基于反射光谱技术评价草坪质量模型的研究  

A study on a model of turf quality evaluation based on reflectance spectroscopy

作　　者：许岳飞[1] 金晶炜[2] 孙小玲[1] 周禾[1] 

机构地区：[1]中国农业大学动物科技学院,北京100193 [2]中国农业大学资源与环境学院,北京100193

出　　处：《草业学报》2009年第4期256-259,共4页Acta Prataculturae Sinica

基　　金：国家科技支撑计划项目(21037037)资助

摘　　要：草坪植物叶片中的叶绿素是影响草坪颜色的重要色素，是评价草坪质量的内在因素。采用便携式光谱仪，在室外自然光照条件下，测定2种草坪群落的反射光谱，选择草坪叶片叶绿素含量的敏感光谱波段400～700nm，应用偏最小二乘法（PLS）建立草坪植物叶片叶绿素与反射光谱的定量分析模型，结果表明，草坪植物叶绿素的预测值与实测值的相关性较好，相关系数为0．937，相对标准偏差为3．2％，建立偏最小二乘法估测草坪颜色的最优模型，均方根误差评价值较小（RMSE=0．26）。因此，反射光谱技术在园林绿化工程中为快速评价草坪质量提供了新的途径。Chlorophyll is an important pigment of turf color and it is an intrinsic factor for turf quality evaluation. The relationship between spectral properties of two turf communities and their chlorophyll contents were measured using reflectance spectroscopy with natural illumination. Results were analyzed by the partial least squares method. The model of chlorophyll content used reflectance spectroscopy in the range of 400-700 nm and gave a correlation coefficient between estimated values and real values of 0. 937, with a relative standard deviation of 3.2 %. A linear model of the partial least squares method with turf color was developed with a smaller RMSE （RMSE=0. 26）. Reflectance spectroscopy provides a new method for rapid turf quality evaluation in landscape engineering.

关 键 词：反射光谱 草坪 质量评价 叶绿素含量 偏最小二乘法 

分 类 号：S688.4[农业科学—观赏园艺] S812-05[农业科学—园艺学]