基于遥感影像的矿区水环境状态识别与检测——以珠江流域部分河段为例

Recognition and detection of water environment in mining area based on satellite image--a case study of the river sections in Pearl River Basin

矿区资源开采与利用过程中存在难以避免的水污染问题,传统的地面调查方法受到时间和区域的限制,耗时耗力。随着遥感技术的发展,大面积、实时监测矿区水环境状态成为可能。以流经韶关市的珠江流域部分河段为研究区,利用Landsat-8卫星影像,基于水体光谱特征的差异性,在水体信息提取的基础上,实现研究区矿山污染水体识别和监测。结果显示,研究区水体光谱值明显高于非污染水体,且水体光谱值与污染水体非常接近,表明该区域水体污染较为严重,可为区域生态环境改善提供决策支持。

It is difficult to avoid water pollution in the process of mining and utilization of mining resources,the traditional surface investigation method is limited by time and region,which is time consuming and labor consuming.With the development of remote sensing technology,it is possible to monitor the water environment in mining area in large area and in real time.In this paper,taking part of the Pearl River Basin through Shaoguan City as the research area,using Landsat-8 satellite images,based on the difference of water spectral characteristics,and on the basis of water information extraction,the identification and monitoring of mine polluted water in the study area were realized.The results show that the spectral values of the water in the study area are significantly higher than that of the non-polluted water,and the spectral values of the water are very close to that of the polluted water,indicating that the water in the study area is seriously polluted,which can provide decision support for the improvement of the regional ecological environment.