天山北坡不同坡向旱地春小麦叶片叶绿素含量高光谱遥感监测研究
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摘要
【目的】依据野外实测的旱地春小麦叶绿素含量、冠层反射光谱及土壤含水率,比较了不同坡向旱地春小麦叶绿素含量、冠层光谱、光谱一阶微分的差异,分别建立适合不同坡向旱地春小麦叶绿素含量监测模型并检验模型精度。【方法】用相关分析法分析微分指数与叶绿素含量的相关性。【结果】春小麦叶绿素含量因坡向不同而存在差异,表现出阴坡地最高,双面坡地次之,阳坡地最低。可见光区域,阴坡地春小麦"峰谷"特征明显,阳坡地和双面坡地无此特征;近红外波段,旱地春小麦冠层光谱反射率表现出阴坡地>双面坡地>阳坡地的特点。【结论】旱地春小麦叶绿素含量与各微分指数的相关性均较好,通过了极显著水平检验。阴坡地与Kpv的相关系数为0.915,大于阳坡地和双面坡地与SDred和SDg的相关系数0.906和0.908。利用与不同坡向旱地春小麦叶绿素相关系数最大的微分指数建立的叶绿素含量监测模型表明,各地类春小麦叶绿素含量的监测均可用抛物线模型,预测精度分别达97.5%、95.7%和97.8%。
【Objective】Based on chlorophyll content,canopy spectral reflectance and field soil water of field measured spring wheat at dry land,this project aims to compare the difference of chlorophyll content, canopy spectral and the first derivative differential difference and respectively establish the chlorophyll content monitor models on different arid slopes. 【Method】The correlation derivative indices and chlorophyll content were analyzed.【Result】There was a significant difference in chlorophyll content of spring wheat on different slopes: shady land was the highest,double-sided land took the second place,and sunny land was the lowest. In the visible region, " peak-valley" feature of spring wheat in shady land was significant,but this phenomenon was not found in double-sided and sunny land. In near-infrared region,canopy spectral reflec-tance of dry spring wheat showed that shady land > double-sided land > sunny land. 【Conclusion】There was high correlation between chlorophyll content and derivative indices of dry land spring wheat,reaching 0. 01 significant level. Correlation coefficients of shady land and Kpv reached 0. 915,higher than 0. 906 and 0. 908 of sunny and double-sided land. Using the best derivative indices of chlorophyll content at dry land, the estimation model was established,and the monitor model showed that parabola model was available for every land,the estimated precision was 97. 5%,95. 7% and 97. 8%,respectively.
【Objective】Based on chlorophyll content,canopy spectral reflectance and field soil water of field measured spring wheat at dry land,this project aims to compare the difference of chlorophyll content, canopy spectral and the first derivative differential difference and respectively establish the chlorophyll content monitor models on different arid slopes. 【Method】The correlation derivative indices and chlorophyll content were analyzed.【Result】There was a significant difference in chlorophyll content of spring wheat on different slopes: shady land was the highest,double-sided land took the second place,and sunny land was the lowest. In the visible region, " peak-valley" feature of spring wheat in shady land was significant,but this phenomenon was not found in double-sided and sunny land. In near-infrared region,canopy spectral reflec-tance of dry spring wheat showed that shady land > double-sided land > sunny land. 【Conclusion】There was high correlation between chlorophyll content and derivative indices of dry land spring wheat,reaching 0. 01 significant level. Correlation coefficients of shady land and Kpv reached 0. 915,higher than 0. 906 and 0. 908 of sunny and double-sided land. Using the best derivative indices of chlorophyll content at dry land, the estimation model was established,and the monitor model showed that parabola model was available for every land,the estimated precision was 97. 5%,95. 7% and 97. 8%,respectively.
引文
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[8]梁亮,杨敏华,邓凯东,等.一种估测小麦冠层氮含量的新高光谱指数[J].生态学报,2011,31(21):6 595-6 604LIANG Liang,YANG ming-hua,DENG Kai-dong,et al.(2011).A new hyperspectral index for the estimation of nitrogen contents of wheat canopy[J].Acta Ecologica Sinica,31(21):6,595-6,604.(in Chinese)
[9]Cloutis,E.A.(1996).Review Article Hyperspectral geological remote sensing:evaluation of analytical techniques[J].International Journal of Remote Sensing,17(12),2,215-2,242.
[10]蒋金豹,陈云浩,黄文江,等.病害胁迫下冬小麦冠层叶片色素含量高光谱遥感估测研究[J].光谱学与光谱分析,2007,27(7):1364-1 369JIANG Jin-bao,CHEN Yun-hao,HUANG Wen-jiang,et al.(2007).Study on Hyperspectra Estimation of Pigment Contents in Canopy Leaves of Winter Wheat under Disease Stress[J].Spectroscopy and Spectral Analysis,27(7):1,364-1,369.(in Chinese)
[11]徐新刚,赵春江,王纪华,等.新型光谱曲线特征参数与水稻叶绿素含量间的关系研究[J].光谱学与光谱分析,2011,31(1):188-191XU Xin-gang,ZHAO Chun-jiang,WANG Ji-hua,et al.(2011).Study on Relationship between New Characteristic Parameters of Spectral Curve and Chlorophyll Content for rice[J].Spectroscopy and Spectral Analysis,31(1):188-191.(in Chinese)
[12]李佛琳,赵春江,刘良云,等.烤烟成熟鲜烟叶生化组分高光谱估算方法筛选[J].农业工程学报,2006,22(3):88-94LI Fo-lin,ZHAO Chun-jiang,LIU Liang-yun,et al.(2006).Selecting optimal hyperspectral method for estimation of biochemical concentration of FCV tobacco leaf at the maturity stage[J].Transactions of the CSAE,22(3):88-94.(in Chinese)
[13]唐延林,王秀珍,王珂.利用光谱法测定水稻生物物理参数及其与光谱变量的相关性研究[J].贵州大学学报(农业与生物科学版),2002,21(5):327-331TANG Yan-lin,WANG Xiu-zhen,WANG Ke.(2002).Study on correlation between biophysical parameter and spectral variable[J].Journal of Guizhou University(Agric Biol Sci),21(5):327-331.(in Chinese)
[2]Gitelson,A.A.,&Merzlyak,M.N.(2003).Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves[J].Journal of plant physiology,160(3),271-282.
[3]金震宇,田庆久,惠凤鸣,等.水稻叶绿素浓度与光谱反射率关系研究[J].遥感技术与应用,2003,(6):34-137JIN Zhen-yu,TIAN Qin-jiu,HUI Feng-ming,et al.(2003).Study of the Relation ship between Rice Chlorophyll Concentration and Rice Reflectance[J].Remote Sensing Technol Appl,(6):34-137.(in Chinese)
[4]吴长山,项月琴,郑兰芬,等.利用高光谱数据对作物群体叶绿素密度估算的研究[J].遥感学报,2000,4(3):228-232WU Chang-shan,XIANG Yue-qin,ZHENG Lan-fen,et al.(2000).Estimating chlorophyll density of crop canopies by using hyperspectral data[J].Journal of Remote Sensing,4(3):228-232.(in Chinese)
[5]刘小军,田永超,姚霞,等.基于高光谱的水稻叶片含水量监测研究[J].中国农业科学,2012,45(3):435-442LIU Xiao-jun,TIAN Yong-chao,YAO Xia,et al.(2012).Monitoring Leaf Water Content based on Hyperspectra in rice[J].Scientia Agricultura Sinica,45(3):435-442.(in Chinese)
[6]王进,李新建,白丽,等.干旱区棉花冠层高光谱反射特征研究[J].中国农业气象,2012,33(1):114-118WANG Jin,LI Xinjian,BI Li,et al.(2012).Syudy on Hyperspectral spectral reflectance characteristics of Cotton[J].Chinese Journal of Agrometeorology,33(1):114-118
[7]何挺,王静.土壤氧化铁光谱特征研究[J].地理与地理信息科学,2006,3(2):30-34HE Ting,WANG Jing.(2006).Study on spectral features of soil Fe2O3[J].Geography and Geo-Information Science,3(2):30-34.(in Chinese)
[8]梁亮,杨敏华,邓凯东,等.一种估测小麦冠层氮含量的新高光谱指数[J].生态学报,2011,31(21):6 595-6 604LIANG Liang,YANG ming-hua,DENG Kai-dong,et al.(2011).A new hyperspectral index for the estimation of nitrogen contents of wheat canopy[J].Acta Ecologica Sinica,31(21):6,595-6,604.(in Chinese)
[9]Cloutis,E.A.(1996).Review Article Hyperspectral geological remote sensing:evaluation of analytical techniques[J].International Journal of Remote Sensing,17(12),2,215-2,242.
[10]蒋金豹,陈云浩,黄文江,等.病害胁迫下冬小麦冠层叶片色素含量高光谱遥感估测研究[J].光谱学与光谱分析,2007,27(7):1364-1 369JIANG Jin-bao,CHEN Yun-hao,HUANG Wen-jiang,et al.(2007).Study on Hyperspectra Estimation of Pigment Contents in Canopy Leaves of Winter Wheat under Disease Stress[J].Spectroscopy and Spectral Analysis,27(7):1,364-1,369.(in Chinese)
[11]徐新刚,赵春江,王纪华,等.新型光谱曲线特征参数与水稻叶绿素含量间的关系研究[J].光谱学与光谱分析,2011,31(1):188-191XU Xin-gang,ZHAO Chun-jiang,WANG Ji-hua,et al.(2011).Study on Relationship between New Characteristic Parameters of Spectral Curve and Chlorophyll Content for rice[J].Spectroscopy and Spectral Analysis,31(1):188-191.(in Chinese)
[12]李佛琳,赵春江,刘良云,等.烤烟成熟鲜烟叶生化组分高光谱估算方法筛选[J].农业工程学报,2006,22(3):88-94LI Fo-lin,ZHAO Chun-jiang,LIU Liang-yun,et al.(2006).Selecting optimal hyperspectral method for estimation of biochemical concentration of FCV tobacco leaf at the maturity stage[J].Transactions of the CSAE,22(3):88-94.(in Chinese)
[13]唐延林,王秀珍,王珂.利用光谱法测定水稻生物物理参数及其与光谱变量的相关性研究[J].贵州大学学报(农业与生物科学版),2002,21(5):327-331TANG Yan-lin,WANG Xiu-zhen,WANG Ke.(2002).Study on correlation between biophysical parameter and spectral variable[J].Journal of Guizhou University(Agric Biol Sci),21(5):327-331.(in Chinese)
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