棉花覆盖度特征及与其他生长参数关系分析

Analysis of Cotton Coverage Characteristics and the Relationships with Other Growth Parameters

利用安装在新疆乌兰乌苏农业气象试验站的作物生长自动监测系统2011—2012年拍摄的棉花生育期图像,采用现代图像处理技术进行阈值分割,自动获取棉花作物覆盖度(Ccp)数据,经对自动监测系统获取的Ccp值与棉花人工观测的叶面积指数(LAI)、植株高度之间关系进行分析,建立棉花Ccp与LAI、植株高度之间的关系模型。使用建立的关系模型,由自动监测系统获取的Ccp数据,反演2012年棉花的LAI和植株高度,并与人工观测结果进行对比。结果表明:应用棉花Ccp数据反演的LAI与人工实测结果具有较高的相关性和反演精度,说明通过自动观测棉花Ccp的方式进行LAI反演的方法是可行的;Ccp与株高的关系模型虽相关性高,但反演的株高精度较低,仍需进一步探索。

Cotton growth period images （obtained by crop growth automatic monitoring system installed in Wulanwusu Agrometeorological Experimental Station in Xinjiang） in 2011--2012 have been used to get Crop coverage proportion （Ccp） automatically by modern image processing technique of threshold value segmentation. Through analyzing the relationships between Ccp and artificial observation data of cotton, including Leaf Area Index （LAI） and Plant Height （PH）, the relationship models among them have been established. Using the models and the cotton Ccp data got from automatic monitoring system cotton LAI and PH in 2012 was back-calculated. When compared with artificial observation data, the results show that the value of LAI inversed from the cotton Ccp have high correlation and high inversion precision with artificial measured results, proving that using the observation of cotton Ccp to back-calculate its LAI is feasible. The relationship model about cotton Ccp and PH is in high correlation while the inversion precision is low, which need to be explored with more efforts.