|
|
- 2016
引黄灌区水稻红边特征及SPAD高光谱预测模型
|
Abstract:
叶绿素含量是评估水稻长势和产量的重要参数。为了实现快速而准确的叶绿素含量估测，以宁夏引黄灌区宁粳43号水稻为试验对象，通过不同的氮素水平试验，测定了水稻在拔节期、抽穗期和乳熟期的冠层高光谱反射率和叶片绿色度土壤、作物分析仪器开发（soil and plant analyzer development，SPAD）值，分析了水稻不同时期冠层光谱的红边变化特征，并建立了SPAD的估测模型。结果表明，水稻叶片SPAD值随供氮水平的增加而增加，随生育期的变化表现为至抽穗期达到最高，而后逐渐降低。冠层光谱反射率随供氮水平的提高在可见光波段降低，在近红外波段增加。冠层光谱的红边位置、红边幅值和红边面积从拔节期到抽穗期呈现出“红移”，至乳熟期呈“蓝移”现象，三个红边参数均随氮素水平的提高而增加。水稻拔节期是以红边面积为变量建立的模型对SPAD预测能力较好，而抽穗期和乳熟期则是以红边位置为参数建立的模型精度较高，与南方稻田叶绿素估算模型有所差异。利用高光谱技术对水稻SPAD值进行定量反演，可为西北地区水稻长势遥感监测提供理论依据
| [1] | Collins W. Remote Sensing ofCrop Type and Maturity [J].<em>Photogrammetric Engineering and Remote Sensing</em>, 1978, 44(1):43-55 |
| [2] | Tang Yanlin, Wang Renchao, Huang Jingfeng, et al. Hyperspectral Data and Their Relationships Correlative to the Pigment Contents for Rice Under Different Nitrogen Support Level [J].<em>Journal of Remote Sensing</em>, 2004, 8(2): 185-192(唐延林,王人潮,黄敬峰,等.不同供氮水平下水稻高光谱及其红边特征研究[J]. 遥感学报, 2004, 8(2): 185-192) |
| [3] | Wang Xiuzhen, Wang Renchao, Li Yunmei, et al. Study on Red Edge Characteristics of Rice Spectral Caused by Nitrogen Level [J]. <em>Journal of ZheJiang University (Agriculture & Life Sciences)</em>, 2001, 27(3): 301-306(王秀珍,王人潮,李云梅,等.不同氮素营养水平的水稻冠层光谱红边参数及其应用研究[J]. 浙江大学学报(农业与生命科学版), 2001, 27(3): 301-306) |
| [4] | Yang Feng, FanYamin, Li Jianlong, et al. Estimating LAI and CCD of Rice and Wheat Using Hyperspectral Remote Sensing Data [J]. <em>Transactions of the Chinese Society of Agricultural Engineering</em>, 2010, 26(2): 237-243(杨峰,范亚民,李建龙,等.高光谱数据估测稻麦叶面积指数和叶绿素密度[J]. 农业工程学报, 2010, 26(2): 237-243) |
| [5] | Inada K.Spectral Ratio of Reflectance for Estimating Chlorophyll Content of Leaf [J]. <em>Japanese Journal of Crop Sciense</em>, 1985, 54(3): 261-265 |
| [6] | Wang Fumin, Huang Jingfeng, Liu Zhanyu, et al. Optimal Simple Ratio Pigment Index for Estimating Pigment Contents of Rice [J]. <em>Journal of ZheJiang University (Agriculture & Life Sciences)</em>, 2009, 35(3): 321-328(王福民,黄敬峰,刘占宇,等.水稻色素含量估算的最优比值色素指数研究[J].浙江大学学报(农业与生命科学版), 2009, 35(3): 321-328) |
| [7] | Song Shalei, Li Pingxiang, Gong Wei, et al. PLS Wavelength Selection by Hyperspectral Remote Sensing in Rice [J]. <em>Geomatics and Information Science of Wuhan University</em>, 2010, 35(2): 219-223(宋沙磊,李平湘,龚威,等.基于水稻高光谱遥感数据的PLS波长选择研究[J]. 武汉大学学报·信息科学版, 2010, 35(2): 219-223) |
| [8] | Horler D N H, Dockray M, Barber J. The Red Edge of Plant Leaf Reflectance [J].<em>International Journal of Remote Sensing</em>, 1983, 4(2): 273-288 |
| [9] | Chen Junying, Tian Qingjiu, Shi Runhe. Study on Simulation of Rice Leaf's Chlorophyll Concentration via the Spectrum [J]. <em>Remote Sensing Information</em>, 2005(6): 12-16(陈君颖,田庆久,施润和.水稻叶片叶绿素含量的光谱反演研究[J].遥感信息,2005(6): 12-16) |
| [10] | Haboudane D, Miller J R, Tremblay N, et al. Integrated Narrow-Band Vegetation Indices for Prediction of Crop Chlorophyll Content for Application to Precision Agriculture [J]. <em>Remote Sensing of Environment</em>, 2002, 81(2-3): 416-426 |
| [11] | Sun Xuemei, Zhou qifa, He Qiuxia. Hyperspectral Variables in Predicting Leaf Chlorophyll Content and Grain Protein Content in Rice [J]. <em>Acta Agronomica Sinica</em>, 2005, 31(7): 844-850(孙雪梅,周启发,何秋霞.利用高光谱参数预测水稻叶片叶绿素和籽粒蛋白质含量[J]. 作物学报, 2005, 31(7): 844-850) |
| [12] | Ruffin C, King R L,Younan N H. A combined Derivative Spectroscopy and Savitzky-Golay Filtering Method for the Analysis of Hyperspectral Data [J]. <em>GIScience & Remote Sensing</em>, 2008, 45(1): 1-15 |
| [13] | Pu Ruiliang, Gong Peng. Hyperspectral Remote Sensing and Its Application [M]. Beijing: High Education Press,2000(浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000) |
| [14] | Thomas J R,Gausman H W. Leaf Reflectance vs. Leaf Chlorophyll and Carotenoid Concentrations for Eight Crops [J].<em>Agronomy Journal</em>, 1977, 69(5): 799-802 |
| [15] | Huang Xin, Zhang Liangpei.An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification from Urban Hyperspectral Imagery [J]. <em>IEEE Transactions on Geoscience and Remote Sensing, </em>2008, 46(12): 4 173-4 185 |
| [16] | Blackburn G A. Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches [J].<em>Remote Sensing of Environment</em>, 1998, 66(3): 273-285 |
| [17] | Song Shalei, Gong Wei, Zhu Bo, et al. Wavelength Selection and Spectral Discrimination for Paddy Rice, with Laboratory Measurements of Hyperspectral Leaf Reflectance [J].<em>ISPRS Journal of Photogrammetry and Remote Sensing</em>, 2011, 66(5): 672-682 |
