摘要
作物叶绿素含量能够反映作物的生长情况,建立大田叶绿素空间分布模型能够直观地表现田间作物长势情况,为开发车载式作物长势空间分布分析系统提供技术支撑,进行了基于地统计学的冬小麦叶绿素含量空间分布成图方法及精度分析。首先,采集了67个样区中心点叶绿素含量和GPS信息,基于地统计学理论讨论了利用稀疏样本点数据建立高精度空间分布图的可行性。随机划分建模集和验证集,基于建模样本分别使用反距离插值法(IDW)和普通克里金插值法(OK)绘制了冬小麦叶绿素含量田间分布图,然后对验证集数据进行分析,比较了2种方法的检测精度,并讨论了实验过程中可能存在的误差源。2种插值方法拟合的预测数据与验证数据均存在正相关关系,基于IDW插值与验证数据相关系数为0.722,协方差为1.361;基于OK插值与验证集数据相关系数为0.517,协方差为0.798。结果表明,IDW插值分析方法更适用于采样点分布不均且距离较近的稀疏样本点空间分布成图。
The chlorophyll content of crop could indicate the growth status of crop and the spatial model of the chlorophyll content in the field could help to make the decision on the field management.In order to develop a spatial distribution mapping system of winter wheat's growth parameter,the research was conducted to find a method to establish the model with high accuracy and sparse sample data points.The chlorophyll content and the GPS data were measured in the field.The 67 samples were involved and divided into the calibration and validation samples randomly.Firstly,according to the calibration data,the distribution maps of chlorophyll content were drawn by using inverse distance weighting(IDW)method and ordinary Kriging(OK) method respectively.The fitting data could be extracted at the same GPS position where the validation data located.And then,the accuracy analysis was discussed between the fitting data and the measured validation data.The results show that there is a positive correlation between them based on both IDW and OK map.However,compared with the OK method,the correlation coefficient between IDW fitting and validation data is higher with r is 0.722 and covariance is 1.361.The possible reason caused error in the research was also discussed.It could help to improve the mapping accuracy when the sampling points are unevenly distributed and closed to each other.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2017年第S1期92-97,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划项目(2016YFD0200600-2016YFD0200602)
国家自然科学基金项目(31501219)
中央高校基本科研业务费专项资金项目(2017TC029)
关键词
冬小麦
叶绿素含量
长势分布
插值分析
空间模型
地统计学
winter wheat
chlorophyll content
growth distribution diagram
interpolation analysis
spatial model
geo-statistics
