[1]徐新娟,张晋玉,晁毛妮,等.基于冠层反射光谱的大豆生物量预测模型研究[J].黑龙江农业科学,2017,(09):119-123.[doi:10.11942/j.issn1002-2767.2017.09.0119]
　XU Xin-juan,ZHANG Jin-yu,CHAO Mao-ni,et al.Study on Soybean Biomass Forecasting Model Based on Canopy Reflectance Spectra[J].HEILONGJIANG AGRICULTURAL SCIENCES,2017,(09):119-123.[doi:10.11942/j.issn1002-2767.2017.09.0119]
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基于冠层反射光谱的大豆生物量预测模型研究

《黑龙江农业科学》[ISSN:1002-2767/CN:23-1204/S] 卷: 期数: 2017年09期 页码: 119-123 栏目: 出版日期: 2017-09-10
Title:
Study on Soybean Biomass Forecasting Model Based on Canopy Reflectance Spectra
文章编号:
1002-2767（2017）09-0119-05
作者:
徐新娟; 张晋玉; 晁毛妮; 王小龙; 黄中文
河南科技学院 生命科技学院/现代生物育种河南省协同创新中心，河南 新乡 453003
Author(s):
XU Xin-juan; ZHANG Jin-yu; CHAO Mao-ni; WANG Xiao-long; HUANG Zhong-wen
School of Life Science and Technology,Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding of Henan Province,Xinxiang,Henan 453003
关键词:
遥感; 植被指数; 生物量; 预测模型; 大豆
Keywords:
remote sensing;  vegetation index;  biomass;  forecasting model;  soybean
分类号:
TP79；S565.1
DOI:
10.11942/j.issn1002-2767.2017.09.0119
文献标志码:
A
摘要:
生物量与产量密切相关，建立生物量无损预测模型对于大豆产量预测及栽培管理均有重要意义。通过分析大豆生物量积累量与冠层光谱反射率及其衍生的比值植被指数（RVI）、归一化植被指数 （NDVI）及差值植被指数（DVI）之间的关系，确立大豆生物量积累量的敏感波段及预测模型。结果表明：冠层光谱反射率在560 nm时与大豆地上生物量相关系数最大（R=-0.91，P<0.05），三个可见光波段（485、560和660 nm）和两个近红外波段（830和1 650 nm）组成的比值植被指数RVI（830和560 nm）与大豆生物量积累量的相关系数显著。通过逐步回归分析确立大豆生物量的预测模型，560 nm反射率与大豆地上生物量相关关系的决定指数R2高达0.85，RVI 830_560与大豆地上生物量相关关系的决定指数R2为0.77。
Abstract:
Biomass is closely related to the production.To establish nondestructive forecasting model of the biomass have the important meaning for soybean production forecast and cultivation management.By analyzing the relationships of the dry matter accumulation in above-ground part of soybean with the canopy reflectance of single waveband and all two-band combinations in ratio vegetation index(RVI),normalized difference vegetation index(NDVI)and differential vegetation index(DVI),the characteristic spectral wavebands for indicating the dry matter accumulation in above-ground part of soybean were determined,and the corresponding prediction model was established.The results showed that canopy spectral reflectance with soybean biomass had the highest correlation coefficient at 560 nm(R=-0.91，P<0.05); RVI,comprised of three visible wavelengths(485 nm,560 nm and 660 nm)and two near infrared wavelengths(830 nm and 1 650 nm),had significant correlation with soybean biomass accumulation.The soybean biomass prediction model was established by stepwise regression analysis.The determination coefficient R2 of 560 nm reflectivity and biomass was as high as 0.85,and of RVI830_560 and biomass was 0.77.

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备注/Memo

收稿日期：2017-06-12基金项目：河南省教育厅高等学校重点科研资助项目（15B210002、17A210010）第一作者简介：徐新娟（1979-），女，河南省漯河市人，硕士，实验师，从事植物营养生理及光合生理研究。E-mail:xinjuan_xu@163.com 。通讯作者：黄中文（1971-），男，河南省潢川县人，博士，教授，从事大豆分子育种研究。E-mail: hzw@hist.edu.cn。

更新日期/Last Update: 2018-01-31