制研究进展[J]. 作物学报, 2022, 48(4): 781-790.
[12] 王吕, 崔月贞, 吴玉红, 郝兴顺, 张春辉, 王俊义, 刘怡欣, 李小刚, 秦宇航. 绿肥稻秆协同还田下氮肥减量的增产和培肥短期效应[J]. 作物学报, 2022, 48(4): 952-961.
[13] 巫燕飞, 胡琴, 周棋, 杜雪竹, 盛锋. 水稻延伸因子复合体家族基因鉴定及非生物胁迫诱导表达模式分析[J]. 作物学报, 2022, 48(3): 644-655.
[14] 陈云, 李思宇, 朱安, 刘昆, 张亚军, 张耗, 顾骏飞, 张伟杨, 刘立军, 杨建昌. 播种量和穗肥施氮量对优质食味直播水稻产量和品质的影响[J]. 作物学报, 2022, 48(3): 656-666.
[15] 王琰, 陈志雄, 姜大刚, 张灿奎, 查满荣. 增强叶片氮素输出对水稻分蘖和碳代谢的影响[J]. 作物学报, 2022, 48(3): 739-746.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2