无人机遥感监测小麦条锈病初探

由条形柄锈菌小麦专化型(Puccinia striiformisf.sp.tritici)引起的小麦条锈病是我国重要的小麦病害之一,该病害是一种气传病害,在适宜条件下能够在短时间内大规模流行成灾[1].近年来,应用遥感技术进行植物病害监测的研究逐渐增多.Nilsson[2]综述了遥感技术在植物病害防控中的应用,认为多光谱测量、热红外、数码摄像、雷达、短波、激光、卫星等多种遥感监测技术,在植物病害和植物病害测量中具有很大潜力.无人机遥感也是遥感监测技术的重要组成部分,与一般的航空遥感相比,其具有成本低、分辨率高、受天气条件影响小的特点.

Preliminary study on monitoring wheat stripe rust with using UAV

To explore the potential application of unmanned aerial vehicle(UAV) on monitoring wheat stripe rust caused by Puccinia striiformis f.sp.tritici,the image of wheat plots was obtained at the UVA platform.Correlation analyses between disease indexes of stripe rust and four kinds of the reflectance,i.e.the canopy reflectance and the reflectances in red,green and blue band extracted from the image,were conducted.The estimation models between disease indexes and each kind of the reflectance were built using linear regression method.The results showed that there was an extremely significant difference between the reflectances of diseased wheat plots and healthy plots.Disease indexes had positive correlation with the four kinds of the reflectances.Disease index was best fitted by the model with the reflectance in red band as independent variable.The diseased and the healthy areas in the UAV image were distinguished by using ISODATA method.The results indicated that UVA-based monitoring of wheat stripe rust was feasible and image analysis technologies could play a potential role in the monitoring process.