不同灌水处理下冬小麦地上干生物量的高光谱监测
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摘要
地上干生物量是反映作物生长发育和产量的重要指标。本试验通过不同的灌溉处理,研究了冬小麦生育期地上干生物量的变化规律,分别利用多元线性回归(MLR)和连续投影算法-MLR(SPA-MLR)构建了冬小麦地上干生物量光谱监测模型。结果表明:拔节期+孕穗期+开花期+灌浆期的灌溉方案有利于生物量积累;基于SPA-MLR构建的预测模型精度均高于MLR预测模型,其中,以开花期模型最优,R~2达到了0.96,RMSE为0.092,验证集的R~2为0.76,RMSE为0.18;综合冬小麦主要生育时期(拔节期至灌浆期)的预测模型的R~2达到了0.64,RMSE为0.30,验证集的R~2为0.54,RMSE为0.26,可以实现拔节期至灌浆期冬小麦地上干生物量的预测。本研究可为利用高光谱遥感技术预测冬小麦地上干生物量提供技术支持。
Aboveground dry biomass is an important indicator for crop growth and yield. An experiment with different irrigation treatments was carried out to examine the changes of aboveground dry biomass of winter wheat. The predictive models for monitoring aboveground dry biomass were established using the methods of MLR and SPA-MLR. The results showed that irrigation at the jointing stage,booting stage,flowering stage and filling stages was a favorable method for aboveground biomass accumulation of winter wheat. The predictive models established with the method of SPA-MLR were more accurate than those built with the MLR method. Among them,the predictive model at the flowering stage of winter wheat performed best,with R~2= 0.96,RMSE = 0.092 and R~2= 0.76,RMSE = 0.18 for the calibration set and validation set,respectively.The predictive model covering all the growth stages from the jointing stage to filling stage of winter wheat achieved good prediction with R~2= 0.64,RMSE = 0.30 and R~2= 0.54,RMSE = 0.26 for the calibration set and validation set,respectively. Such a result indicated that this model could be potentially used to monitor the aboveground dry biomass in the winter wheat field as good predictive accuracy under extensive growth stages was achieved. Our results provide technical support for predicting the aboveground dry biomass of winter wheat using the hyperspectral technology.
Aboveground dry biomass is an important indicator for crop growth and yield. An experiment with different irrigation treatments was carried out to examine the changes of aboveground dry biomass of winter wheat. The predictive models for monitoring aboveground dry biomass were established using the methods of MLR and SPA-MLR. The results showed that irrigation at the jointing stage,booting stage,flowering stage and filling stages was a favorable method for aboveground biomass accumulation of winter wheat. The predictive models established with the method of SPA-MLR were more accurate than those built with the MLR method. Among them,the predictive model at the flowering stage of winter wheat performed best,with R~2= 0.96,RMSE = 0.092 and R~2= 0.76,RMSE = 0.18 for the calibration set and validation set,respectively.The predictive model covering all the growth stages from the jointing stage to filling stage of winter wheat achieved good prediction with R~2= 0.64,RMSE = 0.30 and R~2= 0.54,RMSE = 0.26 for the calibration set and validation set,respectively. Such a result indicated that this model could be potentially used to monitor the aboveground dry biomass in the winter wheat field as good predictive accuracy under extensive growth stages was achieved. Our results provide technical support for predicting the aboveground dry biomass of winter wheat using the hyperspectral technology.
引文
陈智芳,宋妮,王景雷,等.2017.基于高光谱遥感的冬小麦叶水势估算模型.中国农业科学,50(5):871-880.
成忠,张立庆,刘赫扬,等.2010.连续投影算法及其在小麦近红外光谱波长选择中的应用.光谱学与光谱分析,30(4):949-952.
房稳静,张雪芬,郑有飞.2006.冬小麦灌浆期干旱对灌浆速率的影响.中国农业气象,27(2):98-101.
何勇.2016.光谱及成像技术在农业中的应用.北京:科学出版社.
贺佳,刘冰峰,郭燕,等.2017.冬小麦生物量高光谱遥感监测模型研究.植物营养与肥料学报,23(2):313-323.
侯学会,牛铮,黄妮,等.2012.小麦生物量和真实叶面积指数的高光谱遥感估算模型.国土资源遥感,24(4):30-35.
贾学勤,冯美臣,杨武德,等.2018.基于多植被指数组合的冬小麦地上干生物量高光谱估测.生态学杂志,37(2):424-429.
李颖,薛利红,潘复燕,等.2014.氮磷互作对水稻冠层光谱的影响及其PNN识别.中国农业科学,47(14):2742-2750.
李卫国,赵春江,王纪华,等.2007.遥感和生长模型相结合的小麦长势监测研究现状与展望.国土资源遥感,19(2):6-9.
李宗南.2014.基于光能利用率模型和定量遥感的玉米生长监测方法研究(博士学位论文).北京:中国农业科学院.
林芬芳,丁晓东,付志鹏,等.2009.基于互信息理论的水稻磷素营养高光谱诊断.光谱学与光谱分析,29(9):2467-2470.
刘斌,任建强,陈仲新,等.2016.冬小麦鲜生物量估算敏感波段中心及波宽优选.农业工程学报,32(16):125-134.
刘轲,周清波,吴文斌,等.2016.基于多光谱与高光谱遥感数据的冬小麦叶面积指数反演比较.农业工程学报,32(3):155-162.
刘冰峰,李军,赵刚峰,等.2012.夏玉米叶片全氮含量高光谱遥感估算模型研究.植物营养与肥料学报,18(4):813-824.
潘蓓,赵庚星,朱西存,等.2013.利用高光谱植被指数估测苹果树冠层叶绿素含量.光谱学与光谱分析,33(8):2203-2206.
孙鸿烨.2014.近红外光谱建模中的变量选择方法研究(硕士学位论文).长春理工大学.
王超.2016.基于化学计量学方法的冬小麦长势光谱信息提取及监测研究(博士学位论文).太谷:山西农业大学.
王劼,秦琳琳,吴刚.2011.连续投影算法在小麦高光谱定量分析中的应用.电子技术,38(9):13-15.
王备战,冯晓,温暖,等.2012.基于SPOT-5影像的冬小麦拔节期生物量及氮积累量监测.中国农业科学,45(15):3049-3057.
王大成,王纪华,靳宁,等.2008.用神经网络和高光谱植被指数估算小麦生物量.农业工程学报,24(supp.2):196-201.
王振华,郑旭荣,姜国军.2015.不同灌水量对滴灌春小麦生长与生理指标的影响.核农学报,29(3):538-548.
夏天,吴文斌,周清波,等.2012.基于高光谱的冬小麦叶面积指数估算方法.中国农业科学,45(10):2085-2092.
杨飞,张柏,宋开山,等.2008.玉米光合有效辐射分量高光谱估算的初步研究.中国农业科学,41(7):1947-1954.
杨峰,范亚民,李建龙,等.2010.高光谱数据估测稻麦叶面积指数和叶绿素密度.农业工程学报,26(2):237-243.
杨海清,姚建松,何勇.2009.基于反射光谱技术的植物叶片SPAD值预测建模方法研究.光谱学与光谱分析,29(6):1607-1610.
杨庆锋,王纪华,莫良玉,等.2008.基于冠层反射光谱的冬小麦干物质积累量的估测研究.安徽农业科学,36(24):10436-10438.
姚宁,宋利兵,刘健,等.2015.不同生长阶段水分胁迫对旱区冬小麦生长发育和产量的影响.中国农业科学,48(12):2379-2389.
姚付启,蔡焕杰,王海江,等.2012.基于平稳小波变换的冬小麦覆盖度高光谱监测.农业机械学报,43(3):173-180.
郑玲,朱大洲,王成,等.2013.基于Lab VIEW的小麦生物量检测系统.农业机械学报,44(9):214-218.
Bai JH,Li SK,Wang KR,et al.2007.Estimating aboveground fresh biomass of different cotton canopy types with homogenetity models based on hyper spectrum parameter.Agricultural Sciences in China,6:437-445.
Chen H,Wang P,Li J,et al.2012.Canopy spectral reflectance feature and leaf water potential of sugarcane inversion.Physics Procedia,25:595-600.
Chen M,Glaz B,Gilbert RA,et al.2002.Near-infrared reflectance spectroscopy analysis of phosphorus in sugarcane leaves.Agronomy Journal,94:1324-1331.
Hansen PM,Schjoerring JK.2003.Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression.Remote Sensing of Environment,86:542-553.
Patel NK,Patnaik C,Dutta S,et al.2001.Study of crop growth parameters using airborne imaging spectrometer data.International Journal of Remote Sensing,22:2401-2411.
Rock BN,Vogelmann JE,Williams DL,et al.1986.Remote detection of forest damage.Bioscience,36:439-445.
Vaesen K,Gilliams S,Nackaerts K,et al.2001.Ground-measured spectral signatures as indicators of ground cover and leaf area index:The case of paddy rice.Field Crops Research,69:13-25.
Vila H,Hugalde I,De Filippo M.2011.Estimation of leaf water potential by thermographic and spectral measurements in grapevine.Ria Revista De Investigaciones Agropecuarias,37:46-53.
Yacobi YZ,Moses WJ,Kaganovsky S,et al.2011.NIR-red reflectance-based algorithms for chlorophyll-a estimation in mesotrophic inland and coastal waters:Lake Kinneret case study.Water Research,45:2428-2436.
Zhang C,Liu J,Shang J,et al.2018.Capability of crop water content for revealing variability of winter wheat grain yield and soil moisture under limited irrigation.Science of the Total Environment,631-632:677-687.
Zhang L,Zhou Z,Zhang G,et al.2012.Monitoring the leaf water content and specific leaf weight of cotton(Gossypium hirsutum L.)in saline soil using leaf spectral reflectance.European Journal of Agronomy,41:103-117.
Zhao CJ,Wang JH,Liu LY,et al.2006.Relationship of 2100-2300 nm spectral characteristics of wheat canopy to leaf area index and leaf N as affected by leaf water content.Pedosphere,16:333-338.
Zheng L,Zhu D,Liang D,et al.2015.Winter wheat biomass estimation based on canopy spectra.International Journal of Agricultural&Biological Engineering,8:30-36.
成忠,张立庆,刘赫扬,等.2010.连续投影算法及其在小麦近红外光谱波长选择中的应用.光谱学与光谱分析,30(4):949-952.
房稳静,张雪芬,郑有飞.2006.冬小麦灌浆期干旱对灌浆速率的影响.中国农业气象,27(2):98-101.
何勇.2016.光谱及成像技术在农业中的应用.北京:科学出版社.
贺佳,刘冰峰,郭燕,等.2017.冬小麦生物量高光谱遥感监测模型研究.植物营养与肥料学报,23(2):313-323.
侯学会,牛铮,黄妮,等.2012.小麦生物量和真实叶面积指数的高光谱遥感估算模型.国土资源遥感,24(4):30-35.
贾学勤,冯美臣,杨武德,等.2018.基于多植被指数组合的冬小麦地上干生物量高光谱估测.生态学杂志,37(2):424-429.
李颖,薛利红,潘复燕,等.2014.氮磷互作对水稻冠层光谱的影响及其PNN识别.中国农业科学,47(14):2742-2750.
李卫国,赵春江,王纪华,等.2007.遥感和生长模型相结合的小麦长势监测研究现状与展望.国土资源遥感,19(2):6-9.
李宗南.2014.基于光能利用率模型和定量遥感的玉米生长监测方法研究(博士学位论文).北京:中国农业科学院.
林芬芳,丁晓东,付志鹏,等.2009.基于互信息理论的水稻磷素营养高光谱诊断.光谱学与光谱分析,29(9):2467-2470.
刘斌,任建强,陈仲新,等.2016.冬小麦鲜生物量估算敏感波段中心及波宽优选.农业工程学报,32(16):125-134.
刘轲,周清波,吴文斌,等.2016.基于多光谱与高光谱遥感数据的冬小麦叶面积指数反演比较.农业工程学报,32(3):155-162.
刘冰峰,李军,赵刚峰,等.2012.夏玉米叶片全氮含量高光谱遥感估算模型研究.植物营养与肥料学报,18(4):813-824.
潘蓓,赵庚星,朱西存,等.2013.利用高光谱植被指数估测苹果树冠层叶绿素含量.光谱学与光谱分析,33(8):2203-2206.
孙鸿烨.2014.近红外光谱建模中的变量选择方法研究(硕士学位论文).长春理工大学.
王超.2016.基于化学计量学方法的冬小麦长势光谱信息提取及监测研究(博士学位论文).太谷:山西农业大学.
王劼,秦琳琳,吴刚.2011.连续投影算法在小麦高光谱定量分析中的应用.电子技术,38(9):13-15.
王备战,冯晓,温暖,等.2012.基于SPOT-5影像的冬小麦拔节期生物量及氮积累量监测.中国农业科学,45(15):3049-3057.
王大成,王纪华,靳宁,等.2008.用神经网络和高光谱植被指数估算小麦生物量.农业工程学报,24(supp.2):196-201.
王振华,郑旭荣,姜国军.2015.不同灌水量对滴灌春小麦生长与生理指标的影响.核农学报,29(3):538-548.
夏天,吴文斌,周清波,等.2012.基于高光谱的冬小麦叶面积指数估算方法.中国农业科学,45(10):2085-2092.
杨飞,张柏,宋开山,等.2008.玉米光合有效辐射分量高光谱估算的初步研究.中国农业科学,41(7):1947-1954.
杨峰,范亚民,李建龙,等.2010.高光谱数据估测稻麦叶面积指数和叶绿素密度.农业工程学报,26(2):237-243.
杨海清,姚建松,何勇.2009.基于反射光谱技术的植物叶片SPAD值预测建模方法研究.光谱学与光谱分析,29(6):1607-1610.
杨庆锋,王纪华,莫良玉,等.2008.基于冠层反射光谱的冬小麦干物质积累量的估测研究.安徽农业科学,36(24):10436-10438.
姚宁,宋利兵,刘健,等.2015.不同生长阶段水分胁迫对旱区冬小麦生长发育和产量的影响.中国农业科学,48(12):2379-2389.
姚付启,蔡焕杰,王海江,等.2012.基于平稳小波变换的冬小麦覆盖度高光谱监测.农业机械学报,43(3):173-180.
郑玲,朱大洲,王成,等.2013.基于Lab VIEW的小麦生物量检测系统.农业机械学报,44(9):214-218.
Bai JH,Li SK,Wang KR,et al.2007.Estimating aboveground fresh biomass of different cotton canopy types with homogenetity models based on hyper spectrum parameter.Agricultural Sciences in China,6:437-445.
Chen H,Wang P,Li J,et al.2012.Canopy spectral reflectance feature and leaf water potential of sugarcane inversion.Physics Procedia,25:595-600.
Chen M,Glaz B,Gilbert RA,et al.2002.Near-infrared reflectance spectroscopy analysis of phosphorus in sugarcane leaves.Agronomy Journal,94:1324-1331.
Hansen PM,Schjoerring JK.2003.Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression.Remote Sensing of Environment,86:542-553.
Patel NK,Patnaik C,Dutta S,et al.2001.Study of crop growth parameters using airborne imaging spectrometer data.International Journal of Remote Sensing,22:2401-2411.
Rock BN,Vogelmann JE,Williams DL,et al.1986.Remote detection of forest damage.Bioscience,36:439-445.
Vaesen K,Gilliams S,Nackaerts K,et al.2001.Ground-measured spectral signatures as indicators of ground cover and leaf area index:The case of paddy rice.Field Crops Research,69:13-25.
Vila H,Hugalde I,De Filippo M.2011.Estimation of leaf water potential by thermographic and spectral measurements in grapevine.Ria Revista De Investigaciones Agropecuarias,37:46-53.
Yacobi YZ,Moses WJ,Kaganovsky S,et al.2011.NIR-red reflectance-based algorithms for chlorophyll-a estimation in mesotrophic inland and coastal waters:Lake Kinneret case study.Water Research,45:2428-2436.
Zhang C,Liu J,Shang J,et al.2018.Capability of crop water content for revealing variability of winter wheat grain yield and soil moisture under limited irrigation.Science of the Total Environment,631-632:677-687.
Zhang L,Zhou Z,Zhang G,et al.2012.Monitoring the leaf water content and specific leaf weight of cotton(Gossypium hirsutum L.)in saline soil using leaf spectral reflectance.European Journal of Agronomy,41:103-117.
Zhao CJ,Wang JH,Liu LY,et al.2006.Relationship of 2100-2300 nm spectral characteristics of wheat canopy to leaf area index and leaf N as affected by leaf water content.Pedosphere,16:333-338.
Zheng L,Zhu D,Liang D,et al.2015.Winter wheat biomass estimation based on canopy spectra.International Journal of Agricultural&Biological Engineering,8:30-36.