无人机监测松材线虫病的精度比较

利用无人机搭载可见光相机进行遥感拍摄,在430 m和700 m两个飞行高度下采集异常枯死松树遥感影像,将野外GPS采集的位置信息同ENVI遥感数据处理软件处理与解读数据信息进行比对。人工甄别和NDVI值提取枯死松树分别为6株与7株,数据有效率提取为85.71%;对无人机遥感获取的6株枯死松树地理位置信息进行实地验证,水平误差在0.86 m^4.20 m之间。表明无人机遥感基本实现了松材线虫病致死松树的精准定位,对于松材线虫病监测和后期除治具有重要意义。

Precision Comparison for Pine Wood Nematode Disease Monitoring by UAV

Remote sensing images of unusual dead pines were acquired at the heights of 430 m and 700 m by UAV(unmanned aerial vehicle) equipped with the visible light camera.The geographic location information collected by GPS was compared with the data processing information of ENVI software and the data processing information of interpretation.Six dead pine trees were identified by artificial screening and seven dead pine trees were identified by the NDVI value.Data extraction efficiency was 85.7%.The horizontal error was between 0.86 m and 4.20 m for geographical location information of the six dead pine trees obtained by remote sensing.The results showed that unmanned aerial vehicle remote sensing had basically realized the accurate location of pine trees dying from the pine wood nematode disease,which was of great significance for the early monitoring and later treatment of the pine wood nematode disease.