土壤重金属污染高光谱遥感定量监测

Hyperspectral Remote Sensing Quantitative Monitoring of Soil Heavy Metal Pollution

在工农业和城镇化不断发展的当下,针对日益严重的土壤重金属污染问题,必须采取快速高效的方法来提供相关的决策分析。文章在响应生态环境保护相关政策的基础上,主要致力于利用高光谱遥感定量反演技术,综合应用传统数学模型与机器学习方法,并结合互联网大数据及物联网平台,针对土壤重金属污染问题,搭建一个实时动态监测系统。该系统可得到相关区域的土壤重金属污染情况分布图,具备反演、评价、预警、污染源识别等功能。监测系统的建立为有效防治土壤重金属污染问题提供了保障,为相关决策分析提供了辅助依据。

With the continuous development of industry,agriculture and urbanization,rapid and efficient methods must be adopted to provide relevant decision analysis for the increasingly serious problem of heavy metal pollutioninsoil.On the basis of responding to the national policy of ecological environmental protection,this paper is mainly committed to building a real-time dynamic monitoring system for soil heavy metal pollution by utilizing the hyperspectral remote sensing quantitative inversion technology,integrating the traditional mathematical model and machine learning methods,and combining the Internet big data and the Internet of things platform.The system can obtain the distribution map of heavy metal pollution in soilin related areas,and it has the functions of inversion,evaluation,early warning,pollution source identification and so on.The establishment of the monitoring system provides a guarantee for the effective prevention and control of the heavy metal pollutioninsoil and provides an auxiliary basis for the relevant decision analysis.