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首页> 外文期刊>Journal of Applied Remote Sensing >Detection of potato beetle damage using remote sensing from small unmanned aircraft systems
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Detection of potato beetle damage using remote sensing from small unmanned aircraft systems

机译：使用小型飞机系统的遥感检测马铃薯甲虫损坏

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Colorado potato beetle (CPB) adults and larvae devour leaves of potato and other solanaceous crops and weeds, and may quickly develop resistance to pesticides. With early detection of CPB damage, more options are available for precision integrated pest management, which reduces the amount of pesticides applied in a field. Remote sensing with small unmanned aircraft systems (sUAS) has potential for CPB detection because low flight altitudes allow image acquisition at very high spatial resolution. A five-band multispectral sensor and up-looking incident light sensor were mounted on a six-rotor sUAS, which was flown at altitudes of 60 and 30 m in June 2014. Plants went from visibly undamaged to having some damage in just 1 day. Whole-plot normalized difference vegetation index (NDVI) and the number of pixels classified as damaged (0.70 ≤ NDVI ≤ 0.80) were not correlated with visible CPB damage ranked from least to most. Area of CPB damage estimated using object-based image analysis was highly correlated to the visual ranking of damage. Furthermore, plant height calculated using structure- from-motion point clouds was related to CPB damage, but this method required extensive operator intervention for success. Object-based image analysis has potential for early detection based on high spatial resolution sUAS remote sensing.
机译：科罗拉多土豆甲虫（CPB）成人和幼虫吞下土豆和其他溶于溶质作物和杂草，并且可能很快影响杀虫剂的抵抗力。利用早期检测CPB损坏，更多的选择可用于精密综合害虫管理，从而降低了在场中应用的农药量。具有小型无人机系统（SUAS）的遥感具有CPB检测的可能性，因为低飞行高度允许在非常高的空间分辨率下进行图像采集。五频带多光谱传感器和上门入射光传感器安装在六转座苏斯上，于2014年6月在60和30米的海拔地区飞行。植物从明显的未被造成的损失在短短1天内造成一些损坏。全绘制的归一化差异植被指数（NDVI）和分类为损坏的像素数（0.70≤ndvi≤0.80）与最少的可见CPB损坏没有相关。使用基于对象的图像分析估计的CPB损坏的区域与损坏的视觉排名高度相关。此外，使用结构 - 从运动点云计算的植物高度与CPB损坏有关，但这种方法需要广泛的运营商干预成功。基于对象的图像分析具有基于高空间分辨率SUA遥感的早期检测的潜力。

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