以2个籼稻品种和2个粳稻品种为试材,分析了主要生育期不同品种间水稻冠层光谱反射率差异和同一品种不同生育期水稻冠层光谱反射率的变化趋势。结果表明,在350~750 nm波段品种间光谱反射率差异很小,在750~1 300 nm波段品种间光谱反射率差异随着生育进程的推进开始逐渐减小,每个品种随着生育期的推进光谱反射率有着明显的变化。总体而言,同一时期不同品种间水稻冠层光谱反射率存在一定差异,同一品种不同时期水稻冠层光谱反射率也存在一定差异。因此,在水稻高光谱研究中,应考虑不同品种和不同生育期的影响。
Based on the two indica rice varieties and two japonica varieties, the difference of canopy spectral reflectance between different rice in major growth period, and the variation trend of canopy spectral reflectance of different varieties at different growth stages were analyzed. The results showed that the differences of canopy spectral reflectance in 350~750 nm band was very small, but the differences of canopy spectral reflectance were gradually decreased with the advance of the growth process in 750~1300 nm band. There had obvious difference of canopy spectral reflectance of each variety at the same growth stage, and also had obvious difference of canopy spectral reflectance of the same variety at different growth stages. Therefore, the effects of different varieties and different growth stages should be considered in the hyperspectral study of rice.
[1] Stroppiana D, Boschetti M, Brivio P A, et al. Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry[J]. Field Crop Res, 2009, 111(1): 119-129.
[2] 郑志雄,齐龙,马旭,等. 基于高光谱成像技术的水稻叶瘟病病害程度分级方法[J]. 农业工程学报,2013,29(19):138-144.
[3] 杨杰,田永超,姚霞,等. 水稻上部叶片叶绿素含量的高光谱估算模型[J]. 生态学报,2009, 29(12):6 561-6 571.
[4] 张浩,欧阳由男,王会民,等. 识别不同水稻株型的高光谱模式方法的建立[J]. 核农学报,2010,24(6):1 274-1 279.
[5] 杨晓华,黄敬峰,王秀珍,等. 基于支持向量机的水稻叶面积指数高光谱估算模型研究[J]. 光谱学与光谱分析,2008,28(8): 1 837-1 841.
[6] Thenkabail P S, Smith R B, Pauw E D. Hyperspectral vegetation Indices and their relationships with agricultural crop characteristics[J]. Remote Sens Environ, 2000, 71(2): 158-182.
[7] 梁守真,施平,马万栋,等. 植被叶片光谱及红边特征与叶片生化组分关系的分析[J]. 中国生态农业学报,2010,18(4):804-809.
[8] 王纪华,赵春江,黄文江. 农业定量遥感基础与应用[M]. 北京:科学出版社,2008.
[9] 殷丽萍,邹忠,王冬梅,等. 水稻不同品种光谱监测试验研究[J]. 现代农业科技,2016(19):13-15.
[10] 王树文,赵越,王丽凤,等. 基于高光谱的寒地水稻叶片氮素含量预测[J]. 农业工程学报,2016,32(10):187-194.
[11] 张国圣,许童羽,于丰华,等. 基于高光谱的水稻叶片氮素估测与反演模型[J]. 浙江农业学报,2017,29(5):845-849.