基于无人机的林业环境重金属污染远程监测研究

Research on Remote Monitoring of Heavy Metal Pollution in Forestry Environment Based on UAV

现存的一些方法存在重金属含量估算精度较低的问题,提出基于无人机的林业环境重金属污染远程监测方法。基于无人机获取林业环境重金属污染数据,实施重金属污染数据的预处理,进行多光谱数据的预处理,通过构建林业环境重金属污染估算模型实现林业环境重金属污染远程监测的目的。在重金属污染估算模型的构建中引入最小二乘回归模型。实验结果证明该方法的均方根误差最小,表明其具备最高的估算精度,实现了精准的重金属污染远程监测。

Some existing methods have the problem of low estimation accuracy of heavy metal content.A remote monitoring method of heavy metal pollution in forestry environment based on UAV is proposed.Based on the UAV to obtain the heavy metal pollution data of forestry environment,the preprocessing of heavy metal pollution data and the preprocessing of multispectral data are implemented.The purpose of remote monitoring of heavy metal pollution of forestry environment is realized by constructing the estimation model of heavy metal pollution of forestry environment.The least square regression model is introduced into the construction of heavy metal pollution estimation model.The experimental results show that the root mean square error of this method is the smallest,which shows that it has the highest estimation accuracy and realizes accurate remote monitoring of heavy metal pollution.