摘要
蓝藻在风力等气候因素的影响下,其状态更迭快速,而传统蓝藻监测方法速度慢,观测范围小,无法满足对蓝藻快速准确监测的技术需求。无人机遥感技术具有高时效、高机动性、高分辨率等特点,使其能够适用于快速变化的蓝藻水华监测。为验证无人机遥感技术在蓝藻快速识别和提取应用中的可靠性,利用集成RTK模块的大疆精灵4无人机获取太湖贡湖湾区域高分辨率影像,并通过一系列影像分析发现蓝藻提取正确率达到94.68%,Kappa系数为0.89,证实利用无人机影像进行蓝藻覆盖区域提取准确高效,说明其在蓝藻水华监测应用中具有广阔前景。
Under the influences of wind and other climatic factors,cyanobacteria blooms have a rapid change in state.The traditional cyanobacteria monitoring method is slow and the observation range is small,which cannot meet the technical requirements for rapid and accurate monitoring of cyanobacteria.The UAV remote sensing technology has the unique features of high timeliness,high maneuverability and high resolution,making it suitable for rapid changes in cyanobacterial bloom monitoring.In order to verify the reliability of UAV remote sensing technology in cyanobacteria rapid identification and extraction applications,this paper used the Phantom 4 UAV with integrated RTK module to obtain high-resolution images of the Gonghu Bay area of Taihu Lake,and through a series of image analysis,it was found that the correct extraction rate of cyanobacteria reached 94.68%,and the Kappa coefficient was 0.89.The results showed that the extraction of cyanobacteria covered by UAV images was accurate and efficient,indicating that it had broad prospects in cyanobacterial bloom monitoring applications.
作者
韩翠敏
程花
夏晴晴
屈铭志
刘润
HAN Cui-min;CHENG Hua;XIA Qing-qing(Jiangsu Jiangda Ecological Technology Co.,Ltd.,Wuxi,Jiangsu 214061)
出处
《安徽农业科学》
CAS
2020年第2期225-227,共3页
Journal of Anhui Agricultural Sciences
基金
江苏省政策引导类计划(国际科技合作)—重点国别及机构产业技术合作项目(BZ2017004)
关键词
蓝藻监测
精灵4
RTK无人机
监督分类
Cyanobacteria monitoring
Phantom 4 RTK UAV
Supervised classification
